Results 31 to 40 of about 25,310,274 (105)
International Journal of Computational and Experimental Science and EngineeringDynamic malware analysis plays a pivotal role in modern cybersecurity, offering insights into malware behavior through dynamic execution and network traffic analysis.
Mesut Guven
semanticscholar +1 more source
Advances in Malware Analysis and Detection in Cloud Computing Environments: A Review
International Journal of Safety and Security EngineeringCloud computing, integral for data storage and online services, presents significant advantages over traditional data storage and distribution methods, including enhanced convenience, on-demand storage, scalability, and cost efficiency.
S. M. Rao, Arpit Jain
semanticscholar +1 more source
Artificial Intelligence-Based Malware Detection, Analysis, and Mitigation
Symmetry, 2023 Malware, a lethal weapon of cyber attackers, is becoming increasingly sophisticated, with rapid deployment and self-propagation. In addition, modern malware is one of the most devastating forms of cybercrime, as it can avoid detection, make digital ...
Amir Djenna +3 more
semanticscholar +1 more source
PowerDrive: Accurate De-Obfuscation and Analysis of PowerShell Malware [PDF]
, 2019 PowerShell is nowadays a widely-used technology to administrate and manage Windows-based operating systems. However, it is also extensively used by malware vectors to execute payloads or drop additional malicious contents.
Cara, Fabrizio +3 more
core +2 more sources
Deep learning based Sequential model for malware analysis using Windows exe API Calls
PeerJ Computer Science, 2020 Malware development has seen diversity in terms of architecture and features. This advancement in the competencies of malware poses a severe threat and opens new research dimensions in malware detection.
Ferhat Ozgur Catak +3 more
semanticscholar +1 more source
Android Malware Clustering through Malicious Payload Mining
, 2017 Clustering has been well studied for desktop malware analysis as an effective triage method. Conventional similarity-based clustering techniques, however, cannot be immediately applied to Android malware analysis due to the excessive use of third-party ...
I Santos +7 more
core +1 more source
Sound and Precise Malware Analysis for Android via Pushdown Reachability and Entry-Point Saturation [PDF]
, 2013 We present Anadroid, a static malware analysis framework for Android apps. Anadroid exploits two techniques to soundly raise precision: (1) it uses a pushdown system to precisely model dynamically dispatched interprocedural and exception-driven control ...
Aldous, Petey +6 more
core +2 more sources
Security Toolbox for Detecting Novel and Sophisticated Android Malware
, 2015 This paper presents a demo of our Security Toolbox to detect novel malware in Android apps. This Toolbox is developed through our recent research project funded by the DARPA Automated Program Analysis for Cybersecurity (APAC) project.
Deering, Tom +4 more
core +1 more source
Malware Detection using Machine Learning and Deep Learning
, 2019 Research shows that over the last decade, malware has been growing exponentially, causing substantial financial losses to various organizations. Different anti-malware companies have been proposing solutions to defend attacks from these malware.
A Nappa +6 more
core +1 more source
Eight years of rider measurement in the Android malware ecosystem: evolution and lessons learned [PDF]
, 2018 Despite the growing threat posed by Android malware, the research community is still lacking a comprehensive view of common behaviors and trends exposed by malware families active on the platform.
Stringhini, Gianluca +1 more
core