AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
Functional obfuscated architectures for the PRESENT, GIFT, and RECTANGLE crypto cores are presented to improve security against IP piracy and demonstrate relative hardware efficiency and integrated IP protection compared with existing designs.
The globalization of semiconductor manufacturing has increased vulnerabilities such as hardware Trojan insertion, overbuilding, reverse engineering, and intellectual property piracy. Logic locking has emerged as an effective countermeasure to protect integrated circuits using secret key activation. The Advanced Encrypt...
Trusted Platform Modules (TPMs) serve as hardware roots of trust in secure System on Chip (SoC) environments, supporting essential security services such as secure key exchange, digital signatures, authentication, and cryptographic key management. Public key cryptographic algorithms such as the Rivest Shamir Adleman (R...
Side-channel attacks (SCAs) exploit unintended physical leakages in digital systems, such as power consumption, electromagnetic emissions, and execution time, to extract sensitive information, including cryptographic keys. This article presents a comprehensive comparative study of several families of countermeasures, i...
Post-quantum cryptography (PQC) architectures are becoming essential for secure boot mechanisms in embedded RISC-V systems due to emerging quantum threats against RSA and ECDSA in the coming years. The paper presents a hardware-accelerated CRYSTALS-Dilithium implementation on India's indigenous Shakti C-Class processor...
Trusted Platform Modules (TPMs) serve as hardware roots of trust in secure System on Chip (SoC) environments, supporting essential security services such as secure key exchange, digital signatures, authentication, and cryptographic key management. Standalone validation of cryptographic hardware accelerators is an essen...
Strong physical unclonable functions (PUFs) are widely used for lightweight device authentication, but their challenge-response mappings are vulnerable to machine-learning modeling attacks. Existing PUFs based on double-latch cells can improve modeling resistance, yet their fixed physical paths limit entropy extraction...
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