Results 51 to 60 of about 383 (171)

Social Engineering Analysis Framework: A Comprehensive Playbook for Human Hacking

IEEE Access
Social Engineering attacks are among the most exploited methods in today’s cybersecurity threat landscape. Despite the impact and the volume of such incidents, there is still a surprising lack of comprehensive tools or frameworks offering an in ...
Wojciech Nowakowski
doaj   +1 more source

Reconstructing Coherent Functional Landscape From Multi‐Modal Multi‐Slice Spatial Transcriptomics by a Variational Spatial Gaussian Process

Advanced Science, Volume 13, Issue 16, 18 March 2026.
This study introduces stVGP, a variational spatial Gaussian process framework for multi‐modal, multi‐slice spatial transcriptomics. By integrating histological and genomic data through hybrid alignment and attention‐based fusion, stVGP reconstructs coherent 3D functional landscapes.
Zedong Wang, Bowen Fu, Chuanchao Zhang, Xiaoping Liu   +3 more
wiley   +1 more source

Intrusion Detection Datasets for IIoT and ICS: A Taxonomic Review with a Decision-Aid Scoring Rubric

Sensors
Dataset quality significantly affects the effectiveness of a machine learning (ML) model in an intrusion detection system (IDS) for cyber-physical industrial control systems (CPS/ICS) and Industrial Internet of Things (IIoT).
Ayman Termanini, Hadj Bourdoucen, Dawood Al-Abri, Ahmed Al Maashri   +3 more
doaj   +1 more source

Empowering Software Engineers to Design More Secure Web Applications: Guidelines and Potential of Using LLMs as a Recommender Tool

Journal of Software: Evolution and Process, Volume 38, Issue 2, February 2026.
ABSTRACT As software applications get increasingly connected and complex, cybersecurity becomes more and more important to consider during development and evaluation. Software engineers need to be aware of various security threats and the countermeasures that can be taken to mitigate them.
Raffaela Groner, Klara Svensson, Drake Axelrod, Ranim Khojah, Mazen Mohamad, Rebekka Wohlrab   +5 more
wiley   +1 more source

AI-Based MITRE ATT&CK Detection System: A Feasibility Study

2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)
The rise in cyber threats necessitates automated detection systems that can effectively identify and respond to hostile techniques. This paper presents a feasibility assessment of adopting Large Language Models (LLMs) to enhance cyber- security operations within the MITRE ATT&CK framework.
Dimitris Koutras, Michalis Karamousadakis, Giannis Konstantinidis, Christos Grigoriadis, Vangelis Malamas, Panayiotis Kotzanikolaou   +5 more
openaire   +2 more sources

Cyber Resilience Assessment of Industrial Systems Using Mitre Caldera Adversary Emulation and Siem Detection: A Preliminary Study

Fiabilitate şi Durabilitate
Industrial organizations often rely on default security configurations, assuming they provide a reliable safety net. This paper presents a preliminary empirical study evaluating the detection of Microsoft Sentinel against six Defense Evasion techniques ...
C. M. CIOBANU, O. R. CHIVU, M. HELSTERN
doaj   +1 more source

Event Log Correlation for Multi‐Step Attack Detection

SECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.
ABSTRACT Event log correlation (ELC) is central to detecting multi‐step attacks (MSAD) that unfold across heterogeneous systems and long time horizons. This review synthesises ELC families—mining/sequence, graph learning, provenance/causal correlation, and hybrid LLM‐assisted approaches—through an MSAD‐first lens that ties methods to attack stages and ...
Syed Usman Shaukat, Saad Khan, Simon Parkinson   +2 more
wiley   +1 more source

ACTIC: A Large Language Model‐Based Method for Threat Intelligence Perception

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper proposes a study that introduces an automated method for constructing a threat intelligence knowledge graph construction method based on using large language models, named ACTIC. This approach utilises a locally deployed DeepSeek‐32B model and employs, combined with prompt engineering and Low‐Rank Adaptation (LoRA) fine‐tuning, to extract ...
Changcheng Liu, Changheng Yang, Jun Ma
wiley   +1 more source

A Survey of Cyberspace Security Event Extraction Techniques: Traditional, Machine Learning and Deep Learning Paradigms

IET Communications, Volume 20, Issue 1, January/December 2026.
We present a survey of cybersecurity event extraction. We organise existing studies into four methodological categories, improving readability and facilitating comparison. We also compare the performance of the current approaches. ABSTRACT With the rapid expansion of cyberspace and the increasing complexity of cyber threats, massive volumes of ...
Chunyao Yang, Jiaqi Bao, Yuxiang Shang, Honglin Ding, Qinglang Guo, Yong Liao, Renjie Zhou, Neal Naixue Xiong   +7 more
wiley   +1 more source

Proactive Cyber Defense: A Real-Time CTI Framework with ATT&CK–D3FEND Mapping

Systems
The contemporary cyber-threat landscape is becoming increasingly diverse and complex, creating a persistent gap between situational awareness and operational response. This study presents a framework designed to bridge this gap by transforming up-to-date
Rino Jo, Han-Bin Lee, Jihun Han, Woong-Kyo Jung, Jun-Yong Lee, Tae-Young Kang, Youngsoo Kim, Byung Il Kwak, Mee Lan Han, Jungmin Kang   +9 more
doaj   +1 more source