Towards Smartphone Operating System Identification Academic Article uri icon


  • 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.

published proceedings


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