Cybersecurity and Cognitive Science

https://audiopronews.com/headlines/37qk7iuu Cover image Title page Table of Contents Copyright Contributors Part I: Social engineering, security, and cyber attacks Chapter 1: Social engineering attacks and defenses in the physical world vs. cyberspace_ A contrast study Abstract Acknowledgments 1: Introduction 2: Terminology and methodology 3: Characterizing social engineering attack model, techniques, and defenses in the physical world 4: Characterizing social engineering attack model, techniques, and defenses in cyberspace 5: Contrast analysis 6: Conclusions References Chapter 2: A dual integrated dynamic intrusion detection system (DID-IDS) for protection against network and social engineering attacks Abstract 1: Introduction 2: Detection of information system and social engineering intrusion attacks 3: Prior computer system intrusion detection systems 4: Prior social engineering intrusion detection methods 5: A new dual integrated dynamic intrusion detection system (DID-IDS) References Chapter 3: Working from home users at risk of COVID-19 ransomware attacks Abstract 1: Introduction 2: Overview of ransomware 3: Challenges and issues with ransomware 4: Ransomware attack vectors 5: Existing defense mechanism and control gaps 6: Mitigation model against ransomware 7: Regular and consistent data backup 8: Conclusion References Chapter 4: Individual differences in cyber security behavior using personality-based models to predict susceptibility to sextortion attacks Abstract 1: Introduction 2: Social engineering and cyber sextortion 3: Personality-based models 4: Current study 5: Method 6: Results 7: Discussion 8: Conclusion References Chapter 5: Deconstructing security and privacy issues: The development of a logic for capturing mismorphisms Abstract 1: Introduction 2: A brief background on semiotics 3: A semiotic model for mismorphisms 4: Beyond semiotic triads 5: A logic for mismorphisms 6: A preliminary catalog of mismorphisms 7: Future work 8: Conclusion References Part II: Behavioral studies of cybersecurity Chapter 6: Are you anonymous? Social-psychological processes of hacking groups Abstract 1: Introduction 2: Context 3: Social identity 4: Interpersonal perception 5: Group processes 6: Informed decision making 7: Conclusion References Chapter 7: On the relation between hacking and autism or autistic traits: A systematic review of the scientific evidence Abstract 1: Introduction 2: Methods 3: Results 4: Conclusions and future directions References Further reading Chapter 8: An introduction to cyberbullying Abstract 1: A brief overview of traditional bullying 2: The emergence of digital technologies and cyberbullying 3: Definitional issues of cyberbullying 4: Unique features of cyberbullying 5: The different forms of cyberbullying 6: The prevalence of cyberbullying 7: The impact of cyberbullying 8: Conclusion References Chapter 9: The impact of cyberbullying across the lifespan Abstract 1: Introduction 2: The impact of involvement in cyberbullying during the elementary years 3: The impact of involvement in cyberbullying during adolescence 4: The impact of involvement in cyberbullying during emerging adulthood 5: The impact of involvement in cyberbullying during adulthood 6: Challenges associated with understanding the impact of cyberbullying 7: Conclusion References Chapter 10: Cyber situational awareness issues and challenges Abstract Acknowledgments 1: Introduction 2: The technological perspective 3: The socio-cognitive perspective 4: The organizational perspective 5: Reasoning about adversarial behavior 6: Research directions 7: Conclusions Appendix A: Interview methodology References Chapter 11: Development and application of the Information Security Core Human Error Causes (IS-CHEC) technique Abstract 1: Introduction 2: IS-CHEC technique 3: General discussion 4: Conclusions and future work References Part III: Machine learning and modeling applications to cybersecurity Chapter 12: Machine learning for the security of healthcare systems based on Internet of Things and edge computing Abstract Acknowledgments 1: Big data in health care 2: Privacy-preserving machine learning 3: Securing IoMT from ML-based attacks References Chapter 13: Lying trolls: Detecting deception and text-based disinformation using machine learning Abstract 1: Introduction 2: Related work 3: Methodology 4: Results and analysis 5: Conclusion References Chapter 14: Modeling the effects of network size in a deception game involving honeypots Abstract 1: Introduction 2: Deception game 3: Experiment 4: Results 5: The IBL model 6: Discussion References Chapter 15: Computational modeling of decisions in cyber-security games in the presence or absence of interdependence information Abstract Acknowledgment 1: Introduction 2: Background 3: Experiment 4: Results 5: The IBL model 6: Execution of IBL model in the security game 7: Results 8: Discussion 9: Conclusion References Index