Results 111 to 120 of about 2,699 (152)

Malware detection using pre-trained transformer encoder with byte sequences. [PDF]

PLoS One
Kim EJ, Lee YK, Lee SM, Kim JN, Kang AR, Kim MS, Jeong YS.   +6 more
europepmc   +1 more source

An Intelligent Sensing Framework for Early Ransomware Detection Using MHSA-LSTM Machine Learning. [PDF]

Sensors (Basel)
Alqahtani A, Ohemeng MO, Sheldon FT.
europepmc   +1 more source

Artificial intelligence driven approach for securing backup data and enhancing cyber resilience in sustainable smart infrastructure. [PDF]

Sci Rep
Kumar B, Gupta SK, Dwivedi R, Alsekai DM, AbdElminaam DS, Kilickaya O.   +5 more
europepmc   +1 more source

A robust and dynamic malware detection and classification model using behavioral-based analysis and BERT technique. [PDF]

PLoS One
Alhazmi AH.
europepmc   +1 more source

A spyware detection method for firmware based cyber attacks. [PDF]

Sci Rep
Shamshirsaz BA, Asghari SA, Aminian M.
europepmc   +1 more source

Peer Review Report For: Malware Detection Using RNA Encoding and Convolutional Neural Networks on the Malicious Network Dataset [version 3; peer review: 2 approved]

openaire   +1 more source

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

Orchestrating machine learning models in a swarm architecture for IoT inline malware detection. [PDF]

Sci Rep
Hanif M, Munir EU, Rehan MM, Ahmad SG, Ayyub K, Ramzan N.   +5 more
europepmc   +1 more source

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Towards a 2-hybrid Android malware detection test framework

2016 International Conference on Electronics, Communications and Computers (CONIELECOMP), 2016
Current pervasive usage of mobile devices around the world has rose big security and data protection concerns both into the application development process as into the data security field. Although the long way of development in PC security malware treatment in the computer science and industrial areas, mobile devices security research and development ...
Abraham Rodriguez-Mota, Ponciano Jorge Escamilla-Ambrosio, Salvador Morales-Ortega, Moisés Salinas-Rosales, Eleazar Aguirre Anaya   +4 more
openaire   +1 more source

Ultra-Lightweight Malware Detection of Android Using 2-Level Machine Learning

2016 3rd International Conference on Information Science and Control Engineering (ICISCE), 2016
As Android becoming the most popular smart phone operating system, malicious applications running on the Android platform appears very frequently and poses the major threat to the security of Android. Considering the resources of smart phone are severely limited, a stable, simple and quick malware detection method for Android is indispensable.
Li Ma, Yuexiang Yang, Xiaolei Wang, Jie He   +3 more
openaire   +1 more source