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SMS phishing, also known as "smishing", is a growing threat that tricks users into disclosing private information or clicking into URLs with malicious content through fraudulent mobile text messages.
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2020
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A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark et al. , “Learning transferable visual models from natural language supervision,” in International conference on machine learning . PMLR, 2021, pp. 8748–8763
2021
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R. Thoppilan, D. D. Freitas, J. Hall, N. Shazeer, A. Kulshreshtha, H.-T. Cheng, A. Jin, T. Bos, L. Baker, Y. Du, Y. Li, H. Lee, H. S. Zheng, A. Ghafouri, M. Menegali, Y. Huang, M. Krikun, D. Lepikhin, J. Qin, D. Chen, Y. Xu, Z. Chen, A. Roberts, M. Bosma, V. Zhao, Y. Zhou, C.-C. Chang, I. Krivokon, W. Rusch, M. Pickett, P. Srinivasan, L. Man, K. Meier-Hellstern, M. R. Morris, T. Doshi, R. D. Santos, T. Duke, J. Soraker, B. Zevenbergen, V. Prabhakaran, M. Diaz, B. Hutchinson, K. Olson, A. Molina, E. Hoffman-John, J. Lee, L. Aroyo, R. Rajakumar, A. Butryna, M. Lamm, V. Kuzmina, J. Fenton, A. Cohen, R. Bernstein, R. Kurzweil, B. Aguera-Arcas, C. Cui, M. Croak, E. Chi, and Q. Le, “Lamda: Language models for dialog applications,” 2022
2022
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A. K. Jain, B. B. Gupta, K. Kaur, P. Bhutani, W. Alhalabi, and A. Almomani, “A content and url analysis‐based efficient approach to detect smishing sms in intelligent systems,” Int J of Intelligent Sys , vol. 37, no. 12, pp. 11 117–11 141, 2022. [Online]. Available: https://onlinelibrary.wiley.com/doi/10.1002/int.23035
2022
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S. M. M. Hossain, J. A. Sumon, A. Sen, M. I. Alam, K. M. A. Kamal, H. Alqahtani, and I. H. Sarker, Spam Filtering of Mobile SMS Using CNN–LSTM Based Deep Learning Model , ser. Hybrid Intelligent Systems. Cham: Springer International Publishing, 2022, vol. 420, pp. 106–116. [Online]. Available: https://link.springer.com/10.1007/978-3-030-96305-7_10
2022
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T. F. Blauth, O. J. Gstrein, and A. Zwitter, “Artificial intelligence crime: An overview of malicious use and abuse of ai,” IEEE Access , vol. 10, pp. 77 110–77 122, 2022
2022
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R. Montanez Rodriguez and S. Xu, “Cyber social engineering kill chain,” in International Conference on Science of Cyber Security . Springer, 2022, pp. 487–504
2022
Cited alongside, same era.
M. L. Rahman, D. Timko, H. Wali, and A. Neupane, “Users really do respond to smishing,” in Proceedings of the Thirteenth ACM Conference on Data and Application Security and Privacy , ser. CODASPY ’23. New York, NY, USA: Association for Computing Machinery, 2023, p. 49–60. [Online]. Available: https://doi.org/10.1145/3577923.3583640
2023
Cited alongside, same era.
CGNET, “Smishing attacks sharply on the rise,” https://cgnet.com/blog/smishing-attacks-sharply-on-the-rise/, (Accessed on 26 November, 2023)
2023
Cited alongside, same era.
Google, “Introducing gemini: our largest and most capable ai model,” https://blog.google/technology/ai/google-gemini-ai/, (Accessed on 26 January, 2023)
2023
Cited alongside, same era.
2023
Later among the works it cites.
M. Gupta, C. Akiri, K. Aryal, E. Parker, and L. Praharaj, “From chatgpt to threatgpt: Impact of generative ai in cybersecurity and privacy,” IEEE Access , vol. 11, pp. 80 218–80 245, 2023
2023
Later among the works it cites.
N. Begou, J. Vinoy, A. Duda, and M. Korczynski, “Exploring the dark side of ai: Advanced phishing attack design and deployment using chatgpt,” 2023
2023
Later among the works it cites.
T. Langford and B. Payne, “Phishing faster: Implementing chatgpt into phishing campaigns,” 11 2023, pp. 174–187
2023
Later among the works it cites.
“Jailbreak chat,” https://www.jailbreakchat.com/, (Accessed on 22 December, 2023)
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OpenAI, “Gpt-4 technical report,” 2023
2023
Cited alongside, same era.
S. Mishra and D. Soni, “Dsmishsms-a system to detect smishing sms,” Neural Comput & Applic , vol. 35, no. 7, pp. 4975–4992, 2023. [Online]. Available: https://link.springer.com/10.1007/s00521-021-06305-y
2023
Cited alongside, same era.
D. Vukovic and I. Dujlovic, “Social engineering with chatgpt,” 03 2023, pp. 1–5
2023
Cited alongside, same era.
G. Deng, Y. Liu, Y. Li, K. Wang, Y. Zhang, Z. Li, H. Wang, T. Zhang, and Y. Liu, “Masterkey: Automated jailbreaking of large language model chatbots.”
Cited in the paper.
2023
Later among the works it cites.
“Chat gpt ’dan’ (and other ’jailbreaks’),” https://gist.github.com/coolaj86/6f4f7b30129b0251f61fa7baaa881516, (Accessed on 22 December, 2023)
2023
Later among the works it cites.
SlashNext, “Slashnext’s 2023 state of phishing report,” https://www.prnewswire.com/news-releases/slashnexts-2023-state-of-phishing-report-reveals-a-1-265-increase-in-phishing-emails-since-the-launch-of-chatgpt-in-november-2022–signaling-a-new-era-of-cybercrime-fueled-by-generative-ai-301971557.html, (Accessed on 21 January, 2024)
2024
Closest in time.