Enhancing HDL IP Security and Trust via Evolutionary Computing
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"Enhancing HDL IP Security and Trust via Evolutionary Computing" is a technical book written by King Paul that explores the use of evolutionary computing techniques in enhancing the security and trust of Hardware Description Language (HDL) Intellectual Property (IP).
In the book, King Paul highlights the importance of protecting HDL IP, which is becoming increasingly vulnerable to security threats due to the rapid evolution of hardware designs and the rise of sophisticated attack methods. HDL IP is critical to the development of modern electronic systems, and it is used in various applications such as automotive, aerospace, and communication systems.
The book presents a comprehensive overview of the state-of-the-art techniques used in enhancing HDL IP security and trust, including cryptography, watermarking, and obfuscation. King Paul also introduces a new approach based on evolutionary computing that utilizes genetic algorithms, particle swarm optimization, and other techniques to enhance HDL IP security and trust.
The book covers a range of topics, including HDL IP protection challenges, threat modeling, cryptographic techniques, watermarking and fingerprinting, and obfuscation techniques. It also presents a detailed case study on the design and implementation of a secure HDL IP protection system using evolutionary computing.
Throughout the book, King Paul provides practical examples and real-world scenarios to help readers understand the concepts and techniques presented. The book is written in a clear and concise language, making it accessible to a wide range of readers, including researchers, practitioners, and students.
Overall, "Enhancing HDL IP Security and Trust via Evolutionary Computing" is a valuable resource for anyone interested in the field of HDL IP security and trust. The book provides a comprehensive overview of the state-of-the-art techniques and introduces a new approach based on evolutionary computing that has the potential to enhance the security and trust of HDL IP in a cost-effective and efficient manner.
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