Results 151 to 160 of about 80,725 (273)
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
A novel cyber threat intelligence platform for evaluating the risk associated with smart agriculture. [PDF]
Thilakarathne NN +3 more
europepmc +1 more source
Building centaur responders: is emergency management ready for artificial intelligence?
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
wiley +1 more source
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
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
ABSTRACT Context The microservices architectural style has revolutionized the way modern software systems are developed and operated. While the development of new microservices systems can leverage a wide range of resources and proven strategies, the migration of an existing monolithic system is not easily generalizable.
Jonas Fritzsch +6 more
wiley +1 more source
Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques
The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García +4 more
wiley +1 more source

