Defending Against Social Engineering Attacks in the Age of LLMs

A survey of emerging threats in cybersecurity

Julian Jang-Jaccard and Surya Nepal. 2014 · 2014

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Phishing, smishing & vishing: an assessment of threats against mobile devices

Ezer Osei Yeboah-Boateng and Priscilla Mateko Amanor. 2014 · 2014

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A literature survey on social engineering attacks: Phishing attack

Surbhi Gupta, Abhishek Singhal, and Akanksha Kapoor. 2016 · 2016

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Urlnet: Learning a url representation with deep learning for malicious url detection

Original

Hung Le, Quang Pham, Doyen Sahoo, and Steven CH Hoi. 2018 · 2018

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Phishing website detection using machine learning algorithms

Rishikesh Mahajan and Irfan Siddavatam. 2018 · 2018

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Data-driven cybersecurity incident prediction: A survey

Nan Sun, Jun Zhang, Paul Rimba, Shang Gao, Leo Yu Zhang, and Yang Xiang. 2018 · 2018

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Towards an automated recognition system for chat-based social engineering attacks in enterprise environments

Nikolaos Tsinganos, Georgios Sakellariou, Panagiotis Fouliras, and Ioannis Mavridis. 2018 · 2018

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Sentence-BERT: Sentence embeddings using Siamese BERT-networks

Nils Reimers and Iryna Gurevych. 2019 · 2019

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A session and dialogue-based social engineering framework

Kangfeng Zheng, Tong Wu, Xiujuan Wang, Bin Wu, and Chunhua Wu. 2019 · 2019

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Mitigating email phishing attacks using convolutional neural networks

Reem Alotaibi, Isra Al-Turaiki, and Fatimah Alakeel. 2020 · 2020

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User engagement with digital deception

Maria Glenski, Svitlana Volkova, and Srijan Kumar. 2020 · 2020

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Seader++: social engineering attack detection in online environments using machine learning

Merton Lansley, Francois Mouton, Stelios Kapetanakis, and Nikolaos Polatidis. 2020 · 2020

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Texception: a character/word-level deep learning model for phishing url detection

Farid Tajaddodianfar, Jack W Stokes, and Arun Gururajan. 2020 · 2020

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Exploring new methods for identifying false information and the intent behind it on social media: Covid-19 tweets

Lin Ai, Run Chen, Ziwei Gong, Julia Guo, Shayan Hooshmand, Zixiaofan Yang, and Julia Hirschberg. 2021 · 2021

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A comprehensive survey of ai-enabled phishing attacks detection techniques

Abdul Basit, Maham Zafar, Xuan Liu, Abdul Rehman Javed, Zunera Jalil, and Kashif Kifayat. 2021 · 2021

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Phishing email detection model using improved recurrent convolutional neural networks and multilevel vectors

M Manaswini and DR N SRINIVASU. 2021 · 2021

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Building and evaluating an annotated corpus for automated recognition of chat-based social engineering attacks

Nikolaos Tsinganos and Ioannis Mavridis. 2021 · 2021

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Social engineering in cybersecurity: Effect mechanisms, human vulnerabilities and attack methods

Zuoguang Wang, Hongsong Zhu, and Limin Sun. 2021 · 2021

Cited alongside, same era.

An interdisciplinary view of social engineering: A call to action for research

Amy Hetro Washo. 2021 · 2021

Cited alongside, same era.

Phishing url detection using machine learning methods

SK Hasane Ahammad, Sunil D Kale, Gopal D Upadhye, Sandeep Dwarkanath Pande, E Venkatesh Babu, Amol V Dhumane, and Mr Dilip Kumar Jang Bahadur. 2022 · 2022

Cited alongside, same era.

Scaling instruction-finetuned language models

Original

Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, et al. 2022 · 2022

Cited alongside, same era.

The impact of social engineer attack phases on improved security countermeasures: Social engineer involvement as mediating variable

Louay Karadsheh, Haroun Alryalat, Ja’far Alqatawna, Samer Fawaz Alhawari, and Mufleh Amin AL Jarrah. 2022 · 2022

Council post: How ai is changing social engineering forever

Stu Sjouwerman. 2023 · 2023

Later among the works it cites.

Llama 2: Open foundation and fine-tuned chat models

Original

Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023

Later among the works it cites.

Leveraging dialogue state tracking for zero-shot chat-based social engineering attack recognition

Nikolaos Tsinganos, Panagiotis Fouliras, and Ioannis Mavridis. 2023 · 2023

Later among the works it cites.

A lightweight multi-view learning approach for phishing attack detection using transformer with mixture of experts

Yanbin Wang, Wenrui Ma, Haitao Xu, Yiwei Liu, and Peng Yin. 2023 · 2023

Later among the works it cites.

Towards llm-guided causal explainability for black-box text classifiers

Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, and Huan Liu. 2024 · 2024

Closest in time.