Results 121 to 130 of about 12,725 (233)

A Static, Packer-Agnostic Filter to Detect Similar Malware Sample

, 2012
The steadily increasing number of malware variants is a significant problem, clogging the input queues of automated analysis tools. The generation of malware variants is made easy by automatic packers and polymorphic engines, which produce by encryption ...
Krügel, Christopher, Neugschwandtner, Matthias, Milani Comparetti, Paolo, Jacob, Gregoire, Vigna, Giovanni   +4 more
core  

A Malware Detection System For Android

, 2015
Android security is built upon a permission-based mechanism, which restricts access of third-party Android applications to critical resources on an Android device.
Tchakounté, Franklin
core  

Author Retains Full Rights [PDF]

, 2014
Software and systems complexity can have a profound impact on information security. Such complexity is not only imposed by the imperative technical challenges of monitored heterogeneous and dynamic (IP and VLAN assignments) network infrastructures, but ...
Malware Detection, Early Malware Detection, Giac (gcia Gold Certification, Ad An, An Early   +4 more
core  

Exploiting tactics, techniques, and procedures for malware detection

There has been a meteoric rise in the use of malware to perpetrate cybercrime and more generally, serve the interests of malicious actors. As a result, malware has evolved both in terms of its sheer variety and sophistication.
Sharma, Yashovardhan
core   +1 more source

Malware variant detection [PDF]

, 2012
Malware programs (e.g., viruses, worms, Trojans, etc.) are a worldwide epidemic. Studies and statistics show that the impact of malware is getting worse. Malware detectors are the primary tools in the defence against malware. Most commercial anti-malware
Alzarooni, KMA
core  

MIDALF—multimodal image and audio late fusion for malware detection

EURASIP Journal on Information Security
Malware detection remains a critical challenge in cybersecurity due to the rapid evolution of sophisticated malware and adversarial threats. Traditional detection systems struggle to adapt to dynamic malware behavior and are particularly vulnerable to ...
Setia Juli Irzal Ismail, Hendrawan, Budi Rahardjo, Tutun Juhana, Yasuo Musashi   +4 more
doaj   +1 more source

Detecting Self-Mutating Malware Using Control-Flow Graph Matching

, 2006
Next generation malware will by be characterized by the intense use of polymorphic and metamorphic techniques aimed at circumventing the current malware detectors, based on pattern matching. In order to deal with this new kind of threat, novel techniques
M. Monga, Lorenzo Martignoni, Mattia Monga, Danilo Bruschi, D.M. Bruschi, L. Martignoni   +5 more
core   +1 more source

GNSTAM: Integrating Graph Networks With Spatial and Temporal Signature Analysis for Enhanced Android Malware Detection

IEEE Access
The sophistication of Android malware poses significant threats to user security and privacy. Traditional detection methods struggle with rapid malware evolution and benign application diversity, leading to high false positive rates and limited ...
Yogesh Kumar Sharma, Deepak Singh Tomar, R. K. Pateriya, Surendra Solanki   +3 more
doaj   +1 more source

A Study of Android Malware Detection Techniques in Virtual Environment

, 2016
With the rapid development of mobile environment, cyber-attacks have become more commonplace and more sophisticated. In smartphone operating system market, in particular, Android platform accounts for a large portion (65% or higher).At the same time ...
정현미, 조한진, 김기봉
core  

Malware Detection and Analysis

, 2022
Malicious software poses a serious threat to the cybersecurity of network infrastructures and is a global pandemic in the form of computer viruses, Trojan horses, and Internet worms. Studies imply that the effects of malware are deteriorating.
Suraneni, Namratha
core