Evaluation of Survivability of the Automatically Obfuscated Android Malware

Malware is a growing threat to all mobile platforms and hundreds of new malicious applications are being detected every day. At the same time, the development of automated software obfuscation techniques allows for the easy production of new malware variants even by attackers with entry-level programming skills. Such obfuscation techniques can evade the signature-based mechanism implemented in current antimalware technology. This paper presents the results of a study that examined how automated obfuscation techniques affect malicious and benign applications by two widely used malware detection approaches, namely static and dynamic analyses. The research explored 5000 samples of malware and benign programs and evaluated the impact of automated obfuscation on Android applications. The experimental results indicated that (1) up to 73% of the reviewed applications “survived” the automated obfuscation; (2) automated obfuscation reduced the detection ratio to 65–85% depending on the obfuscation method used. These findings call for a more active use of advanced malware detection methods in commonly used antivirus platforms. View Full-Text

Keywords: malware; software obfuscation; static analysis; dynamic analysis; malware detection

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Patel, H.; Patel, D.; Ahluwalia, J.; Kapoor, V.; Narasimhan, K.; Singh, H.; Kaur, H.; Reddy, G.H.; Peruboina, S.S.; Butakov, S. Evaluation of Survivability of the Automatically Obfuscated Android Malware. Appl. Sci. 2022, 12, 4969. https://doi.org/10.3390/app12104969

AMA Style

Patel H, Patel D, Ahluwalia J, Kapoor V, Narasimhan K, Singh H, Kaur H, Reddy GH, Peruboina SS, Butakov S. Evaluation of Survivability of the Automatically Obfuscated Android Malware. Applied Sciences. 2022; 12(10):4969. https://doi.org/10.3390/app12104969

Chicago/Turabian Style

Patel, Himanshu, Deep Patel, Jaspreet Ahluwalia, Vaishali Kapoor, Karthik Narasimhan, Harmanpreet Singh, Harmanjot Kaur, Gadi H. Reddy, Sai S. Peruboina, and Sergey Butakov. 2022. "Evaluation of Survivability of the Automatically Obfuscated Android Malware" Applied Sciences 12, no. 10: 4969. https://doi.org/10.3390/app12104969

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