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Cyber threat intelligence: existing benefits and challenges for law firms and businesses
Globally, cyber threats have increased both in frequency and sophistication. For this reason, companies and law firms alike need to respond by...
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An efficient cyber threat prediction using a novel artificial intelligence technique
Digital applications are ruling today's world with their advancement. However, offering security for that digital application is an important and...
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Integrating AI-driven threat intelligence and forecasting in the cyber security exercise content generation lifecycle
The escalating complexity and impact of cyber threats require organisations to rehearse responses to cyber-attacks by routinely conducting cyber...
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Factors Amplifying or Inhibiting Cyber Threat Intelligence Sharing
The increasing frequency of cyberattacks by criminal and state-sponsored actors, has elevated the importance of cyber threat intelligence for...
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Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection
The uses of machine learning (ML) technologies in the detection of network attacks have been proven to be effective when designed and evaluated using...
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Cyber Threat Intelligence Analysis for Situational Understanding in Autonomous Transport Systems
Autonomous transport systems promise to change how mobility is serviced, with potential ramifications in how cities and societies function. Among...
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Leveraging a cloud-native architecture to enable semantic interconnectedness of data for cyber threat intelligence
Cloud technologies have several merits including the elimination of cost incurred when traditional technologies are adopted. Despite the benefits,...
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The LeWiS Method: Target Variable Estimation Using Cyber Security Intelligence
Information technology plays an increasingly important role in the provision of essential services. For these systems and networks to be reliable and...
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TriCTI: an actionable cyber threat intelligence discovery system via trigger-enhanced neural network
The cybersecurity report provides unstructured actionable cyber threat intelligence (CTI) with detailed threat attack procedures and indicators of...
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RETRACTED ARTICLE: Artificial intelligence assisted cyber threat assessment and applications for the tourism industry
Today, artificial intelligence (AI) can be found in nearly every aspect of travel and tourism, from personalization and recommendation systems to...
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An autoML network traffic analyzer for cyber threat detection
Timely detection and effective treatment of cyber-attacks for protecting personal and sensitive data from unauthorized disclosure constitute a core...
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Cyber threat assessment and management for securing healthcare ecosystems using natural language processing
The healthcare sectors have constantly faced significant challenge due to the rapid rise of cyber threats. These threats can pose any potential risk...
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Cyber Threat Intelligence (CTI): An Analysis on the Use of Artificial Intelligence and Machine Learning to Identify Cyber Hazards
Data transport volume and scope on networks are growing daily due to the quick advancements in network technology. It is challenging for...
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CyTIE: Cyber Threat Intelligence Extraction with Named Entity Recognition
In the dynamic intersection of Natural Language Processing and cyber security, Named Entity Recognition plays a pivotal role in comprehending and...
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RETRACTED ARTICLE: Artificial intelligence enabled fuzzy multimode decision support system for cyber threat security defense automation
Security defense automation uses technology that reduces human assistance to integrate security applications, processes, and infrastructure. In the...
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Cyber risk management for autonomous passenger ships using threat-informed defense-in-depth
Recent innovations in the smart city domain have led to the proposition of a new mode of transportation utilizing Autonomous Passenger Ships (APS) or...
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Open-source intelligence: a comprehensive review of the current state, applications and future perspectives in cyber security
The volume of data generated by today’s digitally connected world is enormous, and a significant portion of it is publicly available. These data...
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Actionable Cyber Threat Intelligence for Automated Incident Response
Applying Cyber Threat Intelligence for active cyber defence, while potentially very beneficial, is currently limited to predominantly manual use. In...
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An Empirical Evaluation of Cyber Threat Intelligence Sharing in the ECHO Early Warning System
This paper reports on the information sharing practices of cyber competency centres representing different sectors and constituencies. The cyber...
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A Roadmap for SMEs to Adopt an AI Based Cyber Threat Intelligence
Cybersecurity has started to become the most significant concern among organizations as the number of threats and criminal activities in the past...