Deep reinforcement learning for cyber security
The scale of Internet-connected systems has increased considerably, and these systems are
being exposed to cyberattacks more than ever. The complexity and dynamics of …
being exposed to cyberattacks more than ever. The complexity and dynamics of …
A survey of moving target defenses for network security
Network defenses based on traditional tools, techniques, and procedures (TTP) fail to
account for the attacker's inherent advantage present due to the static nature of network …
account for the attacker's inherent advantage present due to the static nature of network …
Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management
This paper presents a vision for a Disaster City Digital Twin paradigm that can:(i) enable
interdisciplinary convergence in the field of crisis informatics and information and …
interdisciplinary convergence in the field of crisis informatics and information and …
Harnessing artificial intelligence capabilities to improve cybersecurity
Cybersecurity is a fast-evolving discipline that is always in the news over the last decade, as
the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of …
the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of …
Jamming attacks on remote state estimation in cyber-physical systems: A game-theoretic approach
We consider security issues in remote state estimation of Cyber-Physical Systems (CPS). A
sensor node communicates with a remote estimator through a wireless channel which may …
sensor node communicates with a remote estimator through a wireless channel which may …
A multistage game in smart grid security: A reinforcement learning solution
Existing smart grid security research investigates different attack techniques and cascading
failures from the attackers' viewpoints, while the defenders' or the operators' protection …
failures from the attackers' viewpoints, while the defenders' or the operators' protection …
Networks and economic fragility
Many firms, banks, or other economic agents embedded in a network of codependencies
may experience a contemporaneous, sharp drop in functionality or productivity following a …
may experience a contemporaneous, sharp drop in functionality or productivity following a …
Decision making in multiagent systems: A survey
Intelligent transport systems, efficient electric grids, and sensor networks for data collection
and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …
and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …
Evaluating reputation management schemes of internet of vehicles based on evolutionary game theory
Conducting reputation management is very important for Internet of vehicles. However, most
of the existing work evaluate the effectiveness of their schemes with settled attacking …
of the existing work evaluate the effectiveness of their schemes with settled attacking …
Data privacy preservation and security in smart metering systems
Smart meters (SMs) can play a key role in monitoring vital aspects of different applications
such as smart grids (SG), alternative currents (AC) optimal power flows, adversarial training …
such as smart grids (SG), alternative currents (AC) optimal power flows, adversarial training …