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Three-Layered Hybrid Analysis Technique for Android Malware Detection

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Advances in Data Science and Computing Technologies (ADSC 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1056))

Abstract

In these days, smartphones become an essential gadget that can perform multiple routine activities like banking, education, entertainment, etc. A large number of companies are developing new smartphones with latest tools and technologies to attract the people. But data security is one of the main issues which is still a hurdle for all because as the technology is growing malware authors are also developing new malwares to attack these mobile devices to show their existence and sometimes for monetary benefits. Android is most used mobile operating system, and this is the reason it is targeted by malware authors or attackers. Malware detection systems are also developed but still there is need to work on this issue. In this paper, we have proposed a technique that will detect the malwares in Android operating system. It is a hybrid technique based on three-layered crossed analysis. In this, we will apply static analysis on first two layers and dynamic on third layer. Visualization and string search analysis will work on static phase, and system call log analysis will check the behaviour of running application. So, it will cover all the packed application along with code obfuscation, metamorphic malware and zero-day attacks.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Punjabi University, Patiala, Punjab, India

    Tejpal Sharma & Dhavleesh Rattan

  2. Chandigarh Group of Colleges, Landran, Mohali, Punjab, India

    Tejpal Sharma

Authors
  1. Tejpal Sharma
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  2. Dhavleesh Rattan
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Corresponding author

Correspondence to Tejpal Sharma .

Editor information

Editors and Affiliations

  1. School of Computing, Madanapalle Institute of Technology and Science, Angallu, Andhra Pradesh, India

    Basabi Chakraborty

  2. Kazi Nazrul University, Asansol, West Bengal, India

    Arindam Biswas

  3. A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, West Bengal, India

    Amlan Chakrabarti

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sharma, T., Rattan, D. (2023). Three-Layered Hybrid Analysis Technique for Android Malware Detection. In: Chakraborty, B., Biswas, A., Chakrabarti, A. (eds) Advances in Data Science and Computing Technologies. ADSC 2022. Lecture Notes in Electrical Engineering, vol 1056. Springer, Singapore. https://doi.org/10.1007/978-981-99-3656-4_31

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