Cybersecurity and Cognitive Science

Herausgegeben:Moustafa, Ahmed

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Academic Press / Elsevier Science & Technology
• Artikelnr. des Verlages: C2020-0-03849-1
• Seitenzahl: 400
• Erscheinungstermin: 31. Mai 2022
• Englisch
• Abmessung: 151mm x 227mm x 26mm
• Gewicht: 649g
• ISBN-13: 9780323905701
• ISBN-10: 0323905706
• Artikelnr.: 62892993

Autorenporträt

Dr. Ahmed Moustafa is a Professor of Psychology and Computational Modeling at School of Psychology, Bond University, Gold Coast, Queensland, Australia. Prior to moving to Bond University, Ahmed was an associate professor in Psychology and Neuroscience at Marcs Institute for Brain, Behavior, and Development & School of Psychology, Western Sydney University. Ahmed is trained in computer science, psychology, neuroscience, and cognitive science. His early training took place at Cairo University in mathematics and computer science. Before joining Western Sydney University as a lab director, Ahmed spent 11 years in America working on several psychology and neuroscience projects. Ahmed conducts research on computational and neuropsychological studies of addiction, schizophrenia, Parkinson's disease, PTSD, depression, Alzheimer's disease. He has published over 240 papers in high-ranking journals including Science, PNAS, Journal of Neuroscience, Brain, Neuroscience and Biobehavioral Review

s, Nature (Parkinson's disease), Neuron, among others. Ahmed has obtained grant funding from Australia, USA, Qatar, UAE, Turkey, and other countries. Ahmed has recently published ten books: (1) Computational models of brain and behavior; (2) Social Cognition in Psychosis, (3) computational Neuroscience Models of the Basal Ganglia, (4) Cognitive, Clinical, and Neural Aspects of Drug Addiction; (5) The Nature of Depression: An updated review; (6) Big data in psychiatry and neurology; (7) Alzheimer's Disease: Understanding Biomarkers, Big Data, and Therapy. Elsevier; (8) Cognitive and Behavioral Dysfunction in Schizophrenia; (9) Female Pioneers from Ancient Egypt and the Middle East; and (10) Mental health effects of COVID-19. In the last 10 years, Ahmed has published collaboratively with 71 colleagues, has more than 510 co-authors, from 35 institutions in 14 countries. Ahmed is now Editor-in-Chief of Discover Psychology, a new journal by Springer Nature.

Inhaltsangabe

Part I: Social Engineering, Security, and Cyber Attacks 1. Social Engineering Attacks and Defenses in the Physical World vs. Cyberspace: A Contrast Study 2. A Dual Integrated Dynamic Intrusion Detection System (DID-IDS) for Protection Against Network and Social Engineering Attacks 3. Working from Home Users at Risk of the COVID-19 Ransomware Attacks 4. Individual Differences in Cyber Security Behavior Using Personality Based Models to Predict Susceptibility to Sextortion Attacks 5. The Development of a Logic for Capturing Mismorphisms: Deconstructing Security and Privacy Issues

Part II: Behavioral Studies of Cybersecurity 6. Are you Anonymous? Social Psychological Processes of Hacking Groups 7. On the Relation Between Hacking and Autism or Autistic Traits: A Systematic Review of the Scientific Evidence 8. An Introduction to Cyberbullying 9. The Impact of Cyberbullying Across the Lifespan 10. Cyber Situational Awareness Issues and Challenges 11. Development and Application of the Information Security Core Human Error Causes (IS-CHEC) Technique

Part III: Machine Learning and Modeling Applications to Cybersecurity 12. Machine Learning for the Security of Healthcare Systems Based on Internet of Things and Edge Computing? 13. Lying Trolls: Detecting Deception and Text-Based Disinformation Using Machine Learning 14. Modeling the Effects of Network Size in a Deception Game Involving Honeypots 15. Computational Modeling of Decisions in Cyber-Security Games in the Presence or Absence of Interdependence Information