Secured Hardware Accelerators for DSP and Image Processing Applications
Written by an acknowledged expert in the field, this book focuses on approaches for designing secure hardware accelerators for digital signal processing and image processing, which are also optimised for performance and efficiency. State-of-the art security and optimization algorithms are presented, and their roles in the design of secured hardware accelerators for DSP, multimedia and image processing applications are explored.
The book begins with an introduction to the principles of secured and optimized hardware accelerators for DSP and image processing applications. The following topics are then given thorough and systematic coverage: cryptography driven IP steganography for DSP hardware accelerators; double line of defence to secure JPEG codec hardware for medical imaging systems; integrating multi-key based structural obfuscation and low-level watermarking for double line of defence of DSP hardware accelerators; multimodal hardware accelerators for image processing filters; fingerprint biometric for securing hardware accelerators; key-triggered hash-chaining based encoded hardware steganography for Securing DSP hardware accelerators; designing N-point DFT hardware accelerator using obfuscation and steganography; and structural transformation and obfuscation frameworks for data-intensive IPs.
Intended primarily for researchers and practicing engineers, the book will also be of interest to graduate students with a particular interest in hardware device security.
About the Author
Anirban Sengupta is an associate professor in computer science and engineering at Indian Institute of Technology (I.I.T) Indore, India, where he directs the research lab on CAD for Consumer Electronics Hardware Device Security & Reliability. He has written over 235 publications. He is a distinguished lecturer and distinguished visitor of multiple IEEE Societies, an elected fellow of the British Computer Society and a fellow of the IET.