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2020 – today
- 2024
[j6]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): 119-140 (2024)- 2022
- [c26]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. IEEE Big Data 2022: 1892-1899 - 2021
- [j5]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: 107746 (2021) - [c25]Sofiane Lagraa, Radu State:
What database do you choose for heterogeneous security log events analysis? IM 2021: 812-817 - [c24]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: 582-598 - 2020
- [c23]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: 78:1-78:10 - [c22]Ekaterina Khramtsova, Christian A. Hammerschmidt, Sofiane Lagraa, Radu State:
Federated Learning For Cyber Security: SOC Collaboration For Malicious URL Detection. ICDCS 2020: 1316-1321 - [c21]Sean Rivera, Antonio Ken Iannillo, Sofiane Lagraa, Clément Joly, Radu State:
ROS-FM: Fast Monitoring for the Robotic Operating System(ROS). ICECCS 2020: 187-196 - [c20]Sofiane Lagraa, Radu State:
Process mining-based approach for investigating malicious login events. NOMS 2020: 1-5 - [c19]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: 1-5
2010 – 2019
- 2019
- [j4]Sofiane Lagraa, Yutian Chen, Jérôme François:
Deep mining port scans from darknet. Int. J. Netw. Manag. 29(3) (2019) - [c18]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: 93-104 - [c17]Faouzi Amrouche, Sofiane Lagraa, Georgios Kaiafas, Radu State:
Graph-based malicious login events investigation. IM 2019: 63-66 - [c16]Sofiane Lagraa, Maxime Cailac, Sean Rivera, Frédéric Beck, Radu State:
Real-Time Attack Detection on Robot Cameras: A Self-Driving Car Application. IRC 2019: 102-109 - [c15]Sean Rivera, Sofiane Lagraa, Radu State:
ROSploit: Cybersecurity Tool for ROS. IRC 2019: 415-416 - [c14]Sean Rivera, Sofiane Lagraa, Antonio Ken Iannillo, Radu State:
Auto-Encoding Robot State Against Sensor Spoofing Attacks. ISSRE Workshops 2019: 252-257 - [c13]Georgios Kaiafas, Christian A. Hammerschmidt, Sofiane Lagraa, Radu State:
Auto Semi-supervised Outlier Detection for Malicious Authentication Events. PKDD/ECML Workshops (2) 2019: 176-190 - [c12]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: 114-119 - 2018
- [c11]Georgios Kaiafas, Georgios Varisteas, Sofiane Lagraa, Radu State, Cu D. Nguyen, Thorsten Ries, Mohamed Ourdane:
Detecting malicious authentication events trustfully. NOMS 2018: 1-6 - 2017
- [c10]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: 1-8 - [c9]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: 144-159 - [c8]Sofiane Lagraa, Jérôme François:
Knowledge discovery of port scans from darknet. IM 2017: 935-940 - [c7]Jérémy Charlier, Sofiane Lagraa, Radu State, Jérôme François:
Profiling Smart Contracts Interactions Tensor Decomposition and Graph Mining. MIDAS@PKDD/ECML 2017: 31-42 - 2016
- [j3]Sofiane Lagraa, Hamida Seba:
An efficient exact algorithm for triangle listing in large graphs. Data Min. Knowl. Discov. 30(5): 1350-1369 (2016) - 2015
- [i1]Hamida Seba, Sofiane Lagraa, Elsen Ronando:
Comparison Issues in Large Graphs: State of the Art and Future Directions. CoRR abs/1502.07576 (2015) - 2014
- [b1]Sofiane Lagraa:
New MP-SoC profiling tools based on data mining techniques. (Nouveaux outils de profilage de MP-SoC basés sur des techniques de fouille de données). Grenoble Alpes University, France, 2014 - [j2]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): 2993-3005 (2014) - [c6]Sofiane Lagraa, Alexandre Termier, Frédéric Pétrot:
Scalability bottlenecks discovery in MPSoC platforms using data mining on simulation traces. DATE 2014: 1-6 - 2013
- [c5]Sofiane Lagraa, Alexandre Termier, Frédéric Pétrot:
Data mining MPSoC simulation traces to identify concurrent memory access patterns. DATE 2013: 755-760 - 2012
- [j1]Hamida Seba, Sofiane Lagraa, Hamamache Kheddouci:
Alliance-based clustering scheme for group key management in mobile ad hoc networks. J. Supercomput. 61(3): 481-501 (2012) - [c4]Sofiane Lagraa, Alexandre Termier, Frédéric Pétrot:
Automatic congestion detection in MPSoC programs using data mining on simulation traces. RSP 2012: 64-70 - 2011
- [c3]Sofiane Lagraa, Hamida Seba, Hamamache Kheddouci:
Matchmaking OWL-S processes: an approach based on path signatures. MEDES 2011: 169-176 - [c2]Sofiane Lagraa, Hamida Seba, Riadh Khennoufa, Hamamache Kheddouci:
A Graph Decomposition Approach to Web Service Matchmaking. WEBIST 2011: 31-40 - [c1]Hamida Seba, Sofiane Lagraa, Hamamache Kheddouci:
Web Service Matchmaking by Subgraph Matching. WEBIST (Selected Papers) 2011: 43-56
Coauthor Index
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last updated on 2024-11-07 21:34 CET by the dblp team
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