[HTML][HTML] Early-stage malware prediction using recurrent neural networks

M Rhode, P Burnap, K Jones - computers & security, 2018 - Elsevier
Static malware analysis is well-suited to endpoint anti-virus systems as it can be conducted
quickly by examining the features of an executable piece of code and matching it to …

Marvin: Efficient and comprehensive mobile app classification through static and dynamic analysis

M Lindorfer, M Neugschwandtner… - 2015 IEEE 39th annual …, 2015 - ieeexplore.ieee.org
Android dominates the smartphone operating system market and consequently has attracted
the attention of malware authors and researchers alike. Despite the considerable number of …

AMAL: high-fidelity, behavior-based automated malware analysis and classification

A Mohaisen, O Alrawi, M Mohaisen - computers & security, 2015 - Elsevier
This paper introduces AMAL, an automated and behavior-based malware analysis and
labeling system that addresses shortcomings of the existing systems. AMAL consists of two …

Drishti: an integrated indoor/outdoor blind navigation system and service

L Ran, S Helal, S Moore - Second IEEE annual conference on …, 2004 - ieeexplore.ieee.org
There are many navigation systems for visually impaired people but few can provide
dynamic interactions and adaptability to changes. None of these systems work seamlessly …

Mast: Triage for market-scale mobile malware analysis

S Chakradeo, B Reaves, P Traynor… - Proceedings of the sixth …, 2013 - dl.acm.org
Malware is a pressing concern for mobile application market operators. While current
mitigation techniques are kee** pace with the relatively infrequent presence of malicious …

Efficient dynamic malware analysis based on network behavior using deep learning

T Shibahara, T Yagi, M Akiyama… - 2016 IEEE Global …, 2016 - ieeexplore.ieee.org
Malware authors or attackers always try to evade detection methods to accomplish their
mission. Such detection methods are broadly divided into three types: static feature, host …

Challenges and pitfalls in malware research

M Botacin, F Ceschin, R Sun, D Oliveira, A Grégio - Computers & Security, 2021 - Elsevier
As the malware research field became more established over the last two decades, new
research questions arose, such as how to make malware research reproducible, how to …

Autoreb: Automatically understanding the review-to-behavior fidelity in android applications

D Kong, L Cen, H ** - Proceedings of the 22nd ACM SIGSAC …, 2015 - dl.acm.org
Along with the increasing popularity of mobile devices, there exist severe security and
privacy concerns for mobile apps. On Google Play, user reviews provide a unique …

A static, packer-agnostic filter to detect similar malware samples

G Jacob, PM Comparetti, M Neugschwandtner… - Detection of Intrusions …, 2013 - Springer
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 …

Toward an automatic, online behavioral malware classification system

R Canzanese, M Kam… - 2013 IEEE 7th …, 2013 - ieeexplore.ieee.org
Malware authors are increasingly using specialized toolkits and obfuscation techniques to
modify existing malware and avoid detection by traditional antivirus software. The resulting …