Basel Halak – författare

This book discusses the design principles of physically unclonable functions (PUFs) and how these can be employed in hardware-based security applications, in particular, the book provides readers with a comprehensive overview of security threats and existing countermeasures.This book has many features that make it a unique source for students, engineers and educators, including more than 80 problems and worked exercises, in addition to, approximately 200 references, which give extensive direction for further reading.

This book provides comprehensive coverage of the latest research into integrated circuits’ ageing, explaining the causes of this phenomenon, describing its effects on electronic systems, and providing mitigation techniques to build ageing-resilient circuits.

This book provides comprehensive coverage of the latest research into integrated circuits’ ageing, explaining the causes of this phenomenon, describing its effects on electronic systems, and providing mitigation techniques to build ageing-resilient circuits.

This book provides comprehensive coverage of state-of-the-art integrated circuit authentication techniques, including technologies, protocols and emerging applications.The authors first discuss emerging solutions for embedding unforgeable identifies into electronics devices, using techniques such as IC fingerprinting, physically unclonable functions and voltage-over-scaling. Coverage then turns to authentications protocols, with a special focus on resource-constrained devices, first giving an overview of the limitation of existing solutions and then presenting a number of new protocols, which provide better physical security and lower energy dissipation. The third part of the book focuses on emerging security applications for authentication schemes, including securing hardware supply chains, hardware-based device attestation and GPS spoofing attack detection and survival.Provides deep insight into the security threats undermining existing integrated circuit authentication techniques;Includes an in-depth discussion of the emerging technologies used to embed unforgeable identifies into electronics systems;Offers a comprehensive summary of existing authentication protocols and their limitations;Describes state-of-the-art authentication protocols that provide better physical security and more efficient energy consumption;Includes detailed case studies on the emerging applications of IC authentication schemes.

This book provides comprehensive coverage of state-of-the-art integrated circuit authentication techniques, including technologies, protocols and emerging applications.The authors first discuss emerging solutions for embedding unforgeable identifies into electronics devices, using techniques such as IC fingerprinting, physically unclonable functions and voltage-over-scaling. Coverage then turns to authentications protocols, with a special focus on resource-constrained devices, first giving an overview of the limitation of existing solutions and then presenting a number of new protocols, which provide better physical security and lower energy dissipation. The third part of the book focuses on emerging security applications for authentication schemes, including securing hardware supply chains, hardware-based device attestation and GPS spoofing attack detection and survival.Provides deep insight into the security threats undermining existing integrated circuit authentication techniques;Includes an in-depth discussion of the emerging technologies used to embed unforgeable identifies into electronics systems;Offers a comprehensive summary of existing authentication protocols and their limitations;Describes state-of-the-art authentication protocols that provide better physical security and more efficient energy consumption;Includes detailed case studies on the emerging applications of IC authentication schemes.

This book presents a new threat modelling approach that specifically targets the hardware supply chain, covering security risks throughout the lifecycle of an electronic system.

This book presents a new threat modelling approach that specifically targets the hardware supply chain, covering security risks throughout the lifecycle of an electronic system.

This book comprehensively covers the state-of-the-art security applications of machine learning techniques. The third part provides an in-depth insight into the principles of malware analysis in embedded systems and describes how the usage of supervised learning techniques provides an effective approach to tackle software vulnerabilities.

This book comprehensively covers the state-of-the-art security applications of machine learning techniques. The third part provides an in-depth insight into the principles of malware analysis in embedded systems and describes how the usage of supervised learning techniques provides an effective approach to tackle software vulnerabilities.

This book provides a detailed overview of detection algorithms for multiple-input multiple-output (MIMO) communications systems focusing on their hardware realisation. The book begins by analysing the maximum likelihood detector, which provides the optimal bit error rate performance in an uncoded communications system. However, the maximum likelihood detector experiences a high complexity that scales exponentially with the number of antennas, which makes it impractical for real-time communications systems. The authors proceed to discuss lower-complexity detection algorithms such as zero-forcing, sphere decoding, and the K-best algorithm, with the aid of detailed algorithmic analysis and several MATLAB code examples. Furthermore, different design examples of MIMO detection algorithms and their hardware implementation results are presented and discussed. Finally, an ASIC design flow for implementing MIMO detection algorithms in hardware is provided, including the system simulation andmodelling steps and register transfer level modelling using hardware description languages.Provides an overview of MIMO detection algorithms and discusses their corresponding hardware implementations in detail;Highlights architectural considerations of MIMO detectors in achieving low power consumption and high throughput;Discusses design tradeoffs that will guide readers’ efforts when implementing MIMO algorithms in hardware;Describes a broad range of implementations of different MIMO detectors, enabling readers to make informed design decisions based on their application requirements.

This book provides a detailed overview of detection algorithms for multiple-input multiple-output (MIMO) communications systems focusing on their hardware realisation. The book begins by analysing the maximum likelihood detector, which provides the optimal bit error rate performance in an uncoded communications system. However, the maximum likelihood detector experiences a high complexity that scales exponentially with the number of antennas, which makes it impractical for real-time communications systems. The authors proceed to discuss lower-complexity detection algorithms such as zero-forcing, sphere decoding, and the K-best algorithm, with the aid of detailed algorithmic analysis and several MATLAB code examples. Furthermore, different design examples of MIMO detection algorithms and their hardware implementation results are presented and discussed. Finally, an ASIC design flow for implementing MIMO detection algorithms in hardware is provided, including the system simulation andmodelling steps and register transfer level modelling using hardware description languages.Provides an overview of MIMO detection algorithms and discusses their corresponding hardware implementations in detail;Highlights architectural considerations of MIMO detectors in achieving low power consumption and high throughput;Discusses design tradeoffs that will guide readers’ efforts when implementing MIMO algorithms in hardware;Describes a broad range of implementations of different MIMO detectors, enabling readers to make informed design decisions based on their application requirements.

This book provides comprehensive coverage of the state-of-the-art in Convolutional Neural Network (CNN) hardware accelerator design, security, and its applications in hardware security. The first part gives a foundational understanding of CNN architectures, emphasizing their computational demands and the necessity for specialized hardware solutions. It also proposes an emulation method with open-source code to mimic CNN hardware accelerator behavior. The second part presents security applications of CNN models, featuring a case study in Network-on-Chip security. It covers threat modeling, countermeasures, and the use of alternative machine learning models to CNNs. The third part explains security threats throughout the AI model production lifecycle, including software vulnerabilities and hardware risks, and explores techniques to enhance the robustness of CNN hardware accelerators, focusing on preventing hardware Trojan and backdoor attacks and analyzing the vulnerability levels of different CNN layers.

This book discusses the design principles of physically unclonable functions (PUFs) and how these can be employed in hardware-based security applications, in particular, the book provides readers with a comprehensive overview of security threats and existing countermeasures.This book has many features that make it a unique source for students, engineers and educators, including more than 80 problems and worked exercises, in addition to, approximately 200 references, which give extensive direction for further reading.