Survey on multi-access edge computing security and privacy

P Ranaweera, AD Jurcut… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The European Telecommunications Standards Institute (ETSI) has introduced the paradigm
of Multi-Access Edge Computing (MEC) to enable efficient and fast data processing in …

A survey of electromagnetic side-channel attacks and discussion on their case-progressing potential for digital forensics

A Sayakkara, NA Le-Khac, M Scanlon - Digital Investigation, 2019 - Elsevier
The increasing prevalence of Internet of Things (IoT) devices has made it inevitable that their
pertinence to digital forensic investigations will increase into the foreseeable future. These …

SoK: Exploring the state of the art and the future potential of artificial intelligence in digital forensic investigation

X Du, C Hargreaves, J Sheppard, F Anda… - Proceedings of the 15th …, 2020 - dl.acm.org
Multi-year digital forensic backlogs have become commonplace in law enforcement
agencies throughout the globe. Digital forensic investigators are overloaded with the volume …

Anomaly detection of CAN bus messages using a deep neural network for autonomous vehicles

A Zhou, Z Li, Y Shen - Applied Sciences, 2019 - mdpi.com
The in-vehicle controller area network (CAN) bus is one of the essential components for
autonomous vehicles, and its safety will be one of the greatest challenges in the field of …

[HTML][HTML] Leveraging electromagnetic side-channel analysis for the investigation of IoT devices

A Sayakkara, NA Le-Khac, M Scanlon - Digital Investigation, 2019 - Elsevier
Abstract Internet of Things (IoT) devices have expanded the horizon of digital forensic
investigations by providing a rich set of new evidence sources. IoT devices includes health …

Malware detection in embedded systems using neural network model for electromagnetic side-channel signals

HA Khan, N Sehatbakhsh, LN Nguyen… - Journal of Hardware and …, 2019 - Springer
We propose a novel malware detection system for critical embedded and cyber-physical
systems (CPS). The system exploits electromagnetic (EM) side-channel signals from the …

Obfuscation revealed: Leveraging electromagnetic signals for obfuscated malware classification

DP Pham, D Marion, M Mastio, A Heuser - Proceedings of the 37th …, 2021 - dl.acm.org
The Internet of Things (IoT) is constituted of devices that are exponentially growing in
number and in complexity. They use numerous customized firmware and hardware, without …

Security threats to 5G networks for social robots in public spaces: a survey

SO Oruma, S Petrovic - IEEE Access, 2023 - ieeexplore.ieee.org
This paper surveys security threats to 5G-enabled wireless access networks for social robots
in public spaces (SRPS). The use of social robots (SR) in public areas requires specific …

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 …

ResNet-AE for radar signal anomaly detection

D Cheng, Y Fan, S Fang, M Wang, H Liu - Sensors, 2022 - mdpi.com
Radar signal anomaly detection is an effective method to detect potential threat targets.
Given the low Accuracy of the traditional AE model and the complex network of GAN, an …