Amer Ibrahim is an Associate Professor of Computer Science at the College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates. He holds a Ph.D. in Computer Science (Human–Computer Interaction and Artificial Intelligence) awarded by the Higher Technical School of Computer Science and Telecommunications Engineering, University of Granada, Spain. Dr. Ibrahim’s academic contributions span Human–Computer Interaction, Artificial Intelligence, machine learning, cybersecurity, and game-based learning. His research has advanced playability engineering, usability evaluation frameworks, and design methodologies for educational and serious games, as well as context-aware and pervasive learning environments. He has contributed to the development of AI-driven adaptive learning models, privacy-preserving and secure digital systems, and intelligent interaction design for educational, healthcare, and IoT-enabled environments. Dr. Ibrahim has published extensively in peer-reviewed journals and international conferences and has actively participated in international research collaborations, editorial boards, and scientific committees. His scholarly work demonstrates a sustained commitment to technically rigorous, user-centered, and secure computing systems.
Taher M. Ghazal is a Principal Research Scientist and Associate Professor specializing in Management Information Systems, Cybersecurity, and Digital Innovation. He holds a Ph.D. in Information Science and Technology with a concentration in Cybersecurity from Universiti Kebangsaan Malaysia (UKM). He also completed a Postdoctoral Fellowship in Cybersecurity at the Center for Physical Systems (C2PS), Khalifa University of Science and Technology, United Arab Emirates. Dr. Ghazal’s academic contributions span business analytics, artificial intelligence, Internet of Things (IoT), blockchain, cybersecurity, and smart digital systems, with a strong emphasis on applied and industry-driven research in MIS and information systems. He has published extensively, with over 175 peer-reviewed journal and conference publications and more than 11,000 citations, and has been recognized among the world’s top 2% scientists for multiple consecutive years. His research addresses secure and intelligent digital infrastructures, data-driven decision-making, cyber resilience, and the integration of emerging technologies into business and organizational contexts. In addition to his research output, Dr. Ghazal has led international research initiatives, chaired IEEE- and Scopus-indexed conferences, contributed to patented innovations in IoT, AI, and blockchain systems, and played key roles in academic leadership, research coordination, and quality assurance aligned with international frameworks such as AACSB, ABET, and QS rankings.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798337392110
Quantité disponible : Plus de 20 disponibles
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798337392110
Quantité disponible : Plus de 20 disponibles
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. The adoption of AI in security systems transforms the way organizations detect threats, monitor activities, and respond to cyber and physical security risks. AI-driven security technologies leverage advanced data analytics, machine learning, and automated decision-making to enhance efficiency and strengthen protection against attacks. However, the collection, processing, and analysis of personal and sensitive information raise legal and privacy concerns. Issues related to data protection, user consent, transparency, accountability, algorithmic bias, and regulatory compliance have become central to the responsible deployment of these systems. As governments and regulatory bodies govern AI and data privacy, understanding the legal and ethical implications of AI-driven security systems may help balance innovation, security, and the protection of individual rights. Legal and Privacy Considerations for AI-Driven Security Systems examines how intelligent and generative models transform cybersecurity practices. It addresses the new threats, vulnerabilities, and ethical concerns introduced by these technologies. This book covers topics such as data science, supply chains, and cybersecurity, and is a useful resource for engineers, government officials, policymakers, security professionals, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798337392110
Quantité disponible : 1 disponible(s)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. The adoption of AI in security systems transforms the way organizations detect threats, monitor activities, and respond to cyber and physical security risks. AI-driven security technologies leverage advanced data analytics, machine learning, and automated decision-making to enhance efficiency and strengthen protection against attacks. However, the collection, processing, and analysis of personal and sensitive information raise legal and privacy concerns. Issues related to data protection, user consent, transparency, accountability, algorithmic bias, and regulatory compliance have become central to the responsible deployment of these systems. As governments and regulatory bodies govern AI and data privacy, understanding the legal and ethical implications of AI-driven security systems may help balance innovation, security, and the protection of individual rights. Legal and Privacy Considerations for AI-Driven Security Systems examines how intelligent and generative models transform cybersecurity practices. It addresses the new threats, vulnerabilities, and ethical concerns introduced by these technologies. This book covers topics such as data science, supply chains, and cybersecurity, and is a useful resource for engineers, government officials, policymakers, security professionals, academicians, researchers, and scientists. 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 9798337392110
Quantité disponible : 1 disponible(s)
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Paperback. Etat : new. Paperback. The adoption of AI in security systems transforms the way organizations detect threats, monitor activities, and respond to cyber and physical security risks. AI-driven security technologies leverage advanced data analytics, machine learning, and automated decision-making to enhance efficiency and strengthen protection against attacks. However, the collection, processing, and analysis of personal and sensitive information raise legal and privacy concerns. Issues related to data protection, user consent, transparency, accountability, algorithmic bias, and regulatory compliance have become central to the responsible deployment of these systems. As governments and regulatory bodies govern AI and data privacy, understanding the legal and ethical implications of AI-driven security systems may help balance innovation, security, and the protection of individual rights. Legal and Privacy Considerations for AI-Driven Security Systems examines how intelligent and generative models transform cybersecurity practices. It addresses the new threats, vulnerabilities, and ethical concerns introduced by these technologies. This book covers topics such as data science, supply chains, and cybersecurity, and is a useful resource for engineers, government officials, policymakers, security professionals, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798337392110
Quantité disponible : 1 disponible(s)
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Legal and Privacy Considerations for AI-Driven Security Systems | Amer Ibrahim (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337392110 | 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 136369148
Quantité disponible : 5 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The adoption of AI in security systems transforms the way organizations detect threats, monitor activities, and respond to cyber and physical security risks. AI-driven security technologies leverage advanced data analytics, machine learning, and automated decision-making to enhance efficiency and strengthen protection against attacks. However, the collection, processing, and analysis of personal and sensitive information raise legal and privacy concerns. Issues related to data protection, user consent, transparency, accountability, algorithmic bias, and regulatory compliance have become central to the responsible deployment of these systems. As governments and regulatory bodies govern AI and data privacy, understanding the legal and ethical implications of AI-driven security systems may help balance innovation, security, and the protection of individual rights. Legal and Privacy Considerations for AI-Driven Security Systems examines how intelligent and generative models transform cybersecurity practices. It addresses the new threats, vulnerabilities, and ethical concerns introduced by these technologies. This book covers topics such as data science, supply chains, and cybersecurity, and is a useful resource for engineers, government officials, policymakers, security professionals, academicians, researchers, and scientists. N° de réf. du vendeur 9798337392110
Quantité disponible : 2 disponible(s)