Side Channel Analysis (SCA) presents a clear threat to privacy and security in modern
computing systems. The vast majority of communications are secured through cryptographic …

Side-channel attacks exploit a physical observable originating from a cryptographic device
in order to extract its secrets. Many practically relevant advances in the field of side-channel …

Today's mobile devices contain densely packaged system-on-chips (SoCs) with multi-core,
high-frequency CPUs and complex pipelines. In parallel, sophisticated SoC-assisted …

Deep learning (DL) based profiling side channel analysis (SCA) pose a great threat to
embedded devices. An adversary can break the target encryption engine through physical …

In this paper, we focus on the portability issue in profiled side-channel attacks (SCAs) that
arises due to significant device-to-device variations. Device discrepancy is inevitable in …

Investigation on smart devices has become an essential subdomain in digital forensics. The
inherent diversity and complexity of smart devices pose a challenge to the extraction of …

Deep learning (DL)-based side-channel analysis (SCA) has posed a severe challenge to
the security and privacy of embedded devices. During its execution, an attacker exploits …

Neuromorphic systems are equipped with software-managed scratchpad to cache
intermediate results and synaptic weights of a machine learning model. PCIe (Peripheral …

Electromagnetic Side Channel Analysis (EM-SCA) is a major area of interest within the field
of cybersecurity. EM-SCA makes use of the electromagnetic radiation that naturally leaks …

6 Attacks on Ciphers-ML 7 Quantum Protocols-EC 8 Physically Unclonable Functions-EC,
ML 9 Hardware Trojans-EC, ML 10 Side-channel Analysis-ML, EC 11 Fault Injection-EC, ML …