Results 171 to 180 of about 6,970 (211)

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

Comparative Analysis of Voting Schemes for Ensemble-based Malware Detection

, 2013
Raja Khurram Shahzad, Niklas Lavesson
openalex   +1 more source

A dataset of windows system binaries and similarity digests for enhanced forensic analysis. [PDF]

Data Brief
Huici D, Rodríguez RJ.
europepmc   +1 more source

Hybrid deep learning model for accurate and efficient android malware detection using DBN-GRU. [PDF]

PLoS One
Kauser Sk H, Anu V M.
europepmc   +1 more source

A novel technique for ransomware detection using image based dynamic features and transfer learning to address dataset limitations. [PDF]

Sci Rep
Ferdous J, Islam R, Mahboubi A, Islam MZ.   +3 more
europepmc   +1 more source

Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM. [PDF]

PLoS One
Nazim S, Alam MM, Rizvi SS, Mustapha JC, Hussain SS, Suud MM.   +5 more
europepmc   +1 more source

Research on APT groups malware classification based on TCN-GAN. [PDF]

PLoS One
Chen D, Yan H.
europepmc   +1 more source

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Malware Analysis

2022
The number of malware is constantly growing. Better detection techniques need to be developed to keep detection times as short as possible and to reduce the cost of malware attacks. Malicious programs use a variety of techniques to avoid detection. Each technique has been developed as a countermeasure to a particular method of detection.
Kiperberg, Michael, Resh, Amit, Zaidenberg, Nezer   +3 more
openaire   +3 more sources