2018 Conference on Decision and Game Theory for Security
GameSec 2018, the 9th Conference on Decision and Game Theory for Security will take place in Seattle, WA, USA, on October 29 - 31, 2018.
The conference proceedings will be published by Springer as part of the LNCS series.
Description
Recent advances in information and communication technologies pose significant security challenges that impact all aspects of modern society. The 9th Conference on Decision and Game Theory for Security in Seattle, Washington, USA, focuses on protection of heterogeneous, large-scale and dynamic systems as well as managing security risks faced by critical infrastructures through rigorous and practically-relevant analytical methods. GameSec 2018 invites novel, high-quality theoretical and practical-relevant contributions, which apply decision and game theory, as well as related techniques such as distributed optimization, dynamic control and mechanism design, to build resilient, secure, and dependable networked systems. The goal of GameSec 2018 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, economic incentives and real-world security, reputation, trust and privacy problems.
Conference Topics include (but are not restricted to):
The goal of GameSec is to bring together academic and indus- trial researchers in an effort to identify and discuss the major technical challenges and recent results that highlight the connection between game theory, control, distributed optimization, economic incentives and real world security, reputation, trust and privacy problems in a variety of technological systems. Submissions should solely be original research papers that have neither been published nor submitted for publication elsewhere.
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Special Track on "Adversarial AI"
Day 2, Afternoon session. AI techniques have made significant inroads into security applications, such as crime prediction and detection in physical security, and intrusion and malware detection in cybersecurity. An important challenge in such adversarial applications of AI is that sophisticated malicious parties can manipulate the AI decision process, for example, by changing the decision environment or poisoning data used for learning, in order to degrade its effectiveness. The research area of Adversarial AI aims to understand vulnerabilities of AI systems to such adversarial tampering, as well as to develop techniques which make intelligent autonomous decision making robust to adversarial subversion. This special track invites submissions on approaches for attacking and defending AI systems, including research on adversarial machine learning, planning in adversarial settings, adversarial crowdsourcing, and more broadly on the use of AI in security and privacy. Please submit to the special track under the topic "Adversarial AI".
Tutorial Session on "Game-Theoretic Security"
Day 1, Morning session. Cyber attacks on both databases and critical infrastructure have threatened public and private sectors. Meanwhile, ubiquitous tracking and wearable computing have infringed upon privacy. Advocates and engineers have recently proposed using defensive deception as a means to leverage the information asymmetry typically enjoyed by attackers as a tool for defenders. In this tutorial, we give the audience an overview on the application of game theory to model deception for cybersecurity and privacy. The goal of this tutorial is to elaborate the taxonomy of deception, to provide the state-of-art literature, and to discuss recent advances in deceptive technologies in cybersecurity and privacy.
Plenary Speakers
Plenary speakers will be announced at a later date.
Conference Sponsors and Supporters
We thank all our sponsors for their kind support.
