The rise of digital fraud and identity theft poses serious risks to individuals, businesses, and governments, making advanced cybersecutiy solutions an urgent priority. Artificial intelligence (AI) offers powerful tools for real-time detection, prevention, and response to cyber threats, enhancing the accuracy and efficiency of digital security systems. Integrating AI into decision support systems (DSS) enables more informed, data-driven responses to complex security challenges while strengthening legal enforcement mechanisms. As technology evolves, addressing the ethical and regulatory dimensions of AI in cybersecurity becomes essential to ensuring privacy, accountability, and public trust in digital systems. Combatting Digital Arrest Fraud and Identity Theft With AI and Decision Support Systems provides an in-depth exploration of how DSS powered by AI can be used to address the increasing challenges of digital arrest fraud and identity theft in the context of cybersecurity. It examines the integration of AI techniques into DSS frameworks to develop solutions for real-time threat detection, fraud prevention, and legal enforcement in the digital age. Covering topics such as anti-money laundering, fraud response, and policy implications, this book is an excellent resource for cybersecurity professionals, AI researchers, DSS experts, law enforcement, legal professionals, academicians, policymakers, and more.
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Brij B. Gupta received the PhD degree from Indian Institute of Technology (IIT) Roorkee, India. In more than 19 years of his professional experience, he published over 500 papers in journals/conferences including 35 books and 10 Patents with over 30,000 citations. He has received numerous national and international awards including Canadian Commonwealth Scholarship (2009), Best Faculty Award (2018 & 2019), etc. He is also selected in the 2021 and 2020 Stanford University's ranking of the world's top 2% scientists. He is also a visiting/adjunct professor with several universities worldwide. He is also an IEEE Senior Member (2017) and also selected as 2021 Distinguished Lecturer in IEEE CTSoc. Dr Gupta is also serving as Member-in-Large, Board of Governors, IEEE Consumer Technology Society (2022-2024). At present, Prof. Gupta is working as Director, International Center for AI and Cyber Security Research and Innovations, and Professor with the Department of Computer Science and Information Engineering (CSIE), Asia University, Taiwan. His research interests include cyber security, cloud computing, artificial intelligence, blockchain technologies, social media and networking.
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Hardcover. Etat : new. Hardcover. The rise of digital fraud and identity theft poses serious risks to individuals, businesses, and governments, making advanced cybersecutiy solutions an urgent priority. Artificial intelligence (AI) offers powerful tools for real-time detection, prevention, and response to cyber threats, enhancing the accuracy and efficiency of digital security systems. Integrating AI into decision support systems (DSS) enables more informed, data-driven responses to complex security challenges while strengthening legal enforcement mechanisms. As technology evolves, addressing the ethical and regulatory dimensions of AI in cybersecurity becomes essential to ensuring privacy, accountability, and public trust in digital systems. Combatting Digital Arrest Fraud and Identity Theft With AI and Decision Support Systems provides an in-depth exploration of how DSS powered by AI can be used to address the increasing challenges of digital arrest fraud and identity theft in the context of cybersecurity. It examines the integration of AI techniques into DSS frameworks to develop solutions for real-time threat detection, fraud prevention, and legal enforcement in the digital age. Covering topics such as anti-money laundering, fraud response, and policy implications, this book is an excellent resource for cybersecurity professionals, AI researchers, DSS experts, law enforcement, legal professionals, academicians, policymakers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798337341491
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Buch. Etat : Neu. Combatting Digital Arrest Fraud and Identity Theft With AI and Decision Support Systems | Brij B. Gupta (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337341491 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134507358
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rise of digital fraud and identity theft poses serious risks to individuals, businesses, and governments, making advanced cybersecutiy solutions an urgent priority. Artificial intelligence (AI) offers powerful tools for real-time detection, prevention, and response to cyber threats, enhancing the accuracy and efficiency of digital security systems. Integrating AI into decision support systems (DSS) enables more informed, data-driven responses to complex security challenges while strengthening legal enforcement mechanisms. As technology evolves, addressing the ethical and regulatory dimensions of AI in cybersecurity becomes essential to ensuring privacy, accountability, and public trust in digital systems. Combatting Digital Arrest Fraud and Identity Theft With AI and Decision Support Systems provides an in-depth exploration of how DSS powered by AI can be used to address the increasing challenges of digital arrest fraud and identity theft in the context of cybersecurity. It examines the integration of AI techniques into DSS frameworks to develop solutions for real-time threat detection, fraud prevention, and legal enforcement in the digital age. Covering topics such as anti-money laundering, fraud response, and policy implications, this book is an excellent resource for cybersecurity professionals, AI researchers, DSS experts, law enforcement, legal professionals, academicians, policymakers, and more. N° de réf. du vendeur 9798337341491
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