Essays about: "static malware analysis"
Showing result 1 - 5 of 8 essays containing the words static malware analysis.
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1. Android Malware Detection Using Machine Learning
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. READ MORE
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2. Static Detection of Malware in Portable Executables
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : The first detected computer virus commenced in the 1970s. Since then, malware infections have grown exponentially along with rapid increases within the digital environment. Malware detection is a challenging task due to the relentless growth in complexity and volume. That is why the need for automated detection arises. READ MORE
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3. Comparing state-of-the-art machine learning malware detection methods on Windows
University essay fromAbstract : Background. Malware has been a major issue for years and old signature scanning methods for detecting malware are outdated and can be bypassed by most advanced malware. With the help of machine learning, patterns of malware behavior and structure can be learned to detect the more advanced threats that are active today. Objectives. READ MORE
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4. An Evaluation of Machine Learning Approaches for Hierarchical Malware Classification
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : With an evermore growing threat of new malware that keeps growing in both number and complexity, the necessity for improvement in automatic detection and classification of malware is increasing. The signature-based approaches used by several Anti-Virus companies struggle with the increasing amount of polymorphic malware. READ MORE
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5. Studying the effectiveness of dynamic analysis for fingerprinting Android malware behavior
University essay from Linköpings universitet/Databas och informationsteknikAbstract : Android is the second most targeted operating system for malware authors and to counter the development of Android malware, more knowledge about their behavior is needed. There are mainly two approaches to analyze Android malware, namely static and dynamic analysis. READ MORE