Cloud Database Security Integrating Deep Learning And Machine Learning For Threat Detection And Prevention
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Cloud Database Security
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Author : Rajendra Prasad Sola
language : en
Publisher: Notion Press
Release Date : 2025-02-10
Cloud Database Security written by Rajendra Prasad Sola and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-10 with Computers categories.
The topic of this book is the evolving landscape of cloud database security and its role in the threat of cyber-attacks 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 real-time 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.
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.
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.
Cybersecurity Vigilance And Security Engineering Of Internet Of Everything
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Author : Kashif Naseer Qureshi
language : en
Publisher: Springer Nature
Release Date : 2023-11-30
Cybersecurity Vigilance And Security Engineering Of Internet Of Everything written by Kashif Naseer Qureshi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-30 with Technology & Engineering categories.
This book first discusses cyber security fundamentals then delves into security threats and vulnerabilities, security vigilance, and security engineering for Internet of Everything (IoE) networks. After an introduction, the first section covers the security threats and vulnerabilities or techniques to expose the networks to security attacks such as repudiation, tampering, spoofing, and elevation of privilege. The second section of the book covers vigilance or prevention techniques like intrusion detection systems, trust evaluation models, crypto, and hashing privacy solutions for IoE networks. This section also covers the security engineering for embedded and cyber-physical systems in IoE networks such as blockchain, artificial intelligence, and machine learning-based solutions to secure the networks. This book provides a clear overview in all relevant areas so readers gain a better understanding of IoE networks in terms of security threats, prevention, and other security mechanisms.
Cyber Security Threats And Defense Strategies
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Author : Krishna Bonagiri
language : en
Publisher: RK Publication
Release Date : 2024-06-21
Cyber Security Threats And Defense Strategies written by Krishna Bonagiri and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-21 with Computers categories.
Cyber Security: Threats and Defense Strategies modern cybersecurity challenges and the defense mechanisms essential for safeguarding digital assets.Various cyber threats, from malware and phishing to sophisticated attacks like ransomware and APTs (Advanced Persistent Threats). Alongside threat analysis, it introduces practical defense strategies, including firewalls, encryption, and network monitoring, with an emphasis on incident response, risk management, and resilience. Ideal for both beginners and professionals, this guide equips readers with critical knowledge to enhance cybersecurity in an increasingly digital world.
Sustainable Information Security In The Age Of Ai And Green Computing
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Author : Gupta, Brij B.
language : en
Publisher: IGI Global
Release Date : 2025-05-13
Sustainable Information Security In The Age Of Ai And Green Computing written by Gupta, Brij B. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Computers categories.
The convergence of artificial intelligence (AI), green computing, and information security can create sustainable, efficient, and secure IT systems. That is, the latest advancements in leveraging AI may minimize environmental impact, optimize resource usage, and bolster cybersecurity within green IT frameworks. Thus, a holistic view of AI can drive sustainable innovation in computing and information systems. This is important for raising awareness about the importance of sustainability in the tech industry and promoting the adoption of green computing practices among IT professionals and organizations. Sustainable Information Security in the Age of AI and Green Computing contributes to a deeper understanding of the synergies between AI, green computing, and information security, highlighting how these fields can work together to create more sustainable and secure systems. By presenting cutting-edge research, practical solutions, and future trends, the book inspires new ideas and developments in sustainable IT practices and technologies. Covering topics such as digital ecosystems, malware detection, and carbon emission optimization, this book is an excellent resource for IT managers, data center operators, software developers, cybersecurity experts, policymakers, corporate decision-makers, professionals, researchers, scholars, academicians, and more.
Iccws 2019 14th International Conference On Cyber Warfare And Security
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Author : Noëlle van der Waag-Cowling
language : en
Publisher: Academic Conferences and publishing limited
Release Date : 2019-02-28
Iccws 2019 14th International Conference On Cyber Warfare And Security written by Noëlle van der Waag-Cowling and has been published by Academic Conferences and publishing limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Language Arts & Disciplines categories.
Application Of Large Language Models Llms For Software Vulnerability Detection
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Author : Omar, Marwan
language : en
Publisher: IGI Global
Release Date : 2024-11-01
Application Of Large Language Models Llms For Software Vulnerability Detection written by Omar, Marwan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-01 with Computers categories.
Large Language Models (LLMs) are redefining the landscape of cybersecurity, offering innovative methods for detecting software vulnerabilities. By applying advanced AI techniques to identify and predict weaknesses in software code, including zero-day exploits and complex malware, LLMs provide a proactive approach to securing digital environments. This integration of AI and cybersecurity presents new possibilities for enhancing software security measures. Application of Large Language Models (LLMs) for Software Vulnerability Detection offers a comprehensive exploration of this groundbreaking field. These chapters are designed to bridge the gap between AI research and practical application in cybersecurity, in order to provide valuable insights for researchers, AI specialists, software developers, and industry professionals. Through real-world examples and actionable strategies, the publication will drive innovation in vulnerability detection and set new standards for leveraging AI in cybersecurity.
Data Exfiltration Threats And Prevention Techniques
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Author : Zahir Tari
language : en
Publisher: John Wiley & Sons
Release Date : 2023-06-07
Data Exfiltration Threats And Prevention Techniques written by Zahir Tari and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-07 with Computers categories.
DATA EXFILTRATION THREATS AND PREVENTION TECHNIQUES Comprehensive resource covering threat prevention techniques for data exfiltration and applying machine learning applications to aid in identification and prevention Data Exfiltration Threats and Prevention Techniques provides readers the knowledge needed to prevent and protect from malware attacks by introducing existing and recently developed methods in malware protection using AI, memory forensic, and pattern matching, presenting various data exfiltration attack vectors and advanced memory-based data leakage detection, and discussing ways in which machine learning methods have a positive impact on malware detection. Providing detailed descriptions of the recent advances in data exfiltration detection methods and technologies, the authors also discuss details of data breach countermeasures and attack scenarios to show how the reader may identify a potential cyber attack in the real world. Composed of eight chapters, this book presents a better understanding of the core issues related to the cyber-attacks as well as the recent methods that have been developed in the field. In Data Exfiltration Threats and Prevention Techniques, readers can expect to find detailed information on: Sensitive data classification, covering text pre-processing, supervised text classification, automated text clustering, and other sensitive text detection approaches Supervised machine learning technologies for intrusion detection systems, covering taxonomy and benchmarking of supervised machine learning techniques Behavior-based malware detection using API-call sequences, covering API-call extraction techniques and detecting data stealing behavior based on API-call sequences Memory-based sensitive data monitoring for real-time data exfiltration detection and advanced time delay data exfiltration attack and detection Aimed at professionals and students alike, Data Exfiltration Threats and Prevention Techniques highlights a range of machine learning methods that can be used to detect potential data theft and identifies research gaps and the potential to make change in the future as technology continues to grow.
Risk Based Approach To Secure Cloud Migration
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Author : Minakshi
language : en
Publisher: IGI Global
Release Date : 2025-04-16
Risk Based Approach To Secure Cloud Migration written by Minakshi 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.
As cloud computing continues to revolutionize industries, ensuring robust security measures is crucial to protecting sensitive data and maintaining operational integrity. The rapid expansion of cloud services introduces new vulnerabilities, making strong security frameworks essential. By implementing advanced encryption, access controls, and continuous monitoring, organizations can mitigate threats while maximizing the benefits of cloud technology. Secure cloud migration strategies and incident response planning further enhance resilience, ensuring business continuity in the face of evolving cybersecurity challenges. As reliance on cloud infrastructure grows, developing expertise in cloud security is vital for organizations and professionals striving to safeguard digital assets in an increasingly interconnected world. Risk-Based Approach to Secure Cloud Migration is a reliable source of knowledge for further exploration and experimentation in cloud security due to the extensive coverage of the latest trends and challenges in cloud security. It facilitates the dissemination of unique concepts and the development of innovative cloud security solutions. Covering topics such as load balancing, smart grid functional technology (FT) services, and multifactor authentication (MFA), this book is an excellent resource for IT professionals, cloud service providers, security professionals, researchers, professionals, scholars, academicians, and more.