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Three PhD positions in Security and Privacy
by Rolando TRUJILLO RASUA 01 Jun '17

01 Jun '17

The University of Luxembourg seeks to hire three outstanding PhD candidates at the Computer Science and Communications Research Unit. The positions are part of the FNR PRIDE doctoral training programme on "Security and Privacy for System Protection". The University offers highly competitive salaries and is an equal opportunity employer. You will work in an exciting international environment and will have the opportunity to participate in the development of a dynamic and growing centre. Successful candidates will participate in the activities of the Security and Trust of Software Systems (SaToSS) research group led by Prof. Dr. Sjouke Mauw. The group is focused on formalising and applying formal reasoning to real-world security problems and trust issues. We offer three different research projects: - Multi-party Authentication Protocols. Further information and submission guidelines can be found at: https://goo.gl/yqPo6q - Adaptive Cyber-defenses. Further information and submission guidelines can be found at: https://goo.gl/FlMo5E - Security and Privacy in Social Networks. Further information and submission guidelines can be found at: https://goo.gl/TpZ3S7 Applications can be sent to more than one research project. Each application will be considered on receipt, therefore applying before the deadline is encouraged. ================================================== Deadline for applications: August 31st, 2017 ==================================================

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FGCS Journal - Special Issue on Emerging Trends, Issues and Challenges in Internet of Things, Big Data and Cloud Computing.
by Anna Kobusińska 01 Jun '17

01 Jun '17

Call for papers - *Future Special Issue on Emerging Trends, Issues and Challenges in Internet of Things, Big Data and Cloud Computing* https://www.journals.elsevier.com/future-generation-computer-systems/call-f… The future development of cloud computing systems is more and more influenced by Big Data and IoT. There are research and industrial works showing applications, services, experiments and simulations in the Cloud that support the cases related to IoT, Big Data and Security. Cloud users and cloud service providers face a variety of new challenges like encrypted data search, share, auditing, key management security and privacy. There is also a need for protocols that facilitate big data streaming from IoT to the cloud and QoS. This special issue encourages submissions related to all aspects of IoT, Big Data and Cloud Computing. In particular, it aims to examine the prospects and challenges that arise in conjunction with the trending topic in the field of Internet of Things and Big Data which are essential to comply with the necessities of modern cloud applications. Promoting the submission of the ongoing work with the existing important theoretical and practical results, along with position papers and case studies of already present verification projects, this special issue will highlight the art in this domain. As one of the goals, this special issue intends to convene researchers and practitioners to review the diverse range of features of security, privacy, trust and reliability in IoT and Cloud. It also examines significant theories, scrutinies technology enablers, formulates significant application and devise new methods to overcome the major problems that this research area poses. The objective of this special issue is to capture the latest advances in research topics that include but are not limited to: * Big Data and IoT on the Cloud * IoT Services and Applications * Security, Privacy and Trust in IoTSensor Networks * Remote Diagnosis and Development * Data Analysis and Visualization for IoT * Performance Evaluation and Modeling for IoT * Networking and Communication Protocols for IoT * Physical Security and Data LocationTechnological focus for Smart Environments * Data and Knowledge Management * Data Mining * Big Data Security * Cloud Computing Platforms, Applicationsand Management * Cloud Security and Privacy Management * Mobile Cloud Computing * Services Computing * Hybrid Cloud Computing * Virtualization of Resources in Clouds * Energy Efficiency in Clouds * Data Storage in Clouds * Cloud Applications Performance and Monitoring *Important Dates* Paper submission due: June 30, 2017 First-round acceptance notification: September 1, 2017 Revision: October 15, 2017 Final decision: December 15, 2017 Submission of final paper: January 15, 2018 Publication date: March, 2018 *Submission Guidelines* Paper submissions for the special issue should follow the submission format and guidelines for regular Elsevier Journal of Future Generation Computer Systems at http://ees.elsevier.com/fgcs/. All the papers will be peer-reviewed following the FGCS reviewing procedures. Guest editors will make an initial determination of the suitability and scope of all submissions. Papers that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be sent for review and the authors will be promptly informed in such cases. Authors should select “*SI:**Emerging Trends, Issues and Challenges in Internet of Things, Big Data and Cloud Computing*” when they reach the “Article Type” step in the submission process. Top conference papers from SC2-2016 (http://grid.chu.edu.tw/sc2-2016) and IoTDBS 2017 (http://www.iotbds.org) will be invited for extended and enhanced version for this special issue. Extended conference contributions must have *at least 50%* difference from the original works (the authors must indicate the conference name and make the reference to the base conference paper). *Guest Editors* Anna Kobusinska (Lead guest editor), Faculty of Computing,Poznan University of Technology, Poland. Raghavendra S, Department of Computer Science and Engineering,University Visvesvaraya College of Engineering,Bangalore, Karnataka, India. Carson Leung, Department of Computer Science,University of Manitoba,Winnipeg, MB, Canada. Robert Hsu, Department of Computer Science and Information Engineering, Chung Hua University, Taiwan. Victor Chang, International Business School Suzhou, Xi’an Jiaotong Liverpool University, China.

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Attractive positions - chairs, Phd and post-doc - At the e2s excellence program Univ. of Pau France
by Christian La Borderie 01 Jun '17

01 Jun '17

Dear Colleagues, Univ of Pau was elected in the Isite excellence call for proposal that ranks it among the best French universities in the domain of sciences. Within the frame of the Isite project which concerns energy and environment, the civil engineering takes it place in the domain of building physics but also in the classical domain of mechanics of materials (concrete, rocks), safety of structures, couplings and particularly in the domain of computation modeling thru FE computations. - 2 junior chair, 12 PhD grants and 4 postdoctoral fellowship are available The department of Civil Engineering of the University is located in the attractive place of the French Basque Country in the suburb of Bayonne-Anglet-Biarritz. Applicants are firstly chosen on their skills and transcripts, then they must develop a project in link with a professor of the university. Be careful at the deadlines - 20th of June for the Junior Chair - 10th of June for the Phd and the post-doc positions Best regards Christian La Borderie SIAME EA-4581 <http://siame.univ-pau.fr/> / ISA-BTP <http://isabtp.univ-pau.fr/> Université de Pau et des Pays de l'Adour <http://www.univ-pau.fr/>. European Journal of Environmental and Civil Engineering <http://www.tandfonline.com/tece>

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ACM-BCB Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine (ParBio) - Ext. Deadline
by Mario Cannataro 31 May '17

31 May '17

I apologize for any cross-posting of this announcement ======================================================================================== 6th International Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine (ParBio) http://staff.icar.cnr.it/cannataro/parbio2017/ held in conjunction with ACM BCB 2017 ACM Conference on Bioinformatics, Computational Biology and Health Informatics August 20-23, 2017 Boston, MA, USA http://acm-bcb.org/ ======================================================================================== * * * CALL FOR PAPERS * * * ======================================================================================== IMPORTANT DATES Paper submission (EXTENDED): June 11, 2017 Notifications sent to authors: June 18, 2017 Camera-ready papers due: June 21, 2017 (THIS IS A FIRM DEADLINE) Workshop: August 20, 2017 ======================================================================================== Due to the availability of high-throughput platforms (e.g. next generation sequencing, microarray and mass spectrometry) and clinical diagnostic tools (e.g. medical imaging), a recent trend in Bioinformatics and Biomedicine is the increasing production of experimental and clinical data. Considering the complex analysis pipeline of the biomedical research, the bottleneck is more and more moving toward the storage, integration, and analysis of experimental data, as well as their correlation and integration with publicly available data banks. While Parallel Computing and Grid Computing may offer the computational power and the storage to face this overwhelming availability of data, Cloud Computing is a key technology to hide the complexity of computing infrastructures, to reduce the cost of the data analysis task, and especially to change the overall model of biomedical research and health provision. Grid infrastructures may offer the data storage needed to store the huge experimental and biomedical data, while parallel computing can be used for basic pre-processing (e.g. parallel BLAST, mpiBLAST) and for more advanced analysis (e.g. parallel data mining). In such a scenario, novel parallel architectures (e.g. CELL processors, GPUs, FPGA, hybrid CPU/FPGA) coupled with emerging programming models may overcome the limits posed by conventional computers to the mining and exploration of large amounts of data. On the other hand, these technologies yet require great investments by biomedical and clinical institutions and are based on a traditional model where users often need to be aware and face different management problems, such as hardware and software management, data storage, software ownership, and not scalable costs (different professional-level applications in the biomedical domain have high starting costs that prevent many small laboratories to use them). The Cloud Computing technology, that is able to offer scalable costs and increased reachability, availability and easiness of application use, and also the possibility to enforce collaboration among scientists, is already changing the business model in different domains and now it starts to be used also in the bioinformatics (see for instance the recent JCVI Cloud Bio-Linux initiative) and biomedical domains. However, many problems remain to be solved, such as availability and safety of the data, privacy-related issues, availability of software platforms for rapid deployment, execution and billing of biomedical applications. The goal of ParBio 2017 is to bring together scientists in the fields of high performance and cloud computing, computational biology and medicine, to discuss, among the others, the organization of large scale biological and biomedical databases, the parallel/service-based implementation of bioinformatics and biomedical applications, and problems and opportunities of moving biomedical and health applications on the cloud. The workshop will focus on research issues, problems and opportunities of moving biomedical and health applications on the cloud, as well as on the opportunity to define guidelines and minimum requirements for a Biomedical Cloud. Moreover, the workshop will discuss about parallel and distributed management and analysis of molecular and clinical data, that more and more need to be integrated and analyzed in a joint way. TOPICS OF INTEREST The main themes and research topics will regard the applications of parallel and high performance computing to biology and medicine, as well as Cloud Computing opportunities and problems for bioinformatics and biomedical applications - Large scale biological and biomedical databases - Data integration and ontologies in biology and medicine - Integration and analysis of molecular and clinical data - Parallel bioinformatics algorithms - Parallel visualization and exploration of omics and clinical data - Parallel visualization and analysis of biomedical images - Computing environments for large scale collaboration - Scientific workflows in bioinformatics and biomedicine - Emerging architectures and programming models for bioinformatics and biomedicine - Parallel processing of bio-signals - Modeling and simulation of complex biological processes - Cloud Computing for bioinformatics and biomedicine - Cloud Computing for health systems - Privacy issues for Cloud-based biomedical applications - (Web) Services for bioinformatics and biomedicine - Grid Computing for bioinformatics and biomedicine - Peer-To-Peer Computing for bioinformatics and biomedicine PROGRAM The workshop will take place on August 20, 2017 It is scheduled as half-day The program is not available yet. PAPER SUBMISSION, REGISTRATION AND PUBLICATION ParBio 2017 welcomes original submissions that have not been published and that are not under review by another conference or journal. Papers should not exceed 10 pages in ACM template on 8.5 x 11 inch paper (see ACM templates - http://www.acm.org/sigs/publications/proceedings-templates). All submissions will be evaluated on their originality, technical soundness, significance, presentation, and interest to the conference attendees. Submission implies the willingness of at least one of the authors to register and present the work associated with the paper submitted. ParBio’s technical program committee will review all submitted papers. All accepted papers of registered authors will be included in the workshop proceedings published by ACM digital libraries. Authors of selected papers may be invited to adapt their papers for their publication in several journals. Authors of accepted papers will be required to submit an online ACM Copyright Form. Authors will be contacted by ACM requesting this information. (Note that ACM copyright permissions are directly compatible with NIH and similar open access policies, see http://authors.acm.org/main.html for more information.). Authors should submit papers using the ParBio2016 Easy Chair Installation (https://easychair.org/conferences/?conf=parbio2017) IMPORTANT DATES Paper submission (EXTENDED): June 11, 2017 Notifications sent to authors: June 18, 2017 Camera-ready papers due: June 21, 2017 (THIS IS A FIRM DEADLINE) Workshop: August 20, 2017 WORKSHOP ORGANIZERS Prof. Mario Cannataro, Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Italy Prof. John A. Springer, Department of Computer and Information Technology, Purdue University, USA PROGRAM COMMITTEE Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy Pratul K. Agarwal, Oak Ridge National Laboratory, USA Marian Bubak, AGH Krakow, PL, and University of Amsterdam, NL Umit Catalyurek, The Ohio State University, USA Jake Y. Chen, Indiana University - Purdue University Indianapolis (IUPUI), USA Tim Clark, Harvard Medical School, USA Giuseppe Di Fatta, University of Reading, UK Werner Dubitzky, University of Ulster, UK Ananth Y. Grama, Purdue University, USA Concettina Guerra, Georgia Institute of Technology, USA Pietro Hiram Guzzi, University Magna Graecia of Catanzaro, Italy Kamer Kaya, The Ohio State University, USA Salvatore Orlando, University of Venezia, Italy Maria S. Perez, Universidad Politecnica de Madrid, Madrid, Spain Richard Sinnott, University of Melbourne, Melbourne, Australia Roberto Tagliaferri, University of Salerno, Italy Paolo Trunfio, University of Calabria, Italy Pierangelo Veltri, University Magna Graecia of Catanzaro, Italy Albert Zomaya, University of Sydney, Australia

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(Deadline extended) CFP -- ATIR: Workshop on Axiomatic Thinking for Information Retrieval and Related Tasks @ SIGIR 2017
by Hui Fang 31 May '17

31 May '17

Call For Papers (SUBMISSION DEADLINE EXTENDED TO JUNE 23) ATIR: Workshop on Axiomatic Thinking for Information Retrieval and Related Tasks Co-located with ACM SIGIR 2017 August 11, 2017. Tokyo, Japan Workshop Website: https://www.eecis.udel.edu/~hfang/ATIR.html <https://www.eecis.udel.edu/~hfang/ATIR.html> Motivation The goal of the proposed workshop is to bring together researchers and practitioners interested in applying axiomatic analysis to all kinds of IR and IR-related problems, including particularly both those interested in developing retrieval models and those interested in developing evaluation measures, and to enable them to share their findings (both positive or negative), to present their latest research results, and to discuss future directions. Theme As the title of the workshop suggested, the general theme of the workshop will be about all aspects of applications of axiomatic thinking to solve IR and IR-related problems. The basis of this general theme is the recent growth of work on applying axiomatic thinking to analyze and improve both retrieval models and evaluation metrics, which we expect to continue. The existing work has clearly demonstrated many advantages of axiomatic thinking, including particularly specific theoretical results in the form of novel constraints to be satisfied by retrieval functions or evaluation metrics and improved models or evaluation metrics. However, much more research is still needed in multiple directions. Opportunities of applying axiomatic thinking also go beyond analyzing the basic retrieval functions; in fact, understanding constraints is also beneficial to many IR tasks that use machine learning techniques. Instead of having a designer carefully choose a set of assumptions to make when designing a formal model, these approaches use machine learning to weight items in a pool of features derived from many retrieval heuristics. However, this potentially results in a bloated backend which computes many features irrelevant to the task or collection. Having knowledge about relevant features would help slim down backends and speed learning and ranking. An important strength of the axiomatic methodology is that evaluation data sets become resources used to check motivated hypotheses instead of optimization mechanisms, which are at risk of overfitting. There are even more opportunities for new research on applying axiomatic thinking to evaluation as has already been happening where researchers have done axiomatic analysis of metrics for tasks such as text categorization, clustering, and ranking. In general, an understanding of how to apply axiomatic thinking to IR problems may become increasingly important as information retrieval continues to broaden into new areas. New tasks often require new constraints, and an understanding of these constraints can provide guidance on how to adapt existing methods or how to develop new methods for the new tasks. For example, domain-specific IR tasks such as medical record search might require new retrieval constraints that can capture the domain knowledge. The workshop aims to bring together researchers and practitioners from a broader community to exchange research ideas and results and to foster collaborations across subcommunities. Some of the specific topics we envision to be covered by the workshop theme include, but not limited to: - What constraints are effective to improve retrieval performance independent of the underlying model? - What constraints were expected to be useful but have not been effective in practice? Why not? - In the case of evaluation metrics, why some metric constraints do not affect the system comparison or the user satisfaction? - How can we potentially unify the axiomatic analysis of IR models and evaluation metrics given that both lines of work aim at formally modeling relevance? - Have new languages, media, or domains suggested new constraints for established domains? - To what extent is a valid constraint in one domain also valid in other domains? More generally, which constraints for retrieval methods or evaluation metrics are core ones, and which constraints are highly scenario dependent? - How can axiomatic thinking be combined with machine learning techniques to learn more effective retrieval functions? Planned Activities - Keynote talk - Panel - Presentations of papers Paper Submission We solicit papers describing research work related to the above theme. In addition to the innovative methods with promising results, we also welcome papers reporting negative results. Papers need to be: - 4 or 10 pages - In ACM format - Submission site: https://easychair.org/conferences/?conf=atir2017 <https://easychair.org/conferences/?conf=atir2017> Formal proofs can be added as additional material. The submissions are not anonymous. Important Dates - Submission deadlines: June 23 (for both long and short papers) - Review due: July 7 - Notification: July 10 Workshop Organizers - Enrique Amigo - Hui Fang - Stefano Mizzaro - ChengXiang Zhai ———— Hui Fang Associate Professor David L. and Beverly J. C. Mills Chair JPMC Scholar Department of Electrical and Computer Engineering University of Delaware

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Call For Participation: The 26th ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC-26)
by Song, Shuaiwen 30 May '17

30 May '17

Call for Participation - HPDC-2017<http://hpdc.org/2017/> Washington D.C., June 26-30, 2017 Early registration is open!<http://hpdc.org/2017/registration/> The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier annual conference for presenting the latest research on the design, implementation, evaluation, and the use of parallel and distributed systems for high-end computing. The 26th HPDC conference and its seven associated workshops will take place at the Westin George Hotel, June 26-30 in Washington, D.C., featuring a technical program covering various aspects of high-performance computing, three distinguished keynote speakers, and an industry session: HPDC 2017 Program<http://hpdc.org/2017/program/> Keynote speakers: Julia Lane<http://cusp.nyu.edu/people/julia-lane/>, Professor at NYU's Center for Urban Science and Progress (CUSP). Rick Stevens<https://www.cs.uchicago.edu/directory/rick-stevens>, Professor at UChicago and Argonne National Labs. Janice Coen<https://staff.ucar.edu/users/janicec>, Project Scientist at the National Center for Atmospheric Research (NCAR). Achievement Award Recipient: David Abramson<http://researchers.uq.edu.au/researcher/2986>, Professor at University of Queensland. Technical Sessions: * Scheduling * Data Management * Parallel Methods and Algorithms * Fault Tolerance * Performance Modeling and Analysis * Data Partitioning Workshops: FTXS<https://sites.google.com/site/ftxsworkshop/home/ftxs-2017> (Fault Tolerance) SEM4HPC<http://periscope.in.tum.de/sem4hpc/> (Software Engineering) ROSS<http://htor.inf.ethz.ch/ross2017/> (Operating Systems) ScienceCloud<https://sites.google.com/site/sciencecloudhpdc/> (Scientific Cloud Computing) HPDC'17 Student Travel Grants Application<http://www.hpdc.org/2017/registration/student-travel-grants/> Applications due by June 2nd, 2017 General Co-Chairs Howie Huang - George Washington University, USA Jon Weissman - University of Minnesota, USA Program Co-Chairs Adriana Iamnitchi - University of South Florida, USA Alexandru Iosup - Vrije Universiteit Amsterdam and Delft University of Technology, the Netherlands Posters Chair Radu Prodan - University of Innsbruck, Austria Workshops Chairs Rich Wolski - University of California at San Diego, USA Ana Lucia Varbanescu - University of Amsterdam, The Netherlands -- Shuaiwen Leon Song Staff Research Scientist High Performance Computing Group, Advanced Computing, Mathematics, and Data Division, Pacific Northwest National Lab (PNNL), Washington, US, Office:509-372-4189 Email: Shuaiwen.Song(a)pnnl.gov HomePage: https://sites.google.com/site/shuaiwenleonsongresearch/ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ It is never too late to become what you might have been. ^ -- George Elliot ^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

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CFP – Central European Cybersecurity Conference (16-17 November 2017)
by CECC 29 May '17

29 May '17

Dear Colleague, Please consider submitting an article to the Central European Cybersecurity Conference – CECC 2017 to be held on 16 – 17 November 2017 in Ljubljana, Slovenia. CECC 2017 aims at establishing a venue for the exchange of information on cybersecurity and its many aspects in central Europe. CECC 2017 encourages the dialogue between researchers of technical and social aspects of cybersecurity, both crucial in attaining adequate levels of cybersecurity. Complementary contributions dealing with its economic aspects as well as any legal, investigation or other issues related to cybersecurity are welcome, too. The abstract submission deadline has been recently extended to 19 June 2017. Publications: 1. All accepted and presented research papers will be available in Open Access conference proceedings published by the University of Maribor Press and submitted for indexing by DBLP, Elsevier SCOPUS and Thomson Reuters Web of Science™ Core Collection. 2. Selected accepted and presented research papers will be published, after further revision to ensure adequate quality for journal papers, in special issue “Technical and Social Aspects of Critical Infrastructure Security” of the Journal of Universal Computer Science (ISSN 0948-695x / 0948-6968). More details can be found on the conference website: https://www.fvv.um.si/cecc2017/ Best regards, CECC 2017 Organizers

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PhD Scholarship in Intelligent and Immersive Big Data Analytics
by Quang Vinh Nguyen 29 May '17

29 May '17

With the growth of data and technologies, visual analytics platforms have been extended from ordinary personal computers to different environments such as large and high resolution displays, portable devices and virtual reality (VR), augmented reality (AR) or both. Immersive visual analytics have been considering one of the potential approaches for analysing and manipulating large data sets. Large immersive systems may not be suitable for individual analysts due to their size, complexity and the lack of portability. Portable immersive environment, such as Microsoft Hololens, gives the users holograms real-world context and scale, allowing them to interact with both digital content and the world around them. The device could open a new research direction in analysing large information interactively and in real time in the personalised and immersive environment. This project looks at a new way to use supporting technologies in virtual reality and augmented reality to support the large scale visual analytics. The specific objectives of this research are to * Investigate new interactive visualisation platform for VR and AR environment. * Integrate and expand knowledge in information visualisation, artificial intelligent with technologies to enable personalised visualisation. * Develop new methods and algorithms that enables the natural interaction and data manipulation in the immersive environment. * Evaluate the effectiveness of the visual analytics What does the scholarship provide? * Domestic students receive a tax-free stipend of up to AU$30,000 per annum for up to 3 years, and a funded place in the doctoral program. * International students receive a tax-free stipend up to AU$30,000 per annum. Outstanding students may be awarded a Tuition Fee Waiver valued at approximately AU$24,000 per annum for up to 3 years. Selection Criteria The successful candidate must have: * A bachelor degree with First Class Honours, OR a Masters Degree with research experience (including research publications). * A strong background in the field of computer science or related degrees. * High-level of interest and knowledge in Visualisation, Human-Machine Interaction or Data Science are preferred. * High-level of programming skills. * Must satisfy Western Sydney University's English language requirements. How to Apply * Applicants should discuss their eligibility and the project with Doctor Quang Vinh Nguyen (q.nguyen(a)westernsydney.edu.au<mailto:q.nguyen@westernsydney.edu.au>) before submitting the application, including sending CV, academic transcripts, and publications. * Submit a scholarship application form, CV, and all other relevant supporting documentation to the Graduate Research School (grs.scholarships(a)westernsydney.edu.au). * Applicants should ensure that all relevant documents are certified according to Western Sydney University requirements. Incomplete applications will not be considered. * If you have any queries regarding the application process or enrolment, please contact the Graduate Research School at grs.scholarships(a)westernsydney.edu.au; +61 2 4736 0966. Applications will be considered until the position is filled. This scholarship is made possible by philanthropic support from Oracle Oracle offers a comprehensive and fully integrated stack of cloud applications and platform services. For more information about Oracle (NYSE:ORCL), visit www.oracle.com. https://www.westernsydney.edu.au/newscentre/news_centre/more_news_stories/o… -- Best Regards, Dr. Quang Vinh Nguyen | Senior Lecturer in Visual Analytics School of Computing, Engineering & Mathematics, and MARCS Institute Room: ER.G.18 (Building ER), Parramatta Campus Phone: +61 2 9685 9328 Email: q.nguyen(a)westernsydney.edu.au Homepage: http://staff.scem.westernsydney.edu.au/~vinh/ [WSU_Logo_hex_142x56px_email signature]

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Cyber Security PhD Schoalrship
by Vijay Varadharajan 28 May '17

28 May '17

Cyber Security PhD Scholarship – The University of Newcastle with the Defense Science and Technology (DST) Group Supervisors: Prof. Vijay Varadharajan, The University of Newcastle and Dr. Anton V. Uzunov, DST Group Topic Area: Advanced Authorization Infrastructures for Distributed Autonomic Systems Autonomic computing – or equivalently, self-adaptive computing – is concerned with supporting dynamic system evolution in response to changing internal or external circumstances, by endowing systems with automated self-management capabilities, thereby turning ordinary software systems into autonomic systems (or equivalently, self-adaptive or self-managing systems). One of the core properties whose enforcement leads to supporting such self-management capabilities is self-protection, which can be defined as a system’s ability to anticipate, to prevent, to detect and guard itself against cyber security threats. A significant problem with self-protection is how to constrain and control system actions, which involves aspects such as specification of privileges to perform actions, propagation of privileges in a distributed environment and their enforcement in heterogeneous systems and devices, ranging from cloud servers to mobile Internet of Things. The project is expected to investigate cryptographically enforced access control models and distributed capability-based models. The research will consider how access classes and capabilities with different privileges can be specified, keys and capabilities can be securely propagated in distributed, heterogeneous environments, how access to services and to devices/nodes should be enforced in a decentralized context, and what adaptation mechanisms should be applied in response to changing system/operational conditions. The project will involve the design of security architecture, development of new algorithms as well as the development of proof-of-concept implementations or case studies to validate the developed models and techniques in simulated or real-life scenarios. It is envisioned that the outcomes and outputs of the project will be specifically applicable to both IoT and autonomous cyber defense scenarios, and all case studies and/or application examples will be drawn from these areas. Scholarship Duration: 3 and ½ years Eligibility * Australian Citizenship required. * Must be Motivated and Committed to Doing Research * Knowledge of Cryptography and Security Techniques will be helpful. Contact: vijay.varadharajan(a)newcastle.edu.au<mailto:vijay.varadharajan@newcastle.edu.au> or Anton.Uzunov(a)dst.defence.gov.au<mailto:Anton.Uzunov@dst.defence.gov.au> Application Deadline: 30 June 2017

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CfP: IEEE eScience Environmental Computing Workshop (ECW) - Oct 24 - 27, Auckland, New Zealand
by Matti Heikkurinen/LMU 26 May '17

26 May '17

Call for Papers: Environmental Computing Workshop (ECW) Organised in conjunction with eScience 2017 conference October 24 - 27 2017 Auckland, New Zealand http://www.envcomp.eu/eScience2017 This workshop will bring together practitioners, policymakers, and environmental modelling experts to present the latest developments in Environmental Computing. Submissions by groups and individuals working on related – or potentially related – fields are also encouraged in order to uncover new opportunities for interdisciplinary collaboration. The topics of interest include: • Case studies in environmental computing related domains • Environmental modelling and optimisation techniques • Novel environmental computing applications • Multi-scale, multi-model and multi-physics systems • Civil protection and related engineering challenges • Scalability of environmental HPC and Big Data applications • Risk analysis, assessment, management, and mitigation • Interdisciplinary and stakeholder collaboration • Dynamic multi-directional model coupling approaches • Multifaceted data and metadata frameworks • Urgent computing and probabilistic models • Data visualisation and interactive analysis • Uncertainty quantification and visualisation BACKGROUND Already today, many domain- or problem-specific areas – such as meteorology or seismic analysis –use multi-model, multi-data, and multi-scale approaches to analyse and study environmental phenomena and their impact. However, a more generalised approach to producing actionable knowledge from different environmental data sources is needed to build more comprehensive multi-model systems that can more readily support various decision making processes. The topic is of acute interest due to environment-related societal challenges that require generalising, productising and maturing today’s environmental modelling solutions. Imminent application areas of environmental computing include managing disasters and disaster risks, supporting prompt political decision making, and many other similar domains. PAPER AND ABSTRACT SUBMISSION The contributions can be traditional papers (maximum 10 pages), experience papers (short papers or annotated slide sets of maximum 15 slides) or presentations abstracts. Contributions should be submitted at https://easychair.org/conferences/?conf=ecw2017 by June 30th. Please consult the conference call for papers page (http://escience2017.org.nz/submissions/call-for-papers/) for information about templates and submission types. IMPORTANT DATES Paper Submission: June 30, 2017 Notification of Acceptance: July 28, 2017 Camera-Ready: August 11, 2017 Conference: October 23 – 27, 2017 (Auckland, New Zealand) ORGANISATION AND CONTACT Dieter Kranzlmüller, LMU & LRZ Munich, Germany Sam Dean, NIWA, New Zealand Matti Heikkurinen, LMU Munich http://www.envcomp.eu/eScience2017 - info(a)envcomp.eu

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computational.science