DNN model architecture fingerprinting attack on CPU-GPU edge devices
Embedded systems for edge computing are getting more powerful, and some are equipped
with a GPU to enable on-device deep neural network (DNN) learning tasks such as image …
with a GPU to enable on-device deep neural network (DNN) learning tasks such as image …
Df-sca: Dynamic frequency side channel attacks are practical
DR Dipta, B Gulmezoglu - Proceedings of the 38th Annual Computer …, 2022 - dl.acm.org
The arm race between hardware security engineers and side-channel researchers has
become more competitive with more sophisticated attacks and defenses in the last decade …
become more competitive with more sophisticated attacks and defenses in the last decade …
Machine learning in wavelet domain for electromagnetic emission based malware analysis
This paper presents a signal processing and machine learning (ML) based methodology to
leverage Electromagnetic (EM) emissions from an embedded device to remotely detect a …
leverage Electromagnetic (EM) emissions from an embedded device to remotely detect a …
Electromagnetic side-channel analysis for iot forensics: Challenges, framework, and datasets
AP Sayakkara, NA Le-Khac - Ieee Access, 2021 - ieeexplore.ieee.org
Electromagnetic (EM) side-channel radiation from Internet of Things (IoT) devices are shown
to be effective at acquiring forensic insights during digital investigations. These EM radiation …
to be effective at acquiring forensic insights during digital investigations. These EM radiation …
XMD: An expansive Hardware-telemetry based Mobile Malware Detector for Endpoint Detection
Hardware-based Malware Detectors (HMDs) have shown promise in detecting malicious
workloads. However, the current HMDs focus solely on the CPU core of a System-on-Chip …
workloads. However, the current HMDs focus solely on the CPU core of a System-on-Chip …
Systematic Literature Review of EM-SCA Attacks on Encryption
Cryptography is vital for data security, but cryptographic algorithms can still be vulnerable to
side-channel attacks (SCAs), physical assaults exploiting power consumption and EM …
side-channel attacks (SCAs), physical assaults exploiting power consumption and EM …
[HTML][HTML] Identifying Internet of Things software activities using deep learning-based electromagnetic side-channel analysis
Q Le, L Miralles-Pechuán, A Sayakkara… - Forensic Science …, 2021 - Elsevier
Abstract Internet of Things (IoT) is becoming the new frontier in digital forensics due to the
abundance of IoT devices appearing in day-to-day life. The diversity and complexity of IoT …
abundance of IoT devices appearing in day-to-day life. The diversity and complexity of IoT …
Forensic insights from smartphones through electromagnetic side-channel analysis
AP Sayakkara, NA Le-Khac - Ieee Access, 2021 - ieeexplore.ieee.org
The increasing use of smartphones has increased their presence in legal and corporate
investigations. Unlike desktop and laptop computers, forensic analysis of smartphones is a …
investigations. Unlike desktop and laptop computers, forensic analysis of smartphones is a …
Securing iot devices using dynamic power management: Machine learning approach
The shift in paradigm from cloud computing toward edge has resulted in faster response
times, a more secure and energy-efficient edge. Internet-of-Things (IoT) devices form a vital …
times, a more secure and energy-efficient edge. Internet-of-Things (IoT) devices form a vital …
Profiling cpu behavior for detection of android ransomware
R Cabral, JT McDonald, LM Hively… - SoutheastCon …, 2022 - ieeexplore.ieee.org
Android devices continue to dominate the market for global smartphone users, thus making
them an ideal target for malicious software developers. In the past, side-channel attacks …
them an ideal target for malicious software developers. In the past, side-channel attacks …