On the use of artificial intelligence to deal with privacy in IoT systems: A systematic literature review
Abstract The Internet of Things (IoT) refers to a network of Internet-enabled devices that can
make different operations, like sensing, communicating, and reacting to changes arising in …
make different operations, like sensing, communicating, and reacting to changes arising in …
Cyber security and beyond: Detecting malware and concept drift in AI-based sensor data streams using statistical techniques
Abstract In the Industrial Internet of Things (IIoT), mobile devices can be used to remotely
monitor and control industrial processes, equipment, and machinery. They can also be used …
monitor and control industrial processes, equipment, and machinery. They can also be used …
A novel hybrid convolutional neural network-and gated recurrent unit-based paradigm for IoT network traffic attack detection in smart cities
BB Gupta, KT Chui, A Gaurav, V Arya, P Chaurasia - Sensors, 2023 - mdpi.com
Internet of Things (IoT) devices within smart cities, require innovative detection methods.
This paper addresses this critical challenge by introducing a deep learning-based approach …
This paper addresses this critical challenge by introducing a deep learning-based approach …
SiPGuard: run-time System-in-Package security monitoring via power noise variation
As Moore's law comes to a crawl, advanced package and integration techniques become
increasingly crucial by allowing for the combination of fabricated silicon dies, so-called …
increasingly crucial by allowing for the combination of fabricated silicon dies, so-called …
Obfuscation revealed: Leveraging electromagnetic signals for obfuscated malware classification
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 …
number and in complexity. They use numerous customized firmware and hardware, without …
HADES-IoT: A practical and effective host-based anomaly detection system for IoT devices (extended version)
Internet of Things (IoT) devices have become ubiquitous, with applications in many domains,
including industry, transportation, and healthcare; these devices also have many household …
including industry, transportation, and healthcare; these devices also have many household …
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 …
Attacks on IoT: side-channel power acquisition framework for intrusion detection
This study proposes the wider use of non-intrusive side-channel power data in cybersecurity
for intrusion detection. An in-depth analysis of side-channel IoT power behaviour is …
for intrusion detection. An in-depth analysis of side-channel IoT power behaviour is …
[HTML][HTML] Energy-based approach for attack detection in IoT devices: A survey
V Merlino, D Allegra - Internet of Things, 2024 - Elsevier
The proliferation of Internet of Things (IoT) devices has revolutionized multiple sectors,
promising significant societal benefits. With an estimated 29 billion IoT devices expected to …
promising significant societal benefits. With an estimated 29 billion IoT devices expected to …
Disassembling software instruction types through impedance side-channel analysis
Recent attacks on embedded devices emphasize the pressing need for a solution to protect
against malware and maintain software privacy. Although there are several anomaly …
against malware and maintain software privacy. Although there are several anomaly …