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- Centre National de la Recherche ScientifiqueFR542 papers
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23 papers · 1 filter
SoK: Systematic analysis of adversarial threats against deep learning approaches for autonomous anomaly detection systems in SDN-IoT networks
Tharindu Lakshan Yasarathna, Nhien-An Le-Khac
Integrating SDN and the IoT enhances network control and flexibility. DL-based AAD systems improve security by enabling real-time threat detection in SDN-IoT networks. However, the…
A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing
Daniel Gibert, Giulio Zizzo, Quan Le +1
Deep learning-based malware detectors have been shown to be susceptible to adversarial malware examples, i.e. malware examples that have been deliberately manipulated in order to a…
BLOFF: A Blockchain based Forensic Model in IoT
Promise Agbedanu, Anca Delia Jurcut
In this era of explosive growth in technology, the internet of things (IoT) has become the game changer when we consider technologies like smart homes and cities, smart energy, sec…
Detection and Prevention of New Attacks for ID-based Authentication Protocols
Jinyong Chen, Reiner Dojen, Anca Jurcut
The rapid development of information and network technologies motivates the emergence of various new computing paradigms, such as distributed computing, and edge computing. This al…
SoK: Exploring the State of the Art and the Future Potential of Artificial Intelligence in Digital Forensic Investigation
Xiaoyu Du, Chris Hargreaves, John Sheppard +4
Multi-year digital forensic backlogs have become commonplace in law enforcement agencies throughout the globe. Digital forensic investigators are overloaded with the volume of case…
Automated Artefact Relevancy Determination from Artefact Metadata and Associated Timeline Events
Xiaoyu Du, Quan Le, Mark Scanlon
Case-hindering, multi-year digital forensic evidence backlogs have become commonplace in law enforcement agencies throughout the world. This is due to an ever-growing number of cas…