[HTML][HTML] Early-stage malware prediction using recurrent neural networks
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 …
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
Android dominates the smartphone operating system market and consequently has attracted
the attention of malware authors and researchers alike. Despite the considerable number of …
the attention of malware authors and researchers alike. Despite the considerable number of …
AMAL: high-fidelity, behavior-based automated malware analysis and classification
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 …
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 …
dynamic interactions and adaptability to changes. None of these systems work seamlessly …
Mast: Triage for market-scale mobile malware analysis
Malware is a pressing concern for mobile application market operators. While current
mitigation techniques are kee** pace with the relatively infrequent presence of malicious …
mitigation techniques are kee** pace with the relatively infrequent presence of malicious …
Efficient dynamic malware analysis based on network behavior using deep learning
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 …
mission. Such detection methods are broadly divided into three types: static feature, host …
Challenges and pitfalls in malware research
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 …
research questions arose, such as how to make malware research reproducible, how to …
Autoreb: Automatically understanding the review-to-behavior fidelity in android applications
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 …
privacy concerns for mobile apps. On Google Play, user reviews provide a unique …
A static, packer-agnostic filter to detect similar malware samples
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 …
input queues of automated analysis tools. The generation of malware variants is made easy …
Toward an automatic, online behavioral malware classification system
Malware authors are increasingly using specialized toolkits and obfuscation techniques to
modify existing malware and avoid detection by traditional antivirus software. The resulting …
modify existing malware and avoid detection by traditional antivirus software. The resulting …