2017 Conference on Decision and Game Theory for Security
GameSec 2017, the 8th Conference on Decision and Game Theory for Security will take place in Vienna, Austria, on October 23-25, 2017.
Nations, corporations, and individuals constantly need to reason about how to protect their sensitive assets in order to ensure economic growth and prosperity. Decision making for security and privacy of infrastructure and information needs a scientific framework that can handle challenges arising from modern-day heterogeneous, dynamic, and large-scale systems.
GameSec solicits theoretical and practical contributions towards a science of decision making in security. In particular, GameSec publishes papers that apply decision and game theory, as well as related techniques such as dynamic control and mechanism design, to build resilient, secure, and dependable networked systems.
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.
Special Track on "Data-Centric Models and Approaches"
In cyber and physical security and privacy applications, data plays an important role and presents fundamental challenges. In some domains, it is difficult to gather a large amount of data, and the data available may suffer from severe class imbalance, high noise, and numerous missing entries. In other domains, when multiple agents are involved, how the data presented to the agents impacts their decision making is under-explored. It can be challenging to incorporate data of the available form into the game-theoretic and decision-theoretic models for these domains, since many current approaches apply to precisely defined models and how to define models using the available data is unclear in many cases. In addition to the data-related challenges in cyber and physical security domains, the use of data in many domains leads to security and privacy concerns, and game-theoretic and decision-theoretic models can be designed for addressing such concerns. This special track invites submissions on various data-centric models and approaches, including work on empirical game theory; adversarial machine learning; data collection through crowdsourcing; synthetic data generation; applications of machine learning methods; novel techniques for handling real-world data and evaluating models using data.
To be announced.
To be announced.