Results 31 to 40 of about 45,980 (159)
Automatically Attributing Mobile Threat Actors by Vectorized ATT&CK Matrix and Paired Indicator
Sensors, 2021 During the past decade, mobile attacks have been established as an indispensable attack vector adopted by Advanced Persistent Threat (APT) groups. The ubiquitous nature of the smartphone has allowed users to use mobile payments and store private or ...
Kyoungmin Kim +3 more
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Analysing Language-Based Cyber Threats: An Examination of Cybersecurity for Chinese Text
The PinnacleLanguage 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
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Unstructured Big Data Threat Intelligence Parallel Mining Algorithm
Big Data Mining and AnalyticsTo 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 +3 more
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IEEE AccessAs the number of Common Vulnerabilities and Exposures (CVE) continues to grow exponentially, security teams face increasingly difficult decisions about prioritization.
Naoyuki Shimizu, Masaki Hashimoto
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Improving Forensic Triage Efficiency through Cyber Threat Intelligence
Future Internet, 2019 The complication of information technology and the proliferation of heterogeneous security devices that produce increased volumes of data coupled with the ever-changing threat landscape challenges have an adverse impact on the efficiency of information ...
Nikolaos Serketzis +4 more
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A New Threat Intelligence Scheme for Safeguarding Industry 4.0 Systems
IEEE Access, 2018 Industry 4.0 represents the fourth phase of industry and manufacturing revolution, unique in that it provides Internet-connected smart systems, including automated factories, organizations, development on demand, and `just-in-time' development.
Nour Moustafa +3 more
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Cyber Threat Intelligence for Artificial Intelligence Systems
CoRRAs artificial intelligence (AI) becomes deeply embedded in critical services and everyday products, it is increasingly exposed to security threats which traditional cyber defenses were not designed to handle. In this paper, we investigate how cyber threat intelligence (CTI) may evolve to address attacks that target AI systems.
Natalia Krawczyk +3 more
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Cybercrime threat intelligence
Computers and Security, 2021 Significant cybersecurity and threat intelligence analysts agree that online criminal activity is increasing exponentially. To offer an overview of the techniques and indicators to perform cyber crime detection by means of more complex machine- and deep-learning investigations as well as similar threat intelligence and engineering activities over ...
Cascavilla, Giuseppe +2 more
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Evolution of Endpoint Detection and Response (EDR) in Cyber Security: A Comprehensive Review [PDF]
E3S Web of ConferencesEndpoint Detection and Response (EDR) solutions are pivotal in modern cybersecurity strategies, enabling organizations to detect, investigate, and respond to cyber threats effectively.
Kaur Harpreet +6 more
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A Threat Intelligence Event Extraction Conceptual Model for Cyber Threat Intelligence Feeds
2024 7th International Conference on Internet Applications, Protocols, and Services (NETAPPS)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