Results 151 to 160 of about 2,089 (203)

A hierarchical deep learning framework with doubly regularized loss for robust malware detection and family categorization. [PDF]

Sci Rep
Abed Alsaedi S, Alwateer M, Helal Alharbi N, Magdy Balaha H, M Aboelnaga M, Badawy M, A Elhosseini M.   +6 more
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Lightweight malicious URL detection using deep learning and large language models. [PDF]

Sci Rep
Kibriya H, Amin R, Alshamrani SS, Rehman S, Hassan M, Alsubaei FS.   +5 more
europepmc   +1 more source

IoT Forensics: Current Perspectives and Future Directions. [PDF]

Sensors (Basel)
Ahmed AA, Farhan K, Jabbar WA, Al-Othmani A, Abdulrahman AG.   +4 more
europepmc   +1 more source

Enhancing phishing detection with dynamic optimization and character-level deep learning in cloud environments. [PDF]

PeerJ Comput Sci
Ravula V, Ramaiah M.
europepmc   +1 more source

Detecting lateral movement: A systematic survey. [PDF]

Heliyon
Smiliotopoulos C, Kambourakis G, Kolias C.   +2 more
europepmc   +1 more source

A Survey on Satellite Communication System Security. [PDF]

Sensors (Basel)
Kang M, Park S, Lee Y.
europepmc   +1 more source

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How Cyber Threat Intelligence (CTI) Ensures Cyber Resilience Using Artificial Intelligence and Machine Learning

2022
Cyber threat intelligence (CTI) has emerged as a critical pillar in a well-developed cyber security strategy. When used correctly, threat information may assist security teams in defending against an ever-more sophisticated threat landscape before, during, and after an attack.
Neelima Kant, null Amrita
openaire   +1 more source

Dark-Net Ecosystem Cyber-Threat Intelligence (CTI) Tool

2019 IEEE International Conference on Intelligence and Security Informatics (ISI), 2019
The frequency and costs of cyber-attacks are increasing each year. By the end of 2019, the total cost of data breaches is expected to reach $2.1 trillion through the ever-growing online presence of enterprises and their consumers. The tools to perform these attacks and the breached data can often be purchased within the Dark-net.
Nolan Arnold, Mohammadreza Ebrahimi, Ning Zhang, Ben Lazarine, Mark Patton, Hsinchun Chen, Sagar Samtani   +6 more
openaire   +1 more source