Utilizing Ai In Network And Mobile Security For Threat Detection And Prevention
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Utilizing Ai In Network And Mobile Security For Threat Detection And Prevention
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Author : Almaiah, Mohammed Amin
language : en
Publisher: IGI Global
Release Date : 2025-04-16
Utilizing Ai In Network And Mobile Security For Threat Detection And Prevention written by Almaiah, Mohammed Amin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Computers categories.
Artificial intelligence (AI) revolutionizes how organizations protect their digital information against cyber threats. Traditional security methods are often insufficient when faced with sophisticated attacks. AI-powered systems utilize machine learning, deep learning, and advanced analytics to detect patterns, identify anomalies, and predict potential threats in real time. By analyzing network traffic and mobile device behavior, AI can recognize and respond to malicious activity before it causes harm. This proactive approach enhances security protocols, reduces human error, and strengthens defenses against a wide range of cyberattacks, from malware to data breaches. Further research may reveal AI as an indispensable tool for securing networks and mobile environments, providing smarter, more adaptive solutions for threat detection and prevention. Utilizing AI in Network and Mobile Security for Threat Detection and Prevention explores the role of AI in enhancing cybersecurity measures. It examines AI techniques in anomaly and intrusion detection, machine learning for malware analysis and detection, predictive analytics to cybersecurity scenarios, and ethical considerations in AI. This book covers topics such as ethics and law, machine learning, and data science, and is a useful resource for computer engineers, data scientists, security professionals, academicians, and researchers.
Handbook Of Ai Driven Threat Detection And Prevention
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Author : Pankaj Bhambri
language : en
Publisher: CRC Press
Release Date : 2025-06-12
Handbook Of Ai Driven Threat Detection And Prevention written by Pankaj Bhambri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-12 with Technology & Engineering categories.
In today’s digital age, the risks to data and infrastructure have increased in both range and complexity. As a result, companies need to adopt cutting-edge artificial intelligence (AI) solutions to effectively detect and counter potential threats. This handbook fills the existing knowledge gap by bringing together a team of experts to discuss the latest advancements in security systems powered by AI. The handbook offers valuable insights on proactive strategies, threat mitigation techniques, and comprehensive tactics for safeguarding sensitive data. Handbook of AI-Driven Threat Detection and Prevention: A Holistic Approach to Security explores AI-driven threat detection and prevention, and covers a wide array of topics such as machine learning algorithms, deep learning, natural language processing, and so on. The holistic view offers a deep understanding of the subject matter as it brings together insights and contributions from experts from around the world and various disciplines including computer science, cybersecurity, data science, and ethics. This comprehensive resource provides a well-rounded perspective on the topic and includes real-world applications of AI in threat detection and prevention emphasized through case studies and practical examples that showcase how AI technologies are currently being utilized to enhance security measures. Ethical considerations in AI-driven security are highlighted, addressing important questions related to privacy, bias, and the responsible use of AI in a security context. The investigation of emerging trends and future possibilities in AI-driven security offers insights into the potential impact of technologies like quantum computing and blockchain on threat detection and prevention. This handbook serves as a valuable resource for security professionals, researchers, policymakers, and individuals interested in understanding the intersection of AI and security. It equips readers with the knowledge and expertise to navigate the complex world of AI-driven threat detection and prevention. This is accomplished by synthesizing current research, insights, and real-world experiences.
Cloud Database Security Integrating Deep Learning And Machine Learning For Threat Detection And Prevention
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Author : Rajendra Prasad Sola, Nihar Malali, Praveen Madugula
language : en
Publisher: Notion Press
Release Date : 2025-02-22
Cloud Database Security Integrating Deep Learning And Machine Learning For Threat Detection And Prevention written by Rajendra Prasad Sola, Nihar Malali, Praveen Madugula and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-22 with Computers categories.
The topic of this book is the evolving landscape of cloud database security and its role in the threat of cyberattacks by artificial intelligence (AI). It begins with the introduction of basic cloud computing concepts, points out the significant security problems, and describes data protection as important. The authors delve into deep learning (DL) and machine learning (ML) techniques for realtime threat detection, anomaly identification, and intrusion prevention. The book covers the use of AI for security mechanisms, predictive analytics, and automated threat intelligence sharing. It also discusses new developments, such as federated learning, blockchain security, and homomorphic encryption. In addition, the text deals with the risks of quantum computing, regulation compliance, and rising threats. The book is a standalone cybersecurity reference for students, professionals, and researchers based on acknowledged theoretical ideas and practical applications. Cloud security should include AI and ML to improve integrity and resilience against smart threats.
Intelligent Technologies For Healthcare Business Applications
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Author : Athina Bourdena
language : en
Publisher: Springer Nature
Release Date : 2024-08-12
Intelligent Technologies For Healthcare Business Applications written by Athina Bourdena and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-12 with Technology & Engineering categories.
This book covers a wide range of applications and scenarios of intelligent technologies for healthcare business applications. The authors adopt an interdisciplinary approach with both theoretical and practical approaches in order to be relevant to multiple audiences. This book encapsulates fundamental and cutting-edge research paradigms of intelligent healthcare environments and addresses related open-ended research issues. The authors also explore recent advances, disseminate state-of-the-art techniques, and deploy novel technologies in intelligent healthcare services and applications. The book features a broad appeal to electrical, electronic, computer, software and telecommunications engineers in the healthcare space. Covers a range of applications and scenarios of intelligent technologies for healthcare business applications Explores advances, disseminates techniques, and deploys novel technologies in intelligent healthcare services Features paradigms of intelligent healthcare environments and addresses open-ended research issues
Network Security And Data Privacy In 6g Communication
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Author : Rajendra Kumar
language : en
Publisher: CRC Press
Release Date : 2025-02-13
Network Security And Data Privacy In 6g Communication written by Rajendra Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Technology & Engineering categories.
This book proposes robust solutions for securing a network against intrusions for data privacy and safety. It includes theoretical models, commercialization of validated models, and case studies. Explains the integration of technologies such as artificial intelligence, the Internet of Things, and blockchain for network security in a 6G communication system. Highlights the challenges such as spectrum allocation and management, network architecture and heterogeneity, energy efficiency and sustainability, antenna, and radio frequency. Discuss theories like quantum-safe cryptography, zero-trust networking, and blockchain-based trust management. Covers emerging technologies including homomorphic encryption, secure multi-party computation, post-quantum cryptography, and distributed ledger technology for security and privacy in 6G communication systems. Presents light and deep secure algorithms to detect fake incidents in wireless communication. The text is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, and computer science.
Using Computational Intelligence For The Dark Web And Illicit Behavior Detection
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Author : Rawat, Romil
language : en
Publisher: IGI Global
Release Date : 2022-05-06
Using Computational Intelligence For The Dark Web And Illicit Behavior Detection written by Rawat, Romil and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-06 with Computers categories.
The Dark Web is a known hub that hosts myriad illegal activities behind the veil of anonymity for its users. For years now, law enforcement has been struggling to track these illicit activities and put them to an end. However, the depth and anonymity of the Dark Web has made these efforts difficult, and as cyber criminals have more advanced technologies available to them, the struggle appears to only have the potential to worsen. Law enforcement and government organizations also have emerging technologies on their side, however. It is essential for these organizations to stay up to date on these emerging technologies, such as computational intelligence, in order to put a stop to the illicit activities and behaviors presented in the Dark Web. Using Computational Intelligence for the Dark Web and Illicit Behavior Detection presents the emerging technologies and applications of computational intelligence for the law enforcement of the Dark Web. It features analysis into cybercrime data, examples of the application of computational intelligence in the Dark Web, and provides future opportunities for growth in this field. Covering topics such as cyber threat detection, crime prediction, and keyword extraction, this premier reference source is an essential resource for government organizations, law enforcement agencies, non-profit organizations, politicians, computer scientists, researchers, students, and academicians.
Current And Future Trends On Ai Applications
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Author : Mohammed A. Al-Sharafi
language : en
Publisher: Springer Nature
Release Date : 2025-01-21
Current And Future Trends On Ai Applications written by Mohammed A. Al-Sharafi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Computers categories.
This book offers a deep dive into cutting-edge advancements and emerging trends that are reshaping industries and society. From healthcare and cybersecurity to disaster management and energy informatics, this book brings together expert insights and real-world applications, showcasing AI’s profound impact and boundless potential. Perfect for researchers, practitioners, and students alike, this comprehensive guide not only highlights current innovations but also provides a forward-looking perspective on how AI will drive the next wave of technological breakthroughs.
Artificial Intelligence And Cyber Security In Industry 4 0
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Author : Velliangiri Sarveshwaran
language : en
Publisher: Springer Nature
Release Date : 2023-06-13
Artificial Intelligence And Cyber Security In Industry 4 0 written by Velliangiri Sarveshwaran and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-13 with Computers categories.
This book provides theoretical background and state-of-the-art findings in artificial intelligence and cybersecurity for industry 4.0 and helps in implementing AI-based cybersecurity applications. Machine learning-based security approaches are vulnerable to poison datasets which can be caused by a legitimate defender's misclassification or attackers aiming to evade detection by contaminating the training data set. There also exist gaps between the test environment and the real world. Therefore, it is critical to check the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and consider how to incorporate them into the real world by addressing the gaps appropriately. This book focuses on state-of-the-art findings from both academia and industry in big data security relevant sciences, technologies, and applications.
Machine Learning And Ai For Cybersecurity Enhancing Threat Detection And Response
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Author : SHANMUGAM MUTHU
language : en
Publisher: RK Publication
Release Date :
Machine Learning And Ai For Cybersecurity Enhancing Threat Detection And Response written by SHANMUGAM MUTHU and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Machine Learning and AI for Cybersecurity: Enhancing Threat Detection and Response explores how cutting-edge artificial intelligence and machine learning technologies are revolutionizing cybersecurity. This book provides a comprehensive overview of AI-driven threat detection, behavior-based anomaly analysis, and automated incident response systems. Covering key techniques such as deep learning, natural language processing, and reinforcement learning, it highlights real-world applications in malware detection, intrusion prevention, and phishing defense. Designed for researchers, professionals, and students, the book bridges the gap between theory and practice, offering practical insights into deploying intelligent cybersecurity solutions in an increasingly complex digital landscape.
Deep Learning Innovations For Securing Critical Infrastructures
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Author : Kumar, Rajeev
language : en
Publisher: IGI Global
Release Date : 2025-04-18
Deep Learning Innovations For Securing Critical Infrastructures written by Kumar, Rajeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Computers categories.
Deep learning innovations play a crucial role in securing critical infrastructures, offering advanced solutions to protect vital systems from sophisticated cyber threats. By leveraging neural networks and advanced algorithms, deep learning enables real-time anomaly detection, pattern recognition, and predictive threat analysis, which are essential for safeguarding critical sectors such as energy, transportation, healthcare, and finance. These technologies can identify vulnerabilities, respond to breaches, and adapt to new attacks, providing a strong defense against cyber risks. As the digital landscape becomes more interconnected, the integration of deep learning into cybersecurity strategies will enhance resilience while ensuring the safe operation of essential services. Deep Learning Innovations for Securing Critical Infrastructures explores the cutting-edge integration of neural networks and artificial intelligence (AI) in modern cybersecurity systems. It examines how AI, particularly neural network models, is revolutionizing cybersecurity by automating threat detection, analyzing complex data patterns, and implementing proactive defense mechanisms. This book covers topics such as blockchain, cloud computing, and event management, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers.