GameSec 2020: The 11th Conference on Decision and Game Theory for Security University of Maryland - College Park College Park, MD, United States, October 28-30, 2020 |
Conference website | https://www.gamesec-conf.org |
Submission link | https://easychair.org/conferences/?conf=gamesec2020 |
Abstract registration deadline | August 17, 2020 |
Submission deadline | August 24, 2020 |
Modern societies are becoming dependent on information, automation, and communication technologies more than ever. Managing the security of the emerging systems, many of them safety critical, poses significant challenges. The 11th Conference on Decision and Game Theory for Security will take place from October 28–30, 2020 at College Park, MD. It focuses on protection of heterogeneous, large-scale and dynamic cyber-physical systems as well as managing security risks faced by critical infrastructures through rigorous and practically relevant analytical methods. GameSec 2020 invites novel, high-quality theoretical and practically relevant contributions, which apply decision and game theory, as well as related techniques such as optimization, machine learning, dynamic control and mechanism design, to build resilient, secure, and dependable networked systems. The goal of GameSec 2020 is to bring together academic and industrial researchers in an effort to identify and discuss the major technical challenges and recent results that highlight the connections between game theory, control, distributed optimization, machine learning, economic incentives and real-world security, reputation, trust and privacy problems.
The conference proceedings will be published by Springer as part of the LNCS series.
Important Dates
Abstract submission (optional): August 17, 2020
Paper submission: August 24, 2020 (firm, extended deadline)
Decision notification: September 21, 2020
Camera-ready: October 5, 2020
Conference Topics
GameSec solicits research papers, which report original results and have neither been published nor submitted for publication elsewhere, on the following and other closely related topics:
- Game theory, control, and mechanism design for security and privacy
- Decision making for cybersecurity and security requirements engineering
- Security and privacy for the Internet-of-Things, cyber-physical systems, cloud computing, resilient control systems, and critical infrastructure
- Pricing, economic incentives, security investments, and cyber insurance for dependable and secure systems
- Risk assessment and security risk management
- Security and privacy of wireless and mobile communications, including user location privacy
- Socio-technological and behavioral approaches to security
- Empirical and experimental studies with game, control, or optimization theory-based analysis for security and privacy
- Adversarial Machine Learning and the role of AI in system security
Special Track on “Machine Learning and Cyber Security”
Machine learning provides a set of useful analytic and decision-making tools for a wide range of applications. Security research aims to address the issue of protecting networks from adversarial behaviors. The confluences between the two are increasingly important as we witness recent advances in adversarial machine learning and machine learning for security big data processing. This special track invites submissions on various data-centric models and approaches. For submissions, please select the track “Machine Learning and Cyber Security” during the submission.
Committees
Steering Board
Tansu Alpcan (University of Melbourne)
John S. Baras (University of Maryland)
Tamer Başar (University of Illinois at U-C)
Anthony Ephremides (University of Maryland)
Radha Poovendran (University of Washington)
Milind Tambe (Harvard University)
General Chairs
John S. Baras (University of Maryland)
Radha Poovendran (University of Washington)
TPC Chair: Quanyan Zhu (New York University)
Special Track Chair: Charles Kamhoua (Army Research Laboratory)
Publication Chair: Juntao Chen (Fordham University)
Publicity Chairs
Junaid Farooq (University of Michigan)
Stefan Rass (Universität Klagenfurt, Austria)
Arunesh Sinha (Singapore University of Management)
Web Chair: Andrew Clark (Worcester Polytechnic Institute)
TPC Members:
- Habtamu Abie (Norsk Regnesentral - Norwegian Computing Center)
- Konstantin Avratchenkov (INRIA Sophia Antipolis, France)
- Svetlana Boudko (Norsk Regnesentral - Norwegian Computing Center)
- Andrew Clark (Worcester Polytechnic Institute)
- Ahmet Cetinkaya (National Institute of Informatics, Japan)
- Prithviraj Dasgupta (U. S. Naval Research Laboratory)
- Jie Fu (Worcester Polytechnic Institute)
- Jens Grossklags (Technical University of Munich)
- Yezekael Hayel (University of Avignon, France)
- Hideaki Ishii (Tokyo Institute of Technology)
- Murat Kantarcioglu (University of Texas at Dallas)
- Arman (MHR) Khouzani (Queen Mary University of London)
- Christopher Kiekintveld (University of Texas at El Paso, US)
- Sandra Konig (AIT Austrian Institute of Technology)
- Aron Laszka (Vanderbilt University)
- Yee Wei Law (University of South Australia)
- M. Hossein Manshaei (Isfahan University of Technology, Iran)
- Katerina Mitrokotsa (Chalmers University of Technology, Sweden)
- Shana Moothedath (University of Washington, Seattle)
- Mehrdad Nojoumian (Florida Atlantic University)
- Manos Panaousis (University of Surrey)
- Sakshyam Panda (University of Surrey)
- David Pym (UCL)
- Bhaskar Ramasubramanian (University of Washington, Seattle)
- Stefan Rass (System Security Group, Klagenfurt University)
- Henrik Sandberg (KTH Royal Institute of Technology, Sweden)
- Stefan Schauer (AIT Austrian Institute of Technology)
- George Theodorakopoulos (Cardiff University)
- Jun Zhuang (SUNY Buffalo)