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Android malware analysis and conceptual malware mitigation approaches
2016 International Conference on Information and Communication Technology Convergence (ICTC), 2016Mobile devices have enjoyed unprecedented growth in the last decade. As devices become more ubiquitous and users place more sensitive data on their devices, the amount of mobile malware in the wild has grown. In order to protect mobile device users and their data, mobile security solutions have been brought to market for consumer and enterprise users ...
Tae (Tom) Oh +4 more
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2020
Many APT groups are best known for their professionally developed malware. Sure enough, backdoors and trojans play a central role in attacks. But they also contain a wealth of information that is useful for attribution. Therefore, this chapter looks at how malware is developed and employed, and how analysts find clues about the perpetrators.
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Many APT groups are best known for their professionally developed malware. Sure enough, backdoors and trojans play a central role in attacks. But they also contain a wealth of information that is useful for attribution. Therefore, this chapter looks at how malware is developed and employed, and how analysts find clues about the perpetrators.
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Architecture for automation of malware analysis
2010 5th International Conference on Malicious and Unwanted Software, 2010Malware Analysis is the top trend in the security industry. The number of new malware samples and toolkits for automated malware generation are growing exponentially, whereas the analysis capacity and knowledge are going down. In this paper we are going to discuss the infrastructure we created for malware analysis, with network dissection of traffic ...
Rodrigo Rubira Branco, Udi Shamir
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2022 7th International Conference on Computing, Communication and Security (ICCCS), 2022
Md Yusuf Khalil +4 more
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Md Yusuf Khalil +4 more
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Malware Analysis with Multiple Features
2012 UKSim 14th International Conference on Computer Modelling and Simulation, 2012Malware analysis process is being categorized into static analysis and dynamic analysis. Both static and dynamic analysis have their own strengths and weaknesses. In this paper, we present a tool written in Python programming language called as pingaji, which could assist the work of malware analyst to get the static features of malware.
Muhammad Najmi Ahmad Zabidi +2 more
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Malware Analysis and Detection
Proceedings of the Second International Conference on AI-ML Systems, 2022Hemant Rathore, Mohit Sewak
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An Analysis of Android Malware Behavior
2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), 2018Android is dominating the smartphone market with more users than any other mobile operating system. But with its growing popularity, interest from attackers has also increased, as the number of malicious applications keeps on rising. To know more about these applications, investigation of their behavior has become very important.
Fehmi Jaafar +2 more
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An Empirical Analysis of Malware Blacklists
PIK - Praxis der Informationsverarbeitung und Kommunikation, 2012Besides all the advantages and reliefs the Internet brought us over the years, there are also a lot of suspicious and malicious activities taking place. Attackers are constantly developing new techniques to compromise computer systems. Furthermore, there are many malicious servers on the Internet that host, for example, exploits, drive-by download ...
Marc Kührer, Thorsten Holz
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Analysis and Impact of IoT Malware
Proceedings of the 18th Annual Conference on Information Technology Education, 2017As Internet of Things (IoT) devices become more and more prevalent, it is important for research to be done around the security and integrity of them. By doing so, consumers can make well-informed choices about the smart devices that they purchase. This poster presents information about how three different IoT-specific malware variants operate and ...
Joel Margolis +5 more
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Hybrid Analysis and Control of Malware
2010Malware attacks necessitate extensive forensic analysis efforts that are manual-labor intensive because of the analysis-resistance techniques that malware authors employ. The most prevalent of these techniques are code unpacking, code overwriting, and control transfer obfuscations.
Kevin A. Roundy, Barton P. Miller
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