ChatIDS: Explainable Cybersecurity Using Generative AI

T. S. Sobh, “Wired and wireless intrusion detection system: Classifications, good characteristics and state-of-the-art,” Computer Standards & Interfaces , vol. 28, no. 6, pp. 670–694, 2006

2006

Earlier work this paper cites.

I. Butun, S. Morgera, and R. Sankar, “A survey of intrusion detection systems in wireless sensor networks,” IEEE Communications Surveys & Tutorials , vol. PP, pp. 266 – 282, 05 2013

2013

Earlier work this paper cites.

R. Mitchell and I.-R. Chen, “A survey of intrusion detection techniques for cyber-physical systems,” ACM Computing Surveys (CSUR) , vol. 46, no. 4, pp. 1–29, 2014

2014

Earlier work this paper cites.

P. Isola, J. Zhu, T. Zhou, and A. A. Efros, “Image-to-image translation with conditional adversarial networks,” Computing Research Repository , vol. abs/1611.07004, 2016

Original

2016

Earlier work this paper cites.

N. Vakakis et al. , “Cybersecurity in smes: The smart-home/office use case,” in 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) . IEEE, 2019, pp. 1–7

2019

Earlier work this paper cites.

R. O. Andrade, I. Ortiz-Garcés, and M. Cazares, “Cybersecurity attacks on smart home during covid-19 pandemic,” in 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4) , 2020, pp. 398–404

2020

Earlier work this paper cites.

Y. Shah and S. Sengupta, “A survey on classification of cyber-attacks on iot and iiot devices,” in 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) . IEEE, 2020, pp. 0406–0413

2020

Earlier work this paper cites.

C. Haar and E. Buchmann, “Securing smart homes using intrusion detection systems,” in Proceedings of the 14th International Conference on Emerging Security Information, Systems and Technologies (SECURWARE’20) , 2020

2020

Earlier work this paper cites.

A. Lamb, “A brief introduction to generative models,” Computing Research Repository , vol. abs/2103.00265, 2021

Original

2021

Earlier work this paper cites.

C. Haar and E. Buchmann, “It-security compliance for home offices,” in Proceedings of the 15th International Conference on Emerging Security Information, Systems and Technologies (SECURWARE’21) , 2021

2021

Earlier work this paper cites.

P. Datta et al. , “A user-centric threat model and repository for cyber attacks,” in 37th ACM/SIGAPP Symposium on Applied Computing . Association for Computing Machinery, 2022, p. 1341–1346

2022

Cited alongside, same era.

Y. Zhou et al. , “Large language models are human-level prompt engineers,” Computing Research Repository , vol. abs/2211.01910, 2022

Original

2022

Cited alongside, same era.

Management Committee of the CC Recognition Arrangement, “CC:2022 Release 1,” https://www.commoncriteriaportal.org/cc/, 2022

2022

Cited alongside, same era.

Introducing ChatGPT. OpenAI. (Accessed on: 8.6.2023). [Online]. Available: https://openai.com/blog/chatgpt

2023

Cited alongside, same era.

What is Snort? Cisco. (Accessed on: 8.6.2023). [Online]. Available: https://www.snort.org/

2023

Cited alongside, same era.

Yara-rules. YaraRules Project. (Accessed on: 8.6.2023). [Online]. Available: https://github.com/Yara-Rules/rules

2023

Closest in time.

Sigma rules. SigmaHQ. (Accessed on: 8.6.2023). [Online]. Available: https://github.com/SigmaHQ/sigma/tree/master/rules

2023

Closest in time.

Wavenet. Alphabet Inc. (Accessed on: 8.6.2023). [Online]. Available: https://www.deepmind.com/research/highlighted-research/wavenet

2023

Closest in time.

GPT-3 powers the next generation of apps. OpenAI. (Accessed on: 8.6.2023). [Online]. Available: https://openai.com/blog/gpt-3-apps

2023

Closest in time.

Meet Bard. Google Ireland Limited. (Accessed on: 8.6.2023). [Online]. Available: https://bard.google.com/

2023

Closest in time.