Towards Smartphone Operating System Identification Academic Article

abstract

• IEEE Smartphone reconnaissance, the first step to launch security attacks to a target smartphone, enables an adversary to tailor attacks by exploiting the known vulnerabilities of the target system. We investigate smartphone OS identification with encrypted traffic in this paper. Four identification algorithms based on the spectral analysis of the encrypted traffic are proposed. The identification algorithms are designed for high identification accuracy by removing noise frequency components and for high efficiency in terms of computation complexity. We evaluate the identification algorithms with smartphone traffic collected over three months. The experiment results show that the algorithms can identify the smartphone OS accurately. The identification accuracy can reach 100% with only 30 seconds of smartphone traffic.

authors

• Bettati, Riccardo

published proceedings

• IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING

author list (cited authors)

• Zhu, Y. e., Ruffing, N., Gurary, J., Guan, Y., & Bettati, R.

citation count

• 0

complete list of authors

• Zhu, Ye||Ruffing, Nicholas||Gurary, Jonathan||Guan, Yong||Bettati, Riccardo

publication date

• January 2021

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Dependable and Secure Computing  Journal

keywords

• Cryptography
• Frequency-domain Analysis
• Identification
• Observers
• Reconnaissance
• Streaming Media
• Tcpip
• Timing

Digital Object Identifier (DOI)

• 10.1109/TDSC.2019.2892482

start page

• 411

end page

• 425

volume

• 18

issue

• 1

URL

• http://dx.doi.org/10.1109/tdsc.2019.2892482