Bøger af Prabhat Mishra

This book provides a comprehensive overview of security vulnerabilities and state-of-the-art countermeasures using explainable artificial intelligence (AI). Specifically, it describes how explainable AI can be effectively used for detection and mitigation of hardware vulnerabilities (e.g., hardware Trojans) as well as software attacks (e.g., malware and ransomware). It provides insights into the security threats towards machine learning models and presents effective countermeasures. It also explores hardware acceleration of explainable AI algorithms. The reader will be able to comprehend a complete picture of cybersecurity challenges and how to detect them using explainable AI. This book serves as a single source of reference for students, researchers, engineers, and practitioners for designing secure and trustworthy systems.

This eBook shall be particularly helpful to the students of economics who wish to remember & revise the micro economics concepts. The book is written to assist aspirants during examinations as important concepts are bundled in few pages there by reducing the stress of going through many pages to understand relevant concepts.

The authors discuss a wide variety of state-of-the-art security verification and validation approaches such as formal methods and side-channel analysis, as well as simulation-based security and trust validation approaches.

However, what is often not highlighted is the fact that in spite of the tremendous time and effort put into such efforts at the RTL and lower levels of abstraction, the complexity of contemporary embedded systems makes it difficult to guarantee functional correctness at the system level under all possible operational scenarios.

This book covers state-of-the art techniques for high-level modeling and validation of complex hardware/software systems, including those with multicore architectures. It helps reader avoid time-consuming and error-prone validation methodologies.

This book describes the challenges in performing dynamic reconfigurations in real-time systems. It shows how to design efficient support architectures-including dynamic cache reconfiguration, hardware/software partitioning and task mapping and scheduling.