Sofiane Lagraa

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 24

Top Venues

NOMS

IRC

Pattern Recognit.

Grenoble Alpes University, France (PHD)

Education History

Grenoble Alpes University, France

PHD

Publications

Sofiane Lagraa, Martin Husák, Hamida Seba, Satyanarayana Vuppala, Radu State, Moussa Ouedraogo
A review on graph-based approaches for network security monitoring and botnet detection. Int. J. Inf. Sec. 23 (1) (2024)
Fernando Kaway Carvalho Ota, Farouk Damoun, Sofiane Lagraa, Patricia Becerra-Sánchez, Christophe Atten, Jean Hilger, Radu State
Mobile Application Behaviour Anomaly Detection based on API Calls. Big Data (2022)
Sofiane Lagraa, Radu State
What database do you choose for heterogeneous security log events analysis? IM (2021)
Fernando Kaway Carvalho Ota, Farouk Damoun, Sofiane Lagraa, Patricia Becerra-Sánchez, Christophe Atten, Jean Hilger, Radu State
Event-Driven Interest Detection for Task-Oriented Mobile Apps. MobiQuitous (2021)
Abd Errahmane Kiouche, Sofiane Lagraa, Karima Amrouche, Hamida Seba
A simple graph embedding for anomaly detection in a stream of heterogeneous labeled graphs. Pattern Recognit. 112 (2021)
Faouzi Amrouche, Sofiane Lagraa, Raphaël Frank, Radu State
Intrusion detection on robot cameras using spatio-temporal autoencoders: A self-driving car application. VTC Spring (2020)
Sean Rivera, Antonio Ken Iannillo, Sofiane Lagraa, Clément Joly, Radu State
ROS-FM: Fast Monitoring for the Robotic Operating System(ROS). ICECCS (2020)
Sean Rivera, Vijay K. Gurbani, Sofiane Lagraa, Antonio Ken Iannillo, Radu State
Leveraging eBPF to preserve user privacy for DNS, DoT, and DoH queries. ARES (2020)
Ekaterina Khramtsova, Christian A. Hammerschmidt, Sofiane Lagraa, Radu State
Federated Learning For Cyber Security: SOC Collaboration For Malicious URL Detection. ICDCS (2020)
Sofiane Lagraa, Radu State
Process mining-based approach for investigating malicious login events. NOMS (2020)
Sean Rivera, Sofiane Lagraa, Antonio Ken Iannillo, Radu State
Auto-Encoding Robot State Against Sensor Spoofing Attacks. ISSRE Workshops (2019)
Sofiane Lagraa, Maxime Cailac, Sean Rivera, Frédéric Beck, Radu State
Real-Time Attack Detection on Robot Cameras: A Self-Driving Car Application. IRC (2019)
Sofiane Lagraa, Yutian Chen, Jérôme François
Deep mining port scans from darknet. Int. J. Netw. Manag. 29 (3) (2019)
Sean Rivera, Sofiane Lagraa, Cristina Nita-Rotaru, Sheila Becker, Radu State
ROS-Defender: SDN-Based Security Policy Enforcement for Robotic Applications. IEEE Symposium on Security and Privacy Workshops (2019)
Faouzi Amrouche, Sofiane Lagraa, Georgios Kaiafas, Radu State
Graph-based malicious login events investigation. IM (2019)
Sean Rivera, Sofiane Lagraa, Radu State
ROSploit: Cybersecurity Tool for ROS. IRC (2019)
Abd Errahmane Kiouche, Karima Amrouche, Hamida Seba, Sofiane Lagraa
Une nouvelle approche pour la détection d'anomalies dans les flux de graphes hétérogènes. EGC (2019)
Georgios Kaiafas, Christian A. Hammerschmidt, Sofiane Lagraa, Radu State
Auto Semi-supervised Outlier Detection for Malicious Authentication Events. PKDD/ECML Workshops (2) (2019)
Georgios Kaiafas, Georgios Varisteas, Sofiane Lagraa, Radu State, Cu D. Nguyen, Thorsten Ries, Mohamed Ourdane
Detecting malicious authentication events trustfully. NOMS (2018)
Jérémy Charlier, Sofiane Lagraa, Radu State, Jérôme François
Profiling Smart Contracts Interactions Tensor Decomposition and Graph Mining. MIDAS@PKDD/ECML (2017)
Sofiane Lagraa, Jérôme François, Abdelkader Lahmadi, Marine Miner, Christian A. Hammerschmidt, Radu State
BotGM: Unsupervised graph mining to detect botnets in traffic flows. CSNet (2017)
Julio Navarro, Véronique Legrand, Sofiane Lagraa, Jérôme François, Abdelkader Lahmadi, Giulia De Santis, Olivier Festor, Nadira Lammari, Fayçal Hamdi, Aline Deruyver, Quentin Goux, Morgan Allard, Pierre Parrend
HuMa: A Multi-layer Framework for Threat Analysis in a Heterogeneous Log Environment. FPS (2017)
Sofiane Lagraa, Jérôme François
Knowledge discovery of port scans from darknet. IM (2017)
Sofiane Lagraa, Hamida Seba
An efficient exact algorithm for triangle listing in large graphs. Data Min. Knowl. Discov. 30 (5) (2016)
Hamida Seba, Sofiane Lagraa, Elsen Ronando
Comparison Issues in Large Graphs: State of the Art and Future Directions. CoRR (2015)
Sofiane Lagraa, Hamida Seba, Riadh Khennoufa, Abir M'Baya, Hamamache Kheddouci
A distance measure for large graphs based on prime graphs. Pattern Recognit. 47 (9) (2014)
Sofiane Lagraa, Alexandre Termier, Frédéric Pétrot
Scalability bottlenecks discovery in MPSoC platforms using data mining on simulation traces. DATE (2014)
Sofiane Lagraa, Alexandre Termier, Frédéric Pétrot
Data mining MPSoC simulation traces to identify concurrent memory access patterns. DATE (2013)
Sofiane Lagraa, Alexandre Termier, Frédéric Pétrot
Automatic congestion detection in MPSoC programs using data mining on simulation traces. RSP (2012)
Hamida Seba, Sofiane Lagraa, Hamamache Kheddouci
Alliance-based clustering scheme for group key management in mobile ad hoc networks. J. Supercomput. 61 (3) (2012)
Hamida Seba, Sofiane Lagraa, Hamamache Kheddouci
Web Service Matchmaking by Subgraph Matching. WEBIST (Selected Papers) (2011)
Sofiane Lagraa, Hamida Seba, Hamamache Kheddouci
Matchmaking OWL-S processes: an approach based on path signatures. MEDES (2011)
Sofiane Lagraa, Hamida Seba, Riadh Khennoufa, Hamamache Kheddouci
A Graph Decomposition Approach to Web Service Matchmaking. WEBIST (2011)

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Publication Activity (10 Years)

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Sofiane Lagraa