Results 41 to 50 of about 56,711 (201)

Cyber Threat Intelligence Model: An Evaluation of Taxonomies, Sharing Standards, and Ontologies within Cyber Threat Intelligence

, 2017
Threat intelligence is the provision of evidence-based knowledge about existing or potential threats. Benefits of threat intelligence include improved efficiency and effectiveness in security operations in terms of detective and preventive capabilities ...
Bromander, Siri, Siri Bromander, Mavroeidis, Vasileios, Vasileios Mavroeidis   +3 more
core   +2 more sources

Methodological Framework to Collect, Process, Analyze and Visualize Cyber Threat Intelligence Data

, 2022
Cyber attacks have increased in frequency in recent years, affecting small, medium and large companies, creating an urgent need for tools capable of helping the mitigation of such threats.
Lucas José Borges Amaro, Ferreira Giozza, William, Oliveira Albuquerque, Robson de, Lopes de Mendonca, Fabio Lucio, Fabio Lucio Lopes de Mendonca, William Ferreira Giozza, Luis Javier García Villalba, Bruce William Percilio Azevedo, Borges Amaro, Lucas José, García Villalba, Luis Javier, Robson de Oliveira Albuquerque, Percilio Azevedo, Bruce William   +11 more
core   +1 more source

Analysing Language-Based Cyber Threats: An Examination of Cybersecurity for Chinese Text

The Pinnacle
Language barriers can impede effective communication and collaboration among cybersecurity professionals who speak different languages, potentially leading to misinterpretations of security policies, threat intelligence, and incident reports, thereby ...
Bruce Mills
doaj   +1 more source

Domain-Oriented Topic Discovery Based on Features Extraction and Topic Clustering

IEEE Access, 2020
Topic detection technology can automatically discover new topics on the Internet. This paper investigates domain-oriented feature extraction methods, and proposes a keyword feature extraction method ITFIDF-LP, a subject word feature extraction method LDA-
Xiaofeng Lu, Xiao Zhou, Wenting Wang, Pietro Lio, Pan Hui   +4 more
doaj   +1 more source

From logs to Stories: Human-Centred Data Mining for Cyber Threat Intelligence

IEEE Access, 2020
An average medium-sized organisation logs approx. 10 to 500 mln events per day on the system. Only less than 5% of threat alerts are being investigated by the specialised staff, leaving the security hole open for potential attacks.
Neda Afzaliseresht, Yuan Miao, Sandra Michalska, Qing Liu, Hua Wang   +4 more
doaj   +1 more source

Cyber threat intelligence sharing: technologies, issues & challenges

, 2020
Στόχος της παρούσας διπλωματικής εργασίας είναι να παρουσιάσει το Cyber Threat Intelligence Sharing, τη διαδικασία δηλαδή ανταλλαγής πληροφοριών για την ασφάλεια.
Ζώτου, Γεωργία
core  

Unstructured Big Data Threat Intelligence Parallel Mining Algorithm

Big Data Mining and Analytics
To efficiently mine threat intelligence from the vast array of open-source cybersecurity analysis reports on the web, we have developed the Parallel Deep Forest-based Multi-Label Classification (PDFMLC) algorithm.
Zhihua Li, Xinye Yu, Tao Wei, Junhao Qian   +3 more
doaj   +1 more source

QBC Inconsistency-Based Threat Intelligence IOC Recognition

IEEE Access, 2021
With the increase in cyber-attacks, Cyber Threat Intelligence (CTI) has become a hot topic. Log detection using Indicators of Compromise (IOCs) to detect critical risks, such as compromised internal hosts, is the most common use scenario for CTI ...
Wenli Zeng, Zhi Liu, Yaru Yang, Gen Yang, Qin Luo   +4 more
doaj   +1 more source

"Sharing agreements for Cyber Threat Intelligence"

, 2023
Cyber threat intelligence represents a force multiplier for organizations looking to update their response and detection programs to deal with increasingly sophisticated advanced persistent threats.
Mooi, Roderick
core   +1 more source

Challenges and Opportunities of Blockchain for Cyber Threat Intelligence Sharing

, 2022
The emergence of the Internet of Things (IoT) technology has caused a powerful transition in the cyber threat landscape. As a result, organisations have had to find new ways to better manage the risks associated with their infrastructure.
Jadidi, Z, Pal, S, Dunnett, K
core   +1 more source