Cybersecurity and Cognitive Science provides the reader with multiple examples of interactions between cybersecurity, psychology and neuroscience. Specifically, reviewing current research on cognitive skills of network security agents (e.g., situational awareness) as well as individual differences in cognitive measures (e.g., risk taking, impulsivity, procrastination, among others) underlying cybersecurity attacks. Chapters on detection of network attacks as well as detection of cognitive engineering attacks are also included. This book also outlines various modeling frameworks, including agent-based modeling, network modeling, as well as cognitive modeling methods to both understand and improve cybersecurity.

Outlines cognitive modeling within cybersecurity problems
Reviews the connection between intrusion detection systems and human psychology
Discusses various cognitive strategies for enhancing cybersecurity
Summarizes the cognitive skills of efficient network security agents, including the role of situational awareness

About the Author

Dr. Ahmed Moustafa is the Head of School of Psychology and Professor of Psychology and Computational Modeling at Bond University, Australia. He obtained his BSc in Mathematics and Computer Science at Cairo University, Egypt, and his PhD in Cognitive Science at the University of Lafayette, USA. Dr. Moustafa specializes in computational and neuropsychological studies of addiction, schizophrenia, Parkinson’s disease, PTSD, depression, and Alzheimer’s disease. He is the Editor-in-Chief of Discover Psychology (Springer) and has edited ten books, including Elsevier’s Cognitive, Clinical, and Neural Aspects of Drug Addiction; The Psychology and Neuroscience of Impulsivity; Cognitive and Behavioral Dysfunction in Schizophrenia; Mental Health Effects of COVID-19; Alzheimer’s Disease; Cybersecurity and Cognitive Science; Big Data in Psychiatry and Neurology; The Nature of Depression; and Social Cognition in Psychosis.

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