Cyber Influence and Cognitive Threats

Description

In the wake of fresh allegations that personal data of  Facebook users have been illegally used to influence the outcome of the US general election and the Brexit vote, the debate over manipulation of social Big Data continues to gain more momentum. Cyber Influence and Cognitive Threats addresses various emerging challenges in response to cybersecurity, examining cognitive applications in decision-making, behaviour and basic human interaction. The book examines the role of psychology in cybersecurity by addressing each factor involved in the process: hackers, targets, cybersecurity practitioners, and the wider social context in which these groups operate. Cyber Influence and Cognitive Threats covers a variety of topics including information systems, psychology, sociology, human resources, leadership, strategy, innovation, law, finance and others. Front-Matter_2020_Cyber-Influence-and-Cognitive-Threats Cyber Influence and Cognitive ThreatsEdited byVladlena BensonUniversity of West London, London, United KingdomJohn Mcalaney ... Copyright_2020_Cyber-Influence-and-Cognitive-Threats Copyright Contributors_2020_Cyber-Influence-and-Cognitive-Threats Contributors Preface_2020_Cyber-Influence-and-Cognitive-Threats Preface Chapter-1---Cybersecurity-as-a-social-ph_2020_Cyber-Influence-and-Cognitive- 1 . Cybersecurity as a social phenomenon Social influence Heuristics and biases Exploitation Conclusion References Chapter-2---Towards-an-integrated-socio-technical-appr_2020_Cyber-Influence- 2 . Towards an integrated socio-technical approach for designing adaptive privacy aware services in cloud computing Introduction: privacy as a socially constructed phenomenon Privacy risks within Cloud Computing Environments Social aspects of privacy in Cloud Computing Environments Social identity Social capital Technical aspects of privacy in Cloud Computing Environments The emergence of the adaptive privacy aware systems Towards an integrated socio-technical approach Conclusion References Chapter-3---Challenges-of-using-machine-learning-algorith_2020_Cyber-Influen 3 . Challenges of using machine learning algorithms for cybersecurity: a study of threat-classification models applied to socia ... Introduction Cybersecurity using social media as open source of information Why is social media communication important for cybersecurity? Learning-based approaches and processing techniques applied to textual communications Supervised approach Unsupervised and semisupervised approach Preprocessing social media content Noise removal Tokenization Normalization Stemming Stop words removal Vector transformation Model evaluation and metrics Use cases for learning-based model in cybersecurity problems Detection of messages regarding vulnerabilities and exploitation of software products Detection of hacker services and exploitation tools on marketplaces The influential hackers of a forum are main topics Sentiment analysis of hacker of hacker message Challenges of data-driven research in cybersecurity and ethical considerations Ethical consideration for using social media in cybersecurity research Acknowledgements References Further reading Chapter-4----Nothing-up-my-sleeve---Information-_2020_Cyber-Influence-and-Co 4 . ‘Nothing up my sleeve’: information warfare and the magical mindset Introduction: welcome to the desert of the real From bullets to bytes: war in the information age ‘Pay no attention to the man behind the curtain’ – magic, misdirection and ‘misinformation warfare' Conclusion: a hogwarts for the cyber domain? References Further reading Chapter-5---Digital-hoarding-behaviours--Implic_2020_Cyber-Influence-and-Cog 5 . Digital hoarding behaviours: implications for cybersecurity Physical hoarding Digital possessions Digital hoarding Personal information management Implications of digital hoarding Our research Implications of digital hoarding behaviours Strategies for digital decluttering Directions for future work References Chapter-6---A-review-of-security-awareness-approac_2020_Cyber-Influence-and- 6 . A review of security awareness approaches: towards achieving communal awareness Introduction Designing an effective approach to increasing security awareness Program content and delivery method Underlying theory Methodology Search process Search terms Findings and discussions Overview of theories used RQ1: What theories are applied when designing the current approaches to increasing security awareness? Program contents and delivery methods RQ2: What program contents and delivery methods are used in the designs of the approaches to increasing security awareness? Attaining communal learning RQ3: Do the theory, content and delivery method chosen promote communal learning in an organization? Limitations Conclusion and future work Acknowledgements References Chapter-7---Understanding-users--information-security-awareness_2020_Cyber-I 7 . Understanding users' information security awareness and intentions: a full nomology of protection motivation theory11The pr ... Introduction Literature review Research model and hypotheses Research methodology and pilot data analysis Expected contributions Limitations Conclusion References Chapter-8---Social-big-data-and-its-integrity--The-effe_2020_Cyber-Influence 8 . Social big data and its integrity: the effect of trust and personality traits on organic reach of facebook content Introduction Conceptual background Trust Risk propensity Personality traits Case study: Buchanan and Benson (2019) Practical implications Conclusion References Further reading Chapter-9---The-impact-of-sentiment-on-content-post-_2020_Cyber-Influence-an 9 . The impact of sentiment on content post popularity through emoji and text on social platforms Introduction Sentiment analysis using emojis Sentiment and popularity model Emoji sentiment expression Textual sentiment factor Article popularity Individual article popularity model Topic popularity model Methodological approach Data collection Sentiment analysis Popularity of individual topics and joint-topic articles Influence of emoji and textual sentiments Discussion Implications for practice Limitations References Chapter-10---Risk-and-social-influence-in-sustainable_2020_Cyber-Influence-a 10 . Risk and social influence in sustainable smart home technologies: a persuasive systems design model Introduction Theoretical background Proenvironmental behaviour research in IS Smart metering Persuasive systems design Self-disclosure Perceived risk Adaptation level theory Theoretical framework Research model and hypotheses Research methodology Instrument development and measurement of constructs Data analysis and results Assessment of measurement model Structural model and hypotheses testing Discussion Conclusion Appendix A survey References Index_2020_Cyber-Influence-and-Cognitive-Threats Index A B C D E F G H I J K L M N O P R S T U V W