Results 131 to 140 of about 12,725 (233)

SSCT Score for Malware Detection

, 2015
Metamorphic malware transforms its internal structure when it propagates, making detection of such malware a challenging research problem. Previous research considered a score based on simple substitution cryptanalysis, which was applied to the ...
Srinivasan, Srividhya
core   +1 more source

Detection of unseen malware threats using generative adversarial networks and deep learning models

Scientific Reports
The fast advancement of malware makes it an urgent problem for cybersecurity, as perpetrators consistently devise obfuscation methods to avoid detection.
Chirag Joshi, Jashvant Kumar, Gaurav Kumawat   +2 more
doaj   +1 more source

A Study on Malware and Malware Detection Techniques [PDF]

International Journal of Education and Management Engineering, 2018
openaire   +1 more source

Risiken der Nichterkennung von Malware in komprimierter Form

, 2004
Maliziöse Software (Malware) gefährdet die Vertraulichkeit, Integrität und die Verfügbarkeit von Informatiksystemen auf verschiedene Art und Weise. In diesem Beitrag wird der Frage nachgegangen, inwiefern durch Malware in komprimierter Form Risiken ...
Fangmeier, Heiko, Messerschmidt, Michel, Seedorf, Jan, Müller, Fabian   +3 more
core  

Self-Organizing Neural Grove for Malware Detection in IoT Edge Devices. [PDF]

Sensors (Basel)
Inoue H, Komura T, Hashimoto I.
europepmc   +1 more source

Malware detection in IoT networks with CNNs and integrated feature engineering. [PDF]

Sci Rep
Abd-Ellah MK, Alsayed NA, Elkomy OM, El-Hady WM.   +3 more
europepmc   +1 more source

HybFusion: A holistic Android malware detection framework with advanced feature fusion and ensemble learning. [PDF]

PLoS One
Minh Manh V, Do Xuan C, Van NTK.
europepmc   +1 more source

A deep learning-based IoT malware detection approach for electric vehicle charging stations. [PDF]

Sci Rep
Xia L, Chen Y, Han L.
europepmc   +1 more source

Reassessing feature-based Android malware detection in a contemporary context. [PDF]

PLoS One
Muzaffar A, Ragab Hassen H, Zantout H, Lones MA.   +3 more
europepmc   +1 more source

OmBNNet: a resource-efficient FPGA-based obfuscated malware detection method using binarized neural network. [PDF]

Sci Rep
Das K, Borah BB, Bhattacharyya DK, Kalita J.   +3 more
europepmc   +1 more source