Enhancing Steganography Through Deep Learning Approaches by Vijay Kumar
In an era defined by digital connectivity, securing sensitive information against cyber threats is a pressing concern. As digital transmission systems advance, so do the methods of intrusion and data theft. Traditional security measures often need to catch up in safeguarding against sophisticated cyber-attacks. This book presents a timely solution by integrating steganography, the ancient art of concealing information, with cutting-edge deep learning techniques. By blending these two technologies, the book offers a comprehensive approach to fortifying the security of digital communication channels. Enhancing Steganography Through Deep Learning Approaches addresses critical issues in national information security, business and personal privacy, property security, counterterrorism, and internet security. It thoroughly explores steganography's application in bolstering security across various domains. Readers will gain insights into the fusion of deep learning and steganography for advanced encryption and data protection, along with innovative steganographic techniques for securing physical and intellectual property. The book also delves into real-world examples of thwarting malicious activities using deep learning-enhanced steganography. This book is tailored for academics and researchers in Artificial Intelligence, postgraduate students seeking in-depth knowledge in AI and deep learning, smart computing practitioners, data analysis professionals, and security sector professionals. It is a valuable resource for those looking to incorporate advanced security measures into their products and services. With a focus on practical insights and real-world applications, this book is an essential guide for understanding and implementing steganography and deep learning techniques to enhance security in digital transmission systems.-
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Privacy and Security Challenges in Location Aware Computing
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Revolutionary Applications of Blockchain-Enabled Privacy and Access Control
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Handbook of Research on Advancing Cybersecurity for Digital Transformation
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Social, Legal, and Ethical Implications of IoT, Cloud, and Edge Computing Technologies
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Multidisciplinary Approaches to Ethics in the Digital Era
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Enabling Blockchain Technology for Secure Networking and Communications
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Blockchain Applications in IoT Security
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Advances in Malware and Data-Driven Network Security
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Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies
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Applications of Encryption and Watermarking for Information Security
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Global Perspectives on Cybersecurity Risk in Contemporary Business Systems
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Cross-Industry Applications of Cyber Security Frameworks
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Quantum Cryptography and the Future of Cyber Security
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Handbook of Research on Cyber Security Intelligence and Analytics
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Handbook of Research on Cyber Law, Data Protection, and Privacy
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Multidisciplinary Approach to Modern Digital Steganography
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Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity
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Establishing Cyber Security Programs Through the Community Cyber Security Maturity Model (CCSMM)
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Personal Data Protection and Legal Developments in the European Union
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Limitations and Future Applications of Quantum Cryptography
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Privacy Concerns Surrounding Personal Information Sharing on Health and Fitness Mobile Apps
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Information Security Practices for the Internet of Things, 5G, and Next-Generation Wireless Networks
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Sensor Network Methodologies for Smart Applications
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Legal Regulations, Implications, and Issues Surrounding Digital Data
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Digital Transformation and Challenges to Data Security and Privacy
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Cases on Security, Safety, and Risk Management
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Smart and Agile Cybersecurity for IoT and IIoT Environments
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Integrating Artificial Intelligence in Cybersecurity and Forensic Practices
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Reshaping CyberSecurity With Generative AI Techniques
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5G and Fiber Optics Security Technologies for Smart Grid Cyber Defense
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Analyzing Privacy and Security Difficulties in Social Media: New Challenges and Solutions
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Analyzing Privacy and Security Difficulties in Social Media
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Redefining Security With Cyber AI
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Cryptography, Biometrics, and Anonymity in Cybersecurity Management
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Signal and Image Processing Techniques for Defense, Security, and Healthcare
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Application of Large Language Models (LLMs) for Software Vulnerability Detection
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6G Security Education and Multidisciplinary Implementation
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Harnessing Quantum Cryptography for Next-Generation Security Solutions
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Modern Advancements in Surveillance Systems and Technologies
| SKU | Unavailable |
| ISBN 13 | 9798369349403 |
| Title | Enhancing Steganography Through Deep Learning Approaches |
| Author | Vijay Kumar |
| Series | Advances In Information Security Privacy And Ethics Ser |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | IGI Global |
| Year published | 2024-11-04 |
| Number of pages | 434 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |