Results 41 to 50 of about 150,359 (291)

Time for aCTIon: Automated Analysis of Cyber Threat Intelligence in the Wild [PDF]

arXiv.org, 2023
Cyber Threat Intelligence (CTI) plays a crucial role in assessing risks and enhancing security for organizations. However, the process of extracting relevant information from unstructured text sources can be expensive and time-consuming.
G. Siracusano, D. Sanvito, Roberto González, Manikantan Srinivasan, Sivakaman Kamatchi, Wataru Takahashi, Masaru Kawakita, Takahiro Kakumaru, R. Bifulco   +8 more
semanticscholar   +1 more source

Cyber Threat Intelligence for Improving Cybersecurity and Risk Management in Critical Infrastructure [PDF]

Journal of Universal Computer Science, 2019
Cyber-attack is one of the significant threats affecting to any organisation specifically to the Critical Infrastructure (CI) organisation. These attacks are nowadays more sophisticated, multi-vectored and less predictable, which make the Cyber Security ...
Halima Kure, Shareeful Islam
doaj   +3 more sources

Graph-based visual analytics for cyber threat intelligence

Cybersecurity, 2018
The ever-increasing amount of major security incidents has led to an emerging interest in cooperative approaches to encounter cyber threats. To enable cooperation in detecting and preventing attacks it is an inevitable necessity to have structured and ...
Fabian Böhm, Florian Menges, Günther Pernul   +2 more
doaj   +1 more source

Actionable Cyber Threat Intelligence Using Knowledge Graphs and Large Language Models [PDF]

2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)
Cyber threats are constantly evolving. Extracting actionable insights from unstructured Cyber Threat Intelligence (CTI) data is essential to guide cybersecurity decisions.
Romy Fieblinger, Md Tanvirul Alam, Nidhi Rastogi   +2 more
semanticscholar   +1 more source

Towards an AI-Enhanced Cyber Threat Intelligence Processing Pipeline [PDF]

Electronics
Cyber threats continue to evolve in complexity, thereby traditional cyber threat intelligence (CTI) methods struggle to keep pace. AI offers a potential solution, automating and enhancing various tasks, from data ingestion to resilience verification ...
Lampis Alevizos, Martijn Dekker
semanticscholar   +1 more source

Dynamic real-time risk analytics of uncontrollable states in complex internet of things systems, cyber risk at the edge [PDF]

, 2020
The Internet of Things (IoT) triggers new types of cyber risks. Therefore, the integration of new IoT devices and services requires a self-assessment of IoT cyber security posture.
Ani, Uchenna, Anthi, Eirini, Burnap, Pete, De Roure, David, Maddox, LaTreall, Montalvo, Rafael Mantilla, Nurse, Jason R. C., Radanliev, Petar, Santos, Omar, Van Kleek, Max   +9 more
core   +3 more sources

Cyber Threat Intelligence for Improving Cyber Supply Chain Security [PDF]

2019 International Conference on Cyber Security and Internet of Things (ICSIoT), 2019
Cyber supply chain (CSC) systems provide operational efficiency and business continuity due to the integrated nature of various network system nodes. Such integration has made the overall system vulnerable to various cyber attacks and malware propagation is one of the common attacks for CSC.
Yeboah-Ofori, Abel, Islam, Shareeful, Yeboah-Boateng, Ezer   +2 more
openaire   +1 more source

Human–AI Enhancement of Cyber Threat Intelligence

International Journal of Information Security
This study proposes a human-AI collaboration to model the landscape of cyber threat intelligence (CTI) and use it to detect suspicious communication indicating impending cybersecurity incidents. We show how the collaboration between cybersecurity experts
Daniel Cohen, Dov Te’eni, I. Yahav, Alexey Zagalsky, David G. Schwartz, Gahl Silverman, Yossi Mann, Amir Elalouf, Jeremy Makowski   +8 more
semanticscholar   +1 more source

Unifying Cyber Threat Intelligence [PDF]

, 2019
The threat landscape and the associated number of IT security incidents are constantly increasing. In order to address this problem, a trend towards cooperative approaches and the exchange of information on security incidents has been developing over recent years. Today, several different data formats with varying properties are available that allow to
Menges, Florian, Sperl, Christine, Pernul, Günther   +2 more
openaire   +2 more sources

DLTIF: Deep Learning-Driven Cyber Threat Intelligence Modeling and Identification Framework in IoT-Enabled Maritime Transportation Systems

IEEE transactions on intelligent transportation systems (Print), 2023
The recent burgeoning of Internet of Things (IoT) technologies in the maritime industry is successfully digitalizing Maritime Transportation Systems (MTS).
Prabhat Kumar, Govind P. Gupta, Rakesh Tripathi, S. Garg, Mohammad Mehedi Hassan   +4 more
semanticscholar   +1 more source