[HTML][HTML] A review of threat modelling approaches for APT-style attacks
Threats are potential events, intentional or not, that compromise the confidentiality, integrity,
and/or availability of information systems. Defending against threats and attacks requires …
and/or availability of information systems. Defending against threats and attacks requires …
Text mining in cybersecurity: A systematic literature review
The growth of data volume has changed cybersecurity activities, demanding a higher level
of automation. In this new cybersecurity landscape, text mining emerged as an alternative to …
of automation. In this new cybersecurity landscape, text mining emerged as an alternative to …
Hincti: A cyber threat intelligence modeling and identification system based on heterogeneous information network
Y Gao, X Li, H Peng, B Fang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Cyber attacks have become increasingly complicated, persistent, organized, and
weaponized. Faces with this situation, drives a rising number of organizations across the …
weaponized. Faces with this situation, drives a rising number of organizations across the …
DLTIF: Deep learning-driven cyber threat intelligence modeling and identification framework in IoT-enabled maritime transportation systems
The recent burgeoning of Internet of Things (IoT) technologies in the maritime industry is
successfully digitalizing Maritime Transportation Systems (MTS). In IoT-enabled MTS, the …
successfully digitalizing Maritime Transportation Systems (MTS). In IoT-enabled MTS, the …
Linking threat tactics, techniques, and patterns with defensive weaknesses, vulnerabilities and affected platform configurations for cyber hunting
E Hemberg, J Kelly, M Shlapentokh-Rothman… - arXiv preprint arXiv …, 2020 - arxiv.org
Many public sources of cyber threat and vulnerability information exist to help defend cyber
systems. This paper links MITRE's ATT&CK MATRIX of Tactics and Techniques, NIST's …
systems. This paper links MITRE's ATT&CK MATRIX of Tactics and Techniques, NIST's …
HARMer: Cyber-attacks automation and evaluation
With the increasing growth of cyber-attack incidences, it is important to develop innovative
and effective techniques to assess and defend networked systems against cyber attacks …
and effective techniques to assess and defend networked systems against cyber attacks …
Machine learning with big data analytics for cloud security
AS Mohammad, MR Pradhan - Computers & Electrical Engineering, 2021 - Elsevier
The amount of data generated and transmitted more quickly, particularly with the demand for
action in real-time, has greatly increased with the growing number of internet-connected …
action in real-time, has greatly increased with the growing number of internet-connected …
Exsense: Extract sensitive information from unstructured data
Y Guo, J Liu, W Tang, C Huang - Computers & Security, 2021 - Elsevier
Large-scale sensitive information leakage incidents are frequently reported in recent years.
Once sensitive information is leaked, it may lead to serious effects. In this context, sensitive …
Once sensitive information is leaked, it may lead to serious effects. In this context, sensitive …
A State-of-the-Art Review of Malware Attack Trends and Defense Mechanism.
The increasing sophistication of malware threats has led to growing concerns in the anti-
malware community, as malware poses a significant danger to online users despite the …
malware community, as malware poses a significant danger to online users despite the …
SmartValidator: A framework for automatic identification and classification of cyber threat data
A wide variety of Cyber Threat Information (CTI) is used by Security Operation Centres
(SOCs) to perform validation of security incidents and alerts. Security experts manually …
(SOCs) to perform validation of security incidents and alerts. Security experts manually …