Research
Academic papers, new techniques, benchmarks, and theoretical findings in AI/LLM security.
Academic papers, new techniques, benchmarks, and theoretical findings in AI/LLM security.
2,033 items
Qiang Lai and Hanqiang Hua published a new block-based color image encryption method built on 3D hyperchaos in the Journal of Information Security and Applications, Volume 99, in June 2026. The source text gives no further detail on the method or its results.
Lallouche, Alioua and Boualouache published a paper in the Journal of Information Security and Applications, Volume 100, in July 2026, on proactive defense for cloud-native network slicing. The paper proposes a risk-aware intelligent moving target defense framework based on multi-agent deep reinforcement learning.
This paper, published in Computers & Security on 25 October 2022 by Ahmad Samer Wazan, David W Chadwick, Remi Venant, Eddie Billoir, Romain Laborde, Liza Ahmad and Mustafa Kaiiali, presents RootAsRole, a security module for managing administrative privileges on Linux. The source text provided contains only the publication metadata, so the research question, method and findings cannot be summarized from it.
Researchers Scott Ainslie, Atif Ahmad, Dean Thompson and Sean Maynard examine how cyber-threat intelligence is practised inside a mature financial organization, using a socio-technical case study. The source text provided contains only publication metadata (Computers & Security, available online 17 April 2026) and no findings, method details or numbers.
Wang, Zhang, Siponen and Zhang report a large-scale field experiment on whether persuasive messaging changes password-change behavior in university information systems. The source text supplied here contains only the publication metadata (date, journal and authors), so the study's method and findings cannot be described from it.
This Computers & Security article by Thomas Keller, Julia Warwas, Josef Guggemos and Verena Zengerle, published online on 2 May 2026, examines psychological drivers of employees' intention to comply with information systems security policies at work. It focuses on how professionals' motivational profiles and personality traits relate to that intention. The source text provided contains only the publication metadata, so no method or findings can be reported from it.
Researchers Ameer Al-Dujaily and Bahaa Al-Musawi measured network-level internet censorship across residential ISPs in Iraq, examining DNS and IP-based filtering. The source text provided contains only the publication metadata (available online 6 May 2026, Computers & Security), so the study's methods and findings are not described.
Varghese and Bui present a mixed-methods systematic literature review of information security risk management frameworks, published in Computers & Security. The source text provided here contains only the title, publication date and author list, so the question, method and findings cannot be described from it.
The source is a bibliographic entry for an article in Computers & Security, Volume 167, published August 2026, by Shaymaa Mamdouh Khalil, Hayretdin Bahsi and Tarmo Korõtko. It presents a microgrid case study that links industrial control system design with testing through threat modeling-driven penetration testing. The source text gives no method details or findings beyond this title and metadata.
The paper, published in Computers & Security (Volume 167, August 2026) by Yasser Alhelaly and Miyuki Ide, examines how monitoring failure relates to task-technology fit in dark-web money laundering performance. The source text provided contains only the title, publication details and authors, so the study's method and findings are not described here.
Xinfeng He and Qing Zhou published a paper in Computers & Security, Volume 168, in September 2026, on a collaborative audit scheme for IoT data integrity in fog computing. The source text provides only the title, publication date, journal volume and authors, with no abstract, method details or findings.
Nadav Voloch and Ron S. Hirschprung published a study in Computers & Security, Volume 168, in September 2026, examining the value of leaked data in online social networks. The source text provided contains only the title, publication date, journal and author details, so the question, method and findings cannot be reported from it.