Results 131 to 140 of about 2,609 (164)

A hybrid XGBoost-SVM ensemble framework for robust cyber-attack detection in the internet of medical things (IoMT). [PDF]

Sci Rep
Abdelhaq M, Palanisamy S, Gopinath M, Manasa VGS, Ram MA, Md SK.   +5 more
europepmc   +1 more source

A dataset of windows malware execution traces. [PDF]

Data Brief
Raducu R, Villagrasa-Labrador A, Rodríguez RJ, Álvarez P.   +3 more
europepmc   +1 more source

Optimized ensemble machine learning model for cyberattack classification in industrial IoT. [PDF]

Front Artif Intell
Alabdullah B, Sankaranarayanan S.
europepmc   +1 more source

Finding the needle in the haystack-An interpretable sequential pattern mining method for classification problems. [PDF]

Front Big Data
Grote A, Hariharan A, Weinhardt C.
europepmc   +1 more source

Tackling fraud detection with an enhanced Kepler optimization and ghost opposition-based learning. [PDF]

Front Artif Intell
Egami RH, Abd El-Mageed AA, Gafar M, Abohany AA.   +3 more
europepmc   +1 more source

GCSA-ResNet: a deep neural network architecture for Malware detection. [PDF]

Sci Rep
Fan Y, Zhang K, Zheng B, Zhou Y, Zhou J, Pan W.   +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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Malware Analysis and Classification

2023
Malicious applications can be a security threat to Cyber-physical systems as these systems are composed of heterogeneous distributed systems and mostly depends on the internet, ICT services and products. The usage of ICT products and services gives the opportunity of less expensive data collection, intelligent control and decision systems using ...
Jairaj Singh, Kishore Kumar Kumar Senapati   +1 more
openaire   +1 more source

Improving malware classification

Proceedings of the 5th ACM workshop on Security and artificial intelligence, 2012
Malware classification systems have typically used some machine learning algorithm in conjunction with either static or dynamic features collected from the binary. Recently, more advanced malware has introduced mechanisms to avoid detection in these views by using obfuscation techniques to avoid static detection and execution-stalling techniques to ...
Blake Anderson, Curtis Storlie, Terran Lane   +2 more
openaire   +1 more source