British Journal of Social Psychology, Volume 65, Issue 3, July 2026.Abstract Research shows that spreading conspiracy theories impacts leaders' reputations; yet, it remains unclear how leaders are viewed when their theories are debunked. Across four studies (N = 1437), we explored whether conveying a conspiracy theory, regardless of its accuracy, influences followers' impressions of leader dominance, competence and ...
Shen Cao +2 more
wiley +1 more source
Harnessing advanced hybrid deep learning model for real-time detection and prevention of man-in-the-middle cyber attacks. [PDF]
Sci RepKandasamy V, Roseline AA.
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D4I - Digital forensics framework for reviewing and investigating cyber attacks. [PDF]
Array (N Y), 2020 Dimitriadis A +3 more
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International Journal of Network Security & Its Applications, 2017 Farida Chowdhury, Md Sadek Ferdous
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Building centaur responders: is emergency management ready for artificial intelligence?
Disasters, Volume 50, Issue 3, July 2026.Abstract This article examines the preparedness of emergency management (EM) for addressing questions pertaining to artificial intelligence (AI), encompassing its benefits to EM missions, the potential biases, the societal impacts, and more. We pinpoint two key shortcomings in early EM research on AI: (i) insufficient discussion of both AI's history ...
Christopher Whyte +1 more
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Motion State Estimation with Bandwidth Constraints and Mixed Cyber-Attacks for Unmanned Surface Vehicles: A Resilient Set-Membership Filtering Framework. [PDF]
Sensors (Basel)Wang Z, Lou P, Wang Y, Li J, Wang J.
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Covert Timing Channel Analysis Either as Cyber Attacks or Confidential Applications. [PDF]
Sensors (Basel), 2020 Al-Eidi S, Darwish O, Chen Y.
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On Using the Shapley Value for Anomaly Localization: A Statistical Investigation
Applied AI Letters, Volume 7, Issue 2, June 2026.ABSTRACT Recent publications have suggested using the Shapley value for anomaly localization for sensor data systems. We use a reasonable statistical model for the classifiers required to compute the Shapley value to provide repeatable and rigorous analysis in the anomaly localization application.
Rick S. Blum +2 more
wiley +1 more source
Cyber-Attacks Risk Analysis Method for Different Levels of Automation of Mining Processes in Mines Based on Fuzzy Theory Use. [PDF]
Sensors (Basel), 2020 Tubis AA +4 more
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A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
Applied AI Letters, Volume 7, Issue 2, June 2026.This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source