Deep learning in the fast lane: A survey on advanced intrusion detection systems for intelligent vehicle networks

M Almehdhar, A Albaseer, MA Khan… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
The rapid evolution of modern automobiles into intelligent and interconnected entities
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …

Transformers and large language models for efficient intrusion detection systems: A comprehensive survey

H Kheddar - arXiv preprint arXiv:2408.07583, 2024 - arxiv.org
With significant advancements in Transformers LLMs, NLP has extended its reach into many
research fields due to its enhanced capabilities in text generation and user interaction. One …

Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey

M Xu, D Niyato, J Kang, Z Xiong, A Jamalipour… - arXiv preprint arXiv …, 2024 - arxiv.org
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …

Large Language Models for Cyber Resilience: A Comprehensive Review, Challenges, and Future Perspectives

W Ding, M Abdel-Basset, AM Ali, N Moustafa - Applied Soft Computing, 2024 - Elsevier
Interconnect cyber system is used by various users and organizations worldwide to perform
different activities. These activities are combined with digital information and systems around …

MistralBSM: Leveraging Mistral-7B for Vehicular Networks Misbehavior Detection

W Hamhoum, S Cherkaoui - arXiv preprint arXiv:2407.18462, 2024 - arxiv.org
Vehicular networks are exposed to various threats resulting from malicious attacks. These
threats compromise the security and reliability of communications among road users …

A review of advancements and applications of pre-trained language models in cybersecurity

Z Liu - 2024 12th International Symposium on Digital …, 2024 - ieeexplore.ieee.org
In this paper, we delve into the transformative role of pre-trained language models (PLMs) in
cybersecurity, offering a comprehensive examination of their deployment across a wide …

A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

M Hassanin, N Moustafa - arXiv preprint arXiv:2405.14487, 2024 - arxiv.org
The recent progression of Large Language Models (LLMs) has witnessed great success in
the fields of data-centric applications. LLMs trained on massive textual datasets showed …

A Cloud Collaborative-based Intrusion Detection and Prevention System for IVN

S Li, Y Cao, T Liao, F Yan, H Lin - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the increasing intelligence and convenience of modern vehicles, Internet-of-Vehicle
(IoV) technology plays a pivotal role in driving these advancements. While IoV enhances …

SecureBERT and LLAMA 2 Empowered Control Area Network Intrusion Detection and Classification

X Li, H Fu - arXiv preprint arXiv:2311.12074, 2023 - arxiv.org
Numerous studies have proved their effective strength in detecting Control Area Network
(CAN) attacks. In the realm of understanding the human semantic space, transformer-based …

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions

GO Boateng, H Sami, A Alagha, H Elmekki… - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid evolution of communication networks in recent decades has intensified the need
for advanced Network and Service Management (NSM) strategies to address the growing …