Results 61 to 70 of about 56,711 (201)
A Threat Intelligence Event Extraction Conceptual Model for Cyber Threat Intelligence Feeds
In response to the escalating cyber threats, the efficiency of Cyber Threat Intelligence (CTI) data collection has become paramount in ensuring robust cybersecurity. However, existing works encounter significant challenges in preprocessing large volumes of multilingual threat data, leading to inefficiencies in real-time threat analysis.
Jamal H. Al-Yasiri +4 more
openaire +2 more sources
Machine learning and artificial intelligence boosting automotive threat intelligence
In this work we describe an approach to Threat Intelligence activities for Automotive Products. Taking for granted the increased need to have efficient and actionable results of threat and vulnerability intelligence for automotive products (e.g., because
Bertoglio, Luca +2 more
core
Cyber Soldier project - A threat-led methodology for assessing the Digital Resilience of cybersecurity systems [PDF]
We present Cyber Soldier Methodology and tool set that introduces a threat-led methodology for assessing the digital resilience of cybersecurity systems within organizations required to comply with European regulatory frameworks such as the Digital ...
Mariusz Stawowski +6 more
doaj +1 more source
Big data security analysis method based on self-update threat intelligence database
Big data security analysis method is generally based on the existing signature database to detect and match malicious behaviors.This method can only detect known attacks and can't analyze and judge new types of unknown attacks and complex variant attacks.
Yanfang HOU, Jinhua WANG
doaj +2 more sources
SecBI: Cyber Threat Intelligence
The cyber security company SecBI analyzes the network traffic of clients to un- derstand the full scope of cyber threats. Threat intelligence data is knowledge used to help recognize threats.
Nakagawa, Isamu George
core
Investigating low intelligence stereotype threat in adults with developmental dyslexia
Stereotype threat (ST) is a phenomenon that leads to decreased test performance and occurs when one deals with added pressure of being judged on the basis of stereotyped group membership.
Piotrowska, Barbara, Barratt, John
core +1 more source
Network security situational awareness model based on threat intelligence
In order to deal with the problems that the increasing scale of the network in the real environment leads to the continuous high incidence of network attacks, the threat intelligence was applied to situational awareness, and the situational awareness ...
Hongbin ZHANG +3 more
doaj +2 more sources
The rapid advancements in artificial intelligence (AI) and machine learning (ML) have significantly influenced the cybersecurity landscape, particularly in the banking sector, where threats are increasingly sophisticated.
Hewa Majeed Zangana +2 more
doaj +1 more source
Open source intelligence (OSINT): a contemporary intelligence lifeline [PDF]
Traditionally, intelligence has been distinguished from all other forms of information working by its secrecy.Secret intelligence is about the acquisition of information from entities that do not wish that information to be acquired and,ideally,never ...
Gibson, S. D.
core
NLP-Based Techniques for Cyber Threat Intelligence
In the digital era, threat actors employ sophisticated techniques for which, often, digital traces in the form of textual data are available. Cyber Threat Intelligence~(CTI) is related to all the solutions inherent to data collection, processing, and ...
Nicolazzo, Serena +6 more
core

