Goyal nikhil kumar (40 résultats)

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

Etat : New.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

Etat : New.

Hardback. Etat : New.

Hardback. Etat : New.

Etat : New.

Hardback. Etat : New.

Hardback. Etat : New.

Taschenbuch. Etat : Neu. Neuware - The evolution of digital technologies transforms online crime, with the dark web emerging as a complex, concealed environment for illicit activity. As AI reshapes criminal tactics and law enforcement capabilities, policing and investigation in these networks face challenges and opportunities. Advanced AI-driven tools enable more efficient data analysis, pattern recognition, and threat detection, but raise concerns around privacy, ethics, and legal boundaries. Navigating this area requires a balance between technological innovation and investigative frameworks to effectively combat cybercrime in the modern era. Policing and Investigating the Dark Web in the Age of AI explores the challenges and methodologies involved in policing, forensics, and security within the dark web. It examines how the integration of AI technologies can enhance threat detection, evidence collection, and predictive analysis. This book covers topics such as criminal science and forensics, artificial intelligence, and ethics and law, and is a useful resource for computer engineers, security professionals, academicians, researchers, and scientists.…

Buch. Etat : Neu. Neuware - The evolution of digital technologies transforms online crime, with the dark web emerging as a complex, concealed environment for illicit activity. As AI reshapes criminal tactics and law enforcement capabilities, policing and investigation in these networks face challenges and opportunities. Advanced AI-driven tools enable more efficient data analysis, pattern recognition, and threat detection, but raise concerns around privacy, ethics, and legal boundaries. Navigating this area requires a balance between technological innovation and investigative frameworks to effectively combat cybercrime in the modern era. Policing and Investigating the Dark Web in the Age of AI explores the challenges and methodologies involved in policing, forensics, and security within the dark web. It examines how the integration of AI technologies can enhance threat detection, evidence collection, and predictive analysis. This book covers topics such as criminal science and forensics, artificial intelligence, and ethics and law, and is a useful resource for computer engineers, security professionals, academicians, researchers, and scientists.…

Paperback. Etat : new. Paperback. The rapid advancement of artificial intelligence (AI) and digital technologies is reshaping cybercrime and digital investigations, introducing new challenges in identifying, analyzing, and interpreting digital evidence. Emerging threats demand forensic approaches that move beyond traditional, tool-centric methods. At the same time, AI and machine learning are enhancing evidence acquisition, pattern recognition, anomaly detection, and investigative decision-making. This convergence requires multidisciplinary frameworks that integrate computer science, cybersecurity, AI, law, ethics, and policy. Such approaches are essential to ensure forensic accuracy, transparency, and legal admissibility. Multidisciplinary Frameworks for Digital Forensics in the AI Era develops integrated approaches to address the evolving challenges of digital forensics in the age of AI. This book advances current research by combining AI-driven forensic techniques with established investigative, legal, and ethical principles, bridging critical gaps between theory, practice, and policy. By bringing together contributions from diverse disciplines and real-world case studies, it extends existing digital forensics research, fosters cross-disciplinary collaboration, and supports the development of robust, adaptive, and future-ready solutions for complex digital ecosystems. Covering topics such as anti-forensic masks in synthetic media, structured visual evidence reasoning, and automated cyber-attack investigation, this book is a vital academic resource for graduate and doctoral students, digital forensic analysts, law enforcement agencies, cybersecurity practitioners, policymakers, legal professionals, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. The complexity of new cyber threats and digital crimes demands more advanced technologies capable of supporting investigations and evidence analysis. Trustworthy artificial intelligence (AI) has emerged as a powerful tool in digital forensics and cybercrime investigations by enabling faster data processing, pattern recognition, and automated threat detection. Unlike conventional systems, trustworthy AI emphasizes transparency, reliability, fairness, and accountability, ensuring AI-driven forensic methods produce accurate results. As law enforcement agencies and cybersecurity professionals rely more heavily on AI technologies, maintaining trust in these systems becomes essential to protect privacy, uphold ethical standards, and strengthen the integrity of digital investigations. Understanding the role of trustworthy AI in cybercrime investigations may further address modern security challenges in the digital age. Trustworthy AI in Digital Forensics and Cybercrime Investigations explores how trustworthy AI technologies support digital forensics and cybercrime investigations through automated data analysis, threat detection, and evidence interpretation. It examines the ethical, legal, and technical challenges associated with ensuring AI systems are transparent, accurate, unbiased, and reliable. This book covers topics such as digital technology, criminology, and ethics and law, and is a useful resource for engineers, forensic scientists, academicians, researchers, and criminologists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Etat : new. Hardcover. The rapid advancement of artificial intelligence (AI) and digital technologies is reshaping cybercrime and digital investigations, introducing new challenges in identifying, analyzing, and interpreting digital evidence. Emerging threats demand forensic approaches that move beyond traditional, tool-centric methods. At the same time, AI and machine learning are enhancing evidence acquisition, pattern recognition, anomaly detection, and investigative decision-making. This convergence requires multidisciplinary frameworks that integrate computer science, cybersecurity, AI, law, ethics, and policy. Such approaches are essential to ensure forensic accuracy, transparency, and legal admissibility. Multidisciplinary Frameworks for Digital Forensics in the AI Era develops integrated approaches to address the evolving challenges of digital forensics in the age of AI. This book advances current research by combining AI-driven forensic techniques with established investigative, legal, and ethical principles, bridging critical gaps between theory, practice, and policy. By bringing together contributions from diverse disciplines and real-world case studies, it extends existing digital forensics research, fosters cross-disciplinary collaboration, and supports the development of robust, adaptive, and future-ready solutions for complex digital ecosystems. Covering topics such as anti-forensic masks in synthetic media, structured visual evidence reasoning, and automated cyber-attack investigation, this book is a vital academic resource for graduate and doctoral students, digital forensic analysts, law enforcement agencies, cybersecurity practitioners, policymakers, legal professionals, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. The rapid advancement of artificial intelligence (AI) and digital technologies is reshaping cybercrime and digital investigations, introducing new challenges in identifying, analyzing, and interpreting digital evidence. Emerging threats demand forensic approaches that move beyond traditional, tool-centric methods. At the same time, AI and machine learning are enhancing evidence acquisition, pattern recognition, anomaly detection, and investigative decision-making. This convergence requires multidisciplinary frameworks that integrate computer science, cybersecurity, AI, law, ethics, and policy. Such approaches are essential to ensure forensic accuracy, transparency, and legal admissibility. Multidisciplinary Frameworks for Digital Forensics in the AI Era develops integrated approaches to address the evolving challenges of digital forensics in the age of AI. This book advances current research by combining AI-driven forensic techniques with established investigative, legal, and ethical principles, bridging critical gaps between theory, practice, and policy. By bringing together contributions from diverse disciplines and real-world case studies, it extends existing digital forensics research, fosters cross-disciplinary collaboration, and supports the development of robust, adaptive, and future-ready solutions for complex digital ecosystems. Covering topics such as anti-forensic masks in synthetic media, structured visual evidence reasoning, and automated cyber-attack investigation, this book is a vital academic resource for graduate and doctoral students, digital forensic analysts, law enforcement agencies, cybersecurity practitioners, policymakers, legal professionals, 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.…

Hardcover. Etat : new. Hardcover. The complexity of new cyber threats and digital crimes demands more advanced technologies capable of supporting investigations and evidence analysis. Trustworthy artificial intelligence (AI) has emerged as a powerful tool in digital forensics and cybercrime investigations by enabling faster data processing, pattern recognition, and automated threat detection. Unlike conventional systems, trustworthy AI emphasizes transparency, reliability, fairness, and accountability, ensuring AI-driven forensic methods produce accurate results. As law enforcement agencies and cybersecurity professionals rely more heavily on AI technologies, maintaining trust in these systems becomes essential to protect privacy, uphold ethical standards, and strengthen the integrity of digital investigations. Understanding the role of trustworthy AI in cybercrime investigations may further address modern security challenges in the digital age. Trustworthy AI in Digital Forensics and Cybercrime Investigations explores how trustworthy AI technologies support digital forensics and cybercrime investigations through automated data analysis, threat detection, and evidence interpretation. It examines the ethical, legal, and technical challenges associated with ensuring AI systems are transparent, accurate, unbiased, and reliable. This book covers topics such as digital technology, criminology, and ethics and law, and is a useful resource for engineers, forensic scientists, academicians, researchers, and criminologists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. The complexity of new cyber threats and digital crimes demands more advanced technologies capable of supporting investigations and evidence analysis. Trustworthy artificial intelligence (AI) has emerged as a powerful tool in digital forensics and cybercrime investigations by enabling faster data processing, pattern recognition, and automated threat detection. Unlike conventional systems, trustworthy AI emphasizes transparency, reliability, fairness, and accountability, ensuring AI-driven forensic methods produce accurate results. As law enforcement agencies and cybersecurity professionals rely more heavily on AI technologies, maintaining trust in these systems becomes essential to protect privacy, uphold ethical standards, and strengthen the integrity of digital investigations. Understanding the role of trustworthy AI in cybercrime investigations may further address modern security challenges in the digital age. Trustworthy AI in Digital Forensics and Cybercrime Investigations explores how trustworthy AI technologies support digital forensics and cybercrime investigations through automated data analysis, threat detection, and evidence interpretation. It examines the ethical, legal, and technical challenges associated with ensuring AI systems are transparent, accurate, unbiased, and reliable. This book covers topics such as digital technology, criminology, and ethics and law, and is a useful resource for engineers, forensic scientists, academicians, researchers, and criminologists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Etat : new. Hardcover. The rapid advancement of artificial intelligence (AI) and digital technologies is reshaping cybercrime and digital investigations, introducing new challenges in identifying, analyzing, and interpreting digital evidence. Emerging threats demand forensic approaches that move beyond traditional, tool-centric methods. At the same time, AI and machine learning are enhancing evidence acquisition, pattern recognition, anomaly detection, and investigative decision-making. This convergence requires multidisciplinary frameworks that integrate computer science, cybersecurity, AI, law, ethics, and policy. Such approaches are essential to ensure forensic accuracy, transparency, and legal admissibility. Multidisciplinary Frameworks for Digital Forensics in the AI Era develops integrated approaches to address the evolving challenges of digital forensics in the age of AI. This book advances current research by combining AI-driven forensic techniques with established investigative, legal, and ethical principles, bridging critical gaps between theory, practice, and policy. By bringing together contributions from diverse disciplines and real-world case studies, it extends existing digital forensics research, fosters cross-disciplinary collaboration, and supports the development of robust, adaptive, and future-ready solutions for complex digital ecosystems. Covering topics such as anti-forensic masks in synthetic media, structured visual evidence reasoning, and automated cyber-attack investigation, this book is a vital academic resource for graduate and doctoral students, digital forensic analysts, law enforcement agencies, cybersecurity practitioners, policymakers, legal professionals, 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.…

Hardcover. Etat : new. Hardcover. The complexity of new cyber threats and digital crimes demands more advanced technologies capable of supporting investigations and evidence analysis. Trustworthy artificial intelligence (AI) has emerged as a powerful tool in digital forensics and cybercrime investigations by enabling faster data processing, pattern recognition, and automated threat detection. Unlike conventional systems, trustworthy AI emphasizes transparency, reliability, fairness, and accountability, ensuring AI-driven forensic methods produce accurate results. As law enforcement agencies and cybersecurity professionals rely more heavily on AI technologies, maintaining trust in these systems becomes essential to protect privacy, uphold ethical standards, and strengthen the integrity of digital investigations. Understanding the role of trustworthy AI in cybercrime investigations may further address modern security challenges in the digital age. Trustworthy AI in Digital Forensics and Cybercrime Investigations explores how trustworthy AI technologies support digital forensics and cybercrime investigations through automated data analysis, threat detection, and evidence interpretation. It examines the ethical, legal, and technical challenges associated with ensuring AI systems are transparent, accurate, unbiased, and reliable. This book covers topics such as digital technology, criminology, and ethics and law, and is a useful resource for engineers, forensic scientists, academicians, researchers, and criminologists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Etat : new. Paperback. The rapid advancement of artificial intelligence (AI) and digital technologies is reshaping cybercrime and digital investigations, introducing new challenges in identifying, analyzing, and interpreting digital evidence. Emerging threats demand forensic approaches that move beyond traditional, tool-centric methods. At the same time, AI and machine learning are enhancing evidence acquisition, pattern recognition, anomaly detection, and investigative decision-making. This convergence requires multidisciplinary frameworks that integrate computer science, cybersecurity, AI, law, ethics, and policy. Such approaches are essential to ensure forensic accuracy, transparency, and legal admissibility. Multidisciplinary Frameworks for Digital Forensics in the AI Era develops integrated approaches to address the evolving challenges of digital forensics in the age of AI. This book advances current research by combining AI-driven forensic techniques with established investigative, legal, and ethical principles, bridging critical gaps between theory, practice, and policy. By bringing together contributions from diverse disciplines and real-world case studies, it extends existing digital forensics research, fosters cross-disciplinary collaboration, and supports the development of robust, adaptive, and future-ready solutions for complex digital ecosystems. Covering topics such as anti-forensic masks in synthetic media, structured visual evidence reasoning, and automated cyber-attack investigation, this book is a vital academic resource for graduate and doctoral students, digital forensic analysts, law enforcement agencies, cybersecurity practitioners, policymakers, legal professionals, and more. 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.…

Paperback. Etat : new. Paperback. The complexity of new cyber threats and digital crimes demands more advanced technologies capable of supporting investigations and evidence analysis. Trustworthy artificial intelligence (AI) has emerged as a powerful tool in digital forensics and cybercrime investigations by enabling faster data processing, pattern recognition, and automated threat detection. Unlike conventional systems, trustworthy AI emphasizes transparency, reliability, fairness, and accountability, ensuring AI-driven forensic methods produce accurate results. As law enforcement agencies and cybersecurity professionals rely more heavily on AI technologies, maintaining trust in these systems becomes essential to protect privacy, uphold ethical standards, and strengthen the integrity of digital investigations. Understanding the role of trustworthy AI in cybercrime investigations may further address modern security challenges in the digital age. Trustworthy AI in Digital Forensics and Cybercrime Investigations explores how trustworthy AI technologies support digital forensics and cybercrime investigations through automated data analysis, threat detection, and evidence interpretation. It examines the ethical, legal, and technical challenges associated with ensuring AI systems are transparent, accurate, unbiased, and reliable. This book covers topics such as digital technology, criminology, and ethics and law, and is a useful resource for engineers, forensic scientists, academicians, researchers, and criminologists. 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.…