Large language models (LLMs) have significantly advanced the field of natural language
processing (NLP), providing a highly useful, task-agnostic foundation for a wide range of …

With the rapidly evolving technological landscape, the huge development of the Internet of
Things, and the embracing of digital transformation, the world is witnessing an explosion in …

The MITRE ATT&CK framework, a comprehensive knowledge base of adversary tactics and
techniques, has been widely adopted by the cybersecurity industry as well as by academic …

In this letter, we present a comprehensive analysis of the security landscape surrounding
large language models, leveraging a dataset from 2022 to 2023. We delve into the …

Transformer-based text classifiers like BERT, Roberta, T5, and GPT-3 have shown
impressive performance in NLP. However, their vulnerability to adversarial examples poses …

Recent works in cyber deception study how to deter malicious intrusion by generating
multiple fake versions of a critical document to impose costs on adversaries who need to …

With the increasing complexity of cyber threats and the expanding scope of cyberspace,
there exist progressively more challenges in cyber threat detection. It's proven that most …

Formal Ontology is a discipline whose business is to develop formal theories about general
aspects of reality such as identity, dependence, parthood, truthmaking, causality, etc. A …

The smart city comprises various infrastructures, including healthcare, transportation,
manufacturing, and energy. A smart city's Internet of Things (IoT) environment constitutes a …

ABSTRACT Cyber Threat Intelligence (CTI) is a valuable resource for cybersecurity defense,
but it also poses challenges due to its multi-source and heterogeneous nature. Security …