Deep reinforcement learning for cyber security

TT Nguyen, VJ Reddi - IEEE Transactions on Neural Networks …, 2021 - ieeexplore.ieee.org
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 …

A survey of moving target defenses for network security

S Sengupta, A Chowdhary, A Sabur… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
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 …

Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management

C Fan, C Zhang, A Yahja, A Mostafavi - International journal of information …, 2021 - Elsevier
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 …

Harnessing artificial intelligence capabilities to improve cybersecurity

S Zeadally, E Adi, Z Baig, IA Khan - Ieee Access, 2020 - ieeexplore.ieee.org
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 …

Jamming attacks on remote state estimation in cyber-physical systems: A game-theoretic approach

Y Li, L Shi, P Cheng, J Chen… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
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 …

A multistage game in smart grid security: A reinforcement learning solution

Z Ni, S Paul - IEEE transactions on neural networks and …, 2019 - ieeexplore.ieee.org
Existing smart grid security research investigates different attack techniques and cascading
failures from the attackers' viewpoints, while the defenders' or the operators' protection …

Networks and economic fragility

M Elliott, B Golub - Annual Review of Economics, 2022 - annualreviews.org
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 …

Decision making in multiagent systems: A survey

Y Rizk, M Awad, EW Tunstel - IEEE Transactions on Cognitive …, 2018 - ieeexplore.ieee.org
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 …

Evaluating reputation management schemes of internet of vehicles based on evolutionary game theory

Z Tian, X Gao, S Su, J Qiu, X Du… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

Data privacy preservation and security in smart metering systems

MS Abdalzaher, MM Fouda, MI Ibrahem - Energies, 2022 - mdpi.com
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 …