Sec2vec: Anomaly Detection in HTTP Traffic and Malicious URLs-Reference-Cited by-同舟云学术

Sec2vec: Anomaly Detection in HTTP Traffic and Malicious URLs

Published:2023-03-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
language:
Short-container-title:

Author:

Gniewkowski Mateusz¹^ORCID,Maciejewski Henryk¹^ORCID,Surmacz Tomasz¹^ORCID,Walentynowicz Wiktor¹^ORCID

Affiliation:

1. Wroclaw University of Science and Technology, Wroclaw, Lower Silesia, Poland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3555776.3577663

Reference28 articles.

1. Enriching Word Vectors with Subword Information

2. Liyan Chang and Paula Branco . 2021. Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms. arXiv preprint arXiv:2111.13597 ( 2021 ). Liyan Chang and Paula Branco. 2021. Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms. arXiv preprint arXiv:2111.13597 (2021).

3. Saikat Das , Mohammad Ashrafuzzaman , Frederick T Sheldon , and Sajjan Shiva . 2020 . Network Intrusion Detection using Natural Language Processing and Ensemble Machine Learning . In 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 829--835 . Saikat Das, Mohammad Ashrafuzzaman, Frederick T Sheldon, and Sajjan Shiva. 2020. Network Intrusion Detection using Natural Language Processing and Ensemble Machine Learning. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 829--835.

4. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

5. Abhishek Divekar , Meet Parekh , Vaibhav Savla , Rudra Mishra , and Mahesh Shirole . 2018. Benchmarking datasets for anomaly-based network intrusion detection: KDD CUP 99 alternatives. In 2018 IEEE 3rd International Conference on Computing, Communication and Security (ICCCS) . IEEE , 1--8. Abhishek Divekar, Meet Parekh, Vaibhav Savla, Rudra Mishra, and Mahesh Shirole. 2018. Benchmarking datasets for anomaly-based network intrusion detection: KDD CUP 99 alternatives. In 2018 IEEE 3rd International Conference on Computing, Communication and Security (ICCCS). IEEE, 1--8.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PMANet: Malicious URL detection via post-trained language model guided multi-level feature attention network;Information Fusion;2025-01

2. Bad Design Smells in Benchmark NIDS Datasets;2024 IEEE 9th European Symposium on Security and Privacy (EuroS&P);2024-07-08

3. Benchmarking Large Language Models for Log Analysis, Security, and Interpretation;Journal of Network and Systems Management;2024-06-13

4. Towards an Approach for Representing Log Event in Anomaly Detection;2024 International Conference on Expert Clouds and Applications (ICOECA);2024-04-18