Results 81 to 90 of about 6,970 (211)

Platform-Independent Malware Analysis Applicable to Windows and Linux Environments [PDF]

, 2020
Chanwoong Hwang, Jun-ho Hwang, Jin Kwak, Taejin Lee   +3 more
openalex   +1 more source

Homology analysis of malware based on ensemble learning and multifeatures.

PLoS ONE, 2019
With the exponential increase in malware, homology analysis has become a hot research topic in the malware detection field. This paper proposes MHAS, a malware homology analysis system based on ensemble learning and multifeatures.
Di Xue, Jingmei Li, Weifei Wu, Qiao Tian, JiaXiang Wang   +4 more
doaj   +1 more source

Comprehensive Analysis of Android Malware detection through Semi-supervised Autoencoder models [PDF]

, 2023
Neda Firoz, Abdullah Bin Firoz, Mohammad Sadman Tahsin   +2 more
openalex   +1 more source

Incremental clustering method based on Gaussian mixture model to identify malware family

Tongxin xuebao, 2019
Aiming at the logical similarity of the behavioral characteristics of malware belonging to the same family,the characteristics of malware were extracted by tracking the logic rules of API function call from the perspective of behavior detection,and the ...
Jianwei HU, Xin CHE, Man ZHOU, Yanpeng CUI   +3 more
doaj   +2 more sources

Attention-Based Automated Feature Extraction for Malware Analysis. [PDF]

Sensors (Basel), 2020
Choi S, Bae J, Lee C, Kim Y, Kim J.
europepmc   +1 more source

Deep learning based Sequential model for malware analysis using Windows exe API Calls. [PDF]

PeerJ Comput Sci, 2020
Catak FO, Yazı AF, Elezaj O, Ahmed J.
europepmc   +1 more source

Redefining Malware Sandboxing: Enhancing Analysis Through Sysmon and ELK Integration

IEEE Access
In cybersecurity, adversaries employ a myriad of tactics to evade detection and breach defenses. Malware remains a formidable weapon in their arsenal. To counter this threat, researchers unceasingly pursue dynamic analysis, which aims to comprehend and ...
Rasmi-Vlad Mahmoud, Marios Anagnostopoulos, Sergio Pastrana, Jens Myrup Pedersen   +3 more
doaj   +1 more source

AndroDex: Android Dex Images of Obfuscated Malware

Scientific Data
With the emergence of technology and the usage of a large number of smart devices, cyber threats are increasing. Therefore, research studies have shifted their attention to detecting Android malware in recent years.
Sana Aurangzeb, Muhammad Aleem, Muhammad Taimoor Khan, George Loukas, Georgia Sakellari   +4 more
doaj   +1 more source

Obfuscated Malware Detection: Investigating Real-world Scenarios through Memory Analysis [PDF]

S M Rakib Hasan, Aakar Dhakal
openalex   +1 more source

Methods for Detecting Malware Using Static, Dynamic and Hybrid Analysis

, 2023
Alexandru-Radu BELEA
openalex   +2 more sources