GameSec 2020

GameSec 2020
11th Conference on Decision and Game Theory for Security
Event in series	GameSec
Dates	2020/10/28 (iCal) - 2020/10/30
Homepage:	https://www.gamesec-conf.org/
Location
Location:	Maryland, USA
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Important dates
Abstracts:	2020/06/22
Submissions:	2020/06/29
Notification:	2020/08/10
Camera ready due:	2020/09/07
Table of Contents

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.

Important Dates

• Abstract (optional): June 22nd, 2020
• Submission: June 29th, 2020
• Decision notification: August 10th, 2020
• Camera-ready: September 7th, 2020

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.

TOPICS

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:'Kursiver Text'

• 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

Organizers

General Chairs

• John S. Baras (University of Maryland)
• Radha Poovendran (University of Washington)

TPC Chair

• Quanyan Zhu (New York University)