Results 81 to 90 of about 4,106 (161)

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

MalFormer: A Novel Vision Transformer Model for Robust Malware Analysis

IEEE Access
As traditional signature-based malware analysis struggles to detect malware variants, image-based malware analysis has been researched to overcome these limitations.
In-Woong Jeong, Han-Ju Lee, Gwang-Nam Kim, Seok-Hwan Choi   +3 more
doaj   +1 more source

Efficient feature ranked hybrid framework for android Iot malware detection. [PDF]

Sci Rep
Saeed NH, Hamza AA, Sobh MA, Bahaa-Eldin AM.   +3 more
europepmc   +1 more source

Enhancing security in IoMT using federated TinyGAN for lightweight and accurate malware detection. [PDF]

Sci Rep
S D, Shankar MG, Daniel E, R BGV.
europepmc   +1 more source

Improving malware detection performance using hybrid deep representation learning with heuristic search algorithms. [PDF]

Sci Rep
Anuradha A, Chouhan AS, Srinivas Rao S.
europepmc   +1 more source

A hierarchical deep learning framework with doubly regularized loss for robust malware detection and family categorization. [PDF]

Sci Rep
Abed Alsaedi S, Alwateer M, Helal Alharbi N, Magdy Balaha H, M Aboelnaga M, Badawy M, A Elhosseini M.   +6 more
europepmc   +1 more source

BERT-spaCy hybrid NLP and blockchain-enhanced adaptive CTI for IOC extraction and threat prediction. [PDF]

Sci Rep
Mishra S, Alfahidah RA, Alharbi F.
europepmc   +1 more source