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With the rapid development of technology and the acceleration of digitalisation, the frequency and complexity of cyber security threats are increasing. Traditional cybersecurity approaches, often based on static rules and predefined…

The rise of Large Language Models (LLMs) has revolutionized our comprehension of intelligence bringing us closer to Artificial Intelligence. Since their introduction, researchers have actively explored the applications of LLMs across…

The rapid advancement of Large Language Models (LLMs) has opened up new opportunities for leveraging artificial intelligence in a variety of application domains, including cybersecurity. As the volume and sophistication of cyber threats…

密码学与安全 · 计算机科学 2025-09-23 Hanxiang Xu , Shenao Wang , Ningke Li , Kailong Wang , Yanjie Zhao , Kai Chen , Ting Yu , Yang Liu , Haoyu Wang

Large Language Models (LLMs) are transforming cybersecurity by enabling intelligent, adaptive, and automated approaches to threat detection, vulnerability assessment, and incident response. With their advanced language understanding and…

密码学与安全 · 计算机科学 2025-07-21 Niveen O. Jaffal , Mohammed Alkhanafseh , David Mohaisen

Large Language Models (LLMs) have quickly risen to prominence due to their ability to perform at or close to the state-of-the-art in a variety of fields while handling natural language. An important field of research is the application of…

密码学与安全 · 计算机科学 2024-02-28 Gabriel de Jesus Coelho da Silva , Carlos Becker Westphall

The rapid development of large language models (LLMs) has opened new avenues across various fields, including cybersecurity, which faces an evolving threat landscape and demand for innovative technologies. Despite initial explorations into…

密码学与安全 · 计算机科学 2024-12-05 Jie Zhang , Haoyu Bu , Hui Wen , Yongji Liu , Haiqiang Fei , Rongrong Xi , Lun Li , Yun Yang , Hongsong Zhu , Dan Meng

In safety-critical software systems, cybersecurity activities become essential, with risk assessment being one of the most critical. In many software teams, cybersecurity experts are either entirely absent or represented by only a small…

软件工程 · 计算机科学 2025-10-14 Fikret Mert Gultekin , Oscar Lilja , Ranim Khojah , Rebekka Wohlrab , Marvin Damschen , Mazen Mohamad

Large language models (LLMs) are demonstrating increasing prowess in cybersecurity applications, creating creating inherent risks alongside their potential for strengthening defenses. In this position paper, we argue that current efforts to…

密码学与安全 · 计算机科学 2025-02-04 Kamilė Lukošiūtė , Adam Swanda

Large language models (LLMs) are a class of powerful and versatile models that are beneficial to many industries. With the emergence of LLMs, we take a fresh look at cyber security, specifically exploring and summarizing the potential of…

密码学与安全 · 计算机科学 2024-04-18 Dinil Mon Divakaran , Sai Teja Peddinti

As large language models (LLMs) are increasingly used in human-centered tasks, assessing their psychological traits is crucial for understanding their social impact and ensuring trustworthy AI alignment. While existing reviews have covered…

Large Language Models (LLMs) have demonstrated extraordinary capabilities and contributed to multiple fields, such as generating and summarizing text, language translation, and question-answering. Nowadays, LLM is becoming a very popular…

计算与语言 · 计算机科学 2024-11-18 Badhan Chandra Das , M. Hadi Amini , Yanzhao Wu

Large language models (LLMs) have significantly transformed the landscape of Natural Language Processing (NLP). Their impact extends across a diverse spectrum of tasks, revolutionizing how we approach language understanding and generations.…

密码学与安全 · 计算机科学 2025-06-13 Sara Abdali , Richard Anarfi , CJ Barberan , Jia He , Erfan Shayegani

Large Language Models (LLMs) have recently emerged as powerful tools in cybersecurity, offering advanced capabilities in malware detection, generation, and real-time monitoring. Numerous studies have explored their application in…

密码学与安全 · 计算机科学 2025-04-11 Hamed Jelodar , Samita Bai , Parisa Hamedi , Hesamodin Mohammadian , Roozbeh Razavi-Far , Ali Ghorbani

This paper explores the intersection of psychology and artificial intelligence through the development and evaluation of specialized Large Language Models (LLMs). We introduce PsychoLex, a suite of resources designed to enhance LLMs'…

计算与语言 · 计算机科学 2024-08-19 Mohammad Amin Abbasi , Farnaz Sadat Mirnezami , Hassan Naderi

Information security is facing increasingly severe challenges, and traditional protection means are difficult to cope with complex and changing threats. In recent years, as an emerging intelligent technology, large language models (LLMs)…

密码学与安全 · 计算机科学 2026-02-03 Chang Gong , Zhongwen Li , Xiaoqi Li

This report explores the convergence of large language models (LLMs) and cybersecurity, synthesizing interdisciplinary insights from network security, artificial intelligence, formal methods, and human-centered design. It examines emerging…

密码学与安全 · 计算机科学 2025-05-05 Tao Li , Ya-Ting Yang , Yunian Pan , Quanyan Zhu

While modern society benefits from a range of technological advancements, it also is exposed to an ever-increasing set of cybersecurity threats. These affect all areas of life including business, government, and individuals. To complement…

密码学与安全 · 计算机科学 2023-08-31 Maria Bada , Jason R. C. Nurse

Large Language Models (LLMs) are intensively used to assist security analysts in counteracting the rapid exploitation of cyber threats, wherein LLMs offer cyber threat intelligence (CTI) to support vulnerability assessment and incident…

密码学与安全 · 计算机科学 2025-10-03 Luoxi Tang , Yuqiao Meng , Ankita Patra , Weicheng Ma , Muchao Ye , Zhaohan Xi

Large Language Models (LLMs) are transforming human decision-making by acting as cognitive collaborators. Yet, this promise comes with a paradox: while LLMs can improve accuracy, they may also erode independent reasoning, promote…

密码学与安全 · 计算机科学 2025-09-09 Irdin Pekaric , Philipp Zech , Tom Mattson

This paper studies the integration off Large Language Models into cybersecurity tools and protocols. The main issue discussed in this paper is how traditional rule-based and signature based security systems are not enough to deal with…

密码学与安全 · 计算机科学 2025-11-07 Raunak Somani , Aswani Kumar Cherukuri
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