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Large Language Models (LLMs) have revolutionised natural language processing tasks, particularly as chat agents.
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P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W.-t. Yih, T. Rocktäschel, S. Riedel, and D. Kiela, “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks,” in Advances in Neural Information Processing Systems
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S. Layeghy, M. Gallagher, and M. Portmann, “Benchmarking the Benchmark – Analysis of Synthetic NIDS Datasets,” Apr. 2021
2021
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M. Sarhan, S. Layeghy, N. Moustafa, and M. Portmann, “NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems,” in Big Data Technologies and Applications
2021
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S. Neupane, J. Ables, W. Anderson, S. Mittal, S. Rahimi, I. Banicescu, and M. Seale, “Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities,” IEEE Access
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M. Sarhan, S. Layeghy, and M. Portmann, “Towards a Standard Feature Set for Network Intrusion Detection System Datasets,” Mobile Networks and Applications
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Z. T. Sworna, Z. Mousavi, and M. A. Babar, “NLP Methods in Host-based Intrusion Detection Systems: A Systematic Review and Future Directions,” Nov. 2022 · 2022
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N. Alkhatib, M. Mushtaq, H. Ghauch, and J.-L. Danger, “CAN-BERT do it? Controller Area Network Intrusion Detection System based on BERT Language Model,” in 2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA)
2022
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Conference Name: IEEE Transactions on Information Forensics and Security
T. Zebin, S. Rezvy, and Y. Luo, “An Explainable AI-Based Intrusion Detection System for DNS Over HTTPS (DoH) Attacks,” IEEE Transactions on Information Forensics and Security · 2022
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ISSN: 2474-154X
L. D. Manocchio, S. Layeghy, and M. Portmann, “Network Intrusion Detection System in a Light Bulb,” in 2022 32nd International Telecommunication Networks and Applications Conference (ITNAC) · 2022
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A. Hekmati, N. Jethwa, E. Grippo, and B. Krishnamachari, “Correlation-Aware Neural Networks for DDoS Attack Detection In IoT Systems,” Feb. 2023 · 2023
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F. Wei, H. Li, Z. Zhao, and H. Hu, “XNIDS: Explaining Deep Learning-based Network Intrusion Detection Systems for Active Intrusion Responses,” in Proceedings of the 32nd USENIX Security Symposium
2023
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S. Layeghy and M. Portmann, “Explainable Cross-domain Evaluation of ML-based Network Intrusion Detection Systems,” Computers and Electrical Engineering
2023
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S. Layeghy, M. Baktashmotlagh, and M. Portmann, “DI-NIDS: Domain invariant network intrusion detection system,” Knowledge-Based Systems
M. A. Ferrag, M. Ndhlovu, N. Tihanyi, L. C. Cordeiro, M. Debbah, T. Lestable, and N. S. Thandi, “Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices,” Feb. 2024 · 2024
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Series Title: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
M. Guastalla, Y. Li, A. Hekmati, and B. Krishnamachari, “Application of Large Language Models to DDoS Attack Detection,” in Security and Privacy in Cyber-Physical Systems and Smart Vehicles · 2024
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S. B. Mallampati and H. Seetha, “Enhancing Intrusion Detection with Explainable AI: A Transparent Approach to Network Security,” Cybernetics and Information Technologies
2024
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ISSN: 2331-9860
T. Senevirathna, B. Siniarski, M. Liyanage, and S. Wang, “Deceiving Post-Hoc Explainable AI (XAI) Methods in Network Intrusion Detection,” in 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC) · 2024
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2023
Cited alongside, same era.
Y. Liang, C. Wu, T. Song, W. Wu, Y. Xia, Y. Liu, Y. Ou, S. Lu, L. Ji, S. Mao, Y. Wang, L. Shou, M. Gong, and N. Duan, “TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs,” Mar. 2023 · 2023
Cited alongside, same era.
2024
Cited alongside, same era.
O. G. Lira, A. Marroquin, and M. A. To, “Harnessing the Advanced Capabilities of LLM for Adaptive Intrusion Detection Systems,” in Advanced Information Networking and Applications
2024
Cited alongside, same era.
L. D. Manocchio, S. Layeghy, W. W. Lo, G. K. Kulatilleke, M. Sarhan, and M. Portmann, “FlowTransformer: A transformer framework for flow-based network intrusion detection systems,” Expert Systems with Applications
2024
Cited alongside, same era.
S. Minaee, T. Mikolov, N. Nikzad, M. Chenaghlu, R. Socher, X. Amatriain, and J. Gao, “Large Language Models: A Survey,” Feb. 2024 · 2024
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J. Hong, N. Lee, and J. Thorne, “ORPO: Monolithic Preference Optimization without Reference Model,” 2024 · 2024
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2024
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D. Donadel, F. Marchiori, L. Pajola, and M. Conti, “Can LLMs Understand Computer Networks? Towards a Virtual System Administrator,” Apr. 2024 · 2024
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