Results 231 to 240 of about 1,177,267 (254)

SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records

IEEE Symposium on Security and Privacy, 2022
System auditing provides a low-level view into cyber threats by monitoring system entity interactions. In response to advanced cyber-attacks, one prevalent solution is to apply data provenance analysis on audit records to search for anomalies (anomalous ...
Jun Zengy, Xiang Wang, Jiahao Liu, Yinfang Chen, Zhenkai Liang, Tat-Seng Chua, Zheng Leong Chua   +6 more
semanticscholar   +1 more source

A Hybrid Autoencoder and Gated Recurrent Unit Model Optimized by Honey Badger Algorithm for Enhanced Cyber Threat Detection in IoT Networks

Security and Privacy
The widespread adoption of Internet of Things (IoT) devices has introduced significant security challenges, with cyber threats becoming increasingly sophisticated.
Santosh Reddy Addula, M. Meesala, Pavankumar Ravipati, Guna Sekha Sajja   +3 more
semanticscholar   +1 more source

NLP-Based Techniques for Cyber Threat Intelligence

arXiv.org, 2023
In the digital era, threat actors employ sophisticated techniques for which, often, digital traces in the form of textual data are available. Cyber Threat Intelligence~(CTI) is related to all the solutions inherent to data collection, processing, and ...
Marco Arazzi, Dincy R. Arikkat, S. Nicolazzo, Antonino Nocera, A. RafidhaRehimanK., P. Vinod, Mauro Conti   +6 more
semanticscholar   +1 more source

CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence

Neural Information Processing Systems
Cyber threat intelligence (CTI) is crucial in today's cybersecurity landscape, providing essential insights to understand and mitigate the ever-evolving cyber threats.
Md Tanvirul Alam, Dipkamal Bhusal, Le Nguyen, Nidhi Rastogi   +3 more
semanticscholar   +1 more source

CTINexus: Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Models

European Symposium on Security and Privacy
Textual descriptions in cyber threat intelligence (CTI) reports, such as security articles and news, are rich sources of knowledge about cyber threats, crucial for organizations to stay informed about the rapidly evolving threat landscape.
Yutong Cheng, Osama Bajaber, Saimon Amanuel Tsegai, D. Song, Peng Gao   +4 more
semanticscholar   +1 more source

SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence

arXiv.org
To address the increasing complexity and frequency of cybersecurity incidents emphasized by the recent cybersecurity threat reports with over 10 billion instances, cyber threat intelligence (CTI) plays a critical role in the modern cybersecurity ...
Hangyuan Ji, Jian Yang, Linzheng Chai, Chaoren Wei, Liqun Yang, Yunlong Duan, Yunli Wang, Tianzhen Sun, Hongcheng Guo, Tongliang Li, Changyu Ren, Zhoujun Li   +11 more
semanticscholar   +1 more source

Generative AI for Cyber Threat Simulation and Defense

International Conference on Control, Mechatronics and Automation
Generative AI enhances cybersecurity by simulating various cyber threats and strengthening possible defense mechanisms. The paper proposes using generative adversarial networks and variational auto-encoders for cyber threat simulation and defense.
Rahul Vadisetty, Anand Polamarasetti
semanticscholar   +1 more source

The Use of Large Language Models (LLM) for Cyber Threat Intelligence (CTI) in Cybercrime Forums

arXiv.org
Large language models (LLMs) can be used to analyze cyber threat intelligence (CTI) data from cybercrime forums, which contain extensive information and key discussions about emerging cyber threats.
Vanessa Clairoux-Trepanier, Isa-May Beauchamp, Estelle Ruellan, Masarah Paquet-Clouston, Serge-Olivier Paquette, Eric Clay   +5 more
semanticscholar   +1 more source

A heterogeneous graph-based approach for cyber threat attribution using threat intelligence

International Conference on Machine Learning and Computing
Cyber Threat attribution is the process of associating a cyberattack with the threat groups. This process is essential for enhancing defense strategies and enabling rapid response to threats, making threat attribution a critical component of an effective
Junting Duan, Yujie Luo,, Zhicheng Zhang, Jianjian Peng   +3 more
semanticscholar   +1 more source

The AI-Based Cyber Threat Landscape

ACM Computing Surveys, 2021
Nektaria Kaloudi, Jingyue Li
exaly