Abstract
Along with the rapid development in the field of science and innovation, the cell phone became an exceptionally amazing gadget. Nowadays, it is like the miniaturization of computers with many more additional facilities. The smartphone is an integral part of everyone’s life and supports to keep all kinds of information in the form of documents. People use the smartphone for bank transactions, online bookings, buying, etc. But smartphone end users are continuously susceptible due to an increase in malicious applications called malware. Ransomware is a malware which forestalls the communication of an authentic client with the gadget by continually requesting that the client pay a payoff to expel the ransomware. The second behavior of ransomware is to encrypt personal data and files and asks for a ransom to get a decryption key. This malware reaches the smartphone in the form of mobile apps. Therefore, whenever a new app is being installed, it is significant and important to assess its security hazard by examining the mentioned consents and metadata by the application during its installation lifetime. It is possible to collect the information about permissions asked by the installing app and calculate the risk factor depending on the nature of permissions. This work aims to detect malware at kernel, application, user, and package level for android smartphones. It is also referred to as multi-level malware detection. It detects misbehavior of android apps during its first-time installation and calculates security risk score at runtime. If a risk is observed, then it stops the installation and removes the susceptible application.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yang, T., Yang, Y.: Automated detection and analysis for Android Ransomware. In: International Conference on High Performance Computing and Communications, USA, 2015, pp. 1338–1344. ISBN: 978-1-4799-8937-9
Felt, A.P., Finifter, M.: A survey of mobile malware in the wild. ACM workshop on Security and privacy in smartphones and mobile devices, USA, 2011, pp. 3–14.ISBN: 978-1-5090-0990-9
Mercaldo, F., Nardone, V.: Ransomware inside out. In: 11th International Conference on Availability, Reliability and Security (ARES), Austria, 2016, pp. 628-638. ISBN: 978-1-5090-0990-9
Mercaldo, F., Canfora, G.: An hmm and structural entropy-based detector for android malware: an empirical study. Comput. Secur. 61, 1–18 (2016)
Aldwairi, M., Masri, R.: Automated malicious advertisement detection using VirusTotal, URLVoid, and TrendMicro. In: 8th International Conference on Information and Communication Systems (ICICS) Jordan, 2017, pp. 336–341. ISBN: 978-1-5090-4243-2
Shinde, S.: A review paper on effective behavioral based malware detection and prevention techniques for android platform. Int. J. Eng. Res. Technol., 901–908 (2017). ISBN 0974-3154
Gagneja,K.K.: Knowing the Ransomware and building defense against it—Specific to HealthCare institutes. In: 2017 Third International Conference on Mobile and Secure Services (MobiSecServ) USA, 2017, pp 1–5. ISBN:978-1-5090-3632-5
Savov, V.: Only 7.5 percent of Android phone are running marshmallow (2016). http://www.theverge.com/circuitbreaker/2016/5/4/11589630/android-6-marshmallow-os-distribution-statistics
Normal Permissions https://developer.android.com/guide/topics/security/Normal permissions. html
Dangerous Permissions: https://developer.android.com/guide/topics/security/permissions.html#normal-dangerous
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Dhore, M., Rathod, P. (2021). Ransomware Attack Detection and Prevention for Android Devices. In: Mahalle, P.N., Shinde, G.R., Dey, N., Hassanien, A.E. (eds) Security Issues and Privacy Threats in Smart Ubiquitous Computing. Studies in Systems, Decision and Control, vol 341. Springer, Singapore. https://doi.org/10.1007/978-981-33-4996-4_10
Download citation
DOI: https://doi.org/10.1007/978-981-33-4996-4_10
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-33-4995-7
Online ISBN: 978-981-33-4996-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)