GameSec 2020

Conference on Decision and Game Theory for Security

October 28 - 30, 2020, College Park, Maryland

2020 Conference on Decision and Game Theory for Security

GameSec 2020, the 11th Conference on Decision and Game Theory for Security, will take place at the University of Maryland - College Park, from October 28-30, 2020.

The conference proceedings will be published by Springer as part of the LNCS series.

GameSec 2020 and Covid-19 (important): The GameSec 2020 leadership team is actively monitoring the COVID-19 situation to ensure the safety, comfort and quality of experience for attendees and a successful course of the event. The GameSec 2020 leadership team is committed to holding the conference in 2020 as planned. In order to accommodate a large number of situations, we are offering the option for either physical presence or virtual participation. We would be delighted if all authors manage to attend, but are aware that special circumstances are best handled by having flexible options. Principal authors of accepted papers who are unable to attend the event in person will be given an option to present their submission online and attend an interactive virtual event with unique benefits. In case the situation prevents the event from taking place in its original location, it will be held fully in an interactive, live online setting. All matters related to publication and indexing will remain unchanged. The GameSec 2020 leadership team will make and announce a final decision on the nature of the conference (dual physical and remote, or fully remote attendance of authors) by August 31, 2020. Registration fees for physical presence or remote attendance will be announced also by August 31, 2020. Remote-access conference fees will be substantially reduced.

Steering board announcement: We are happy to welcome Prof. Radha Poovendran to the GameSec steering committee!

Description

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 (GameSec 2020) 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.

Conference Topics include (but are not restricted to):

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
  • Modeling and analysis of deception and antagonistic intrusion of information flow within a game-theoretic framework

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.

Paper Submission

Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

Keynote Speakers

TBD

Conference Sponsors and Supporters

We thank all our sponsors for their kind support.

GameSec 2020 Proceedings

GameSec 2020 proceedings will be published by Springer as part of the LNCS series. During the conference, the proceedings will be available free of charge online.