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An end-to-end covert channel via packet dropout for mobile networks

Author

Listed:
  • Yu-an Tan
  • Xinting Xu
  • Chen Liang
  • Xiaosong Zhang
  • Quanxin Zhang
  • Yuanzhang Li

Abstract

Voice over Long-Term Evolution enables reliable transmission among enormous Internet of Things devices, by providing end-to-end quality of service for Internet protocol–based services such as audio, video, and multimedia messaging. The research of covert timing channels aims at transmitting covert message stealthily to the receiver using variations of timing behavior. Existing approaches mainly modulate the covert message into inter-packet delays of overt traffic, which are not suitable for Voice over Long-Term Evolution, since most of the inter-packet delays of Voice over Long-Term Evolution traffic are of regular distribution, and any modification on inter-packet delays is easy to be detected. To address the issue, in this work, we propose a novel covert timing channel for the video stream in Voice over Long-Term Evolution, which modulates the covert message by deliberately dropping out video packets. Based on the two-dimensional mapping matrix, the blocks of covert message are mapped into dropout-packet sequence numbers. To recover the covert message, the receiver retrieves the sequence numbers of lost packets and identifies them to be translated into blocks of the covert message. To evaluate our scheme, the simulations with different packet loss rates are conducted to validate the undetectability, throughput, and robustness, finally, the results show that this scheme is effective and reliable.

Suggested Citation

  • Yu-an Tan & Xinting Xu & Chen Liang & Xiaosong Zhang & Quanxin Zhang & Yuanzhang Li, 2018. "An end-to-end covert channel via packet dropout for mobile networks," International Journal of Distributed Sensor Networks, , vol. 14(5), pages 15501477187, May.
  • Handle: RePEc:sae:intdis:v:14:y:2018:i:5:p:1550147718779568
    DOI: 10.1177/1550147718779568
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    References listed on IDEAS

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    1. Zhu, Ruijin & Zhang, Baofeng & Mao, Junjie & Zhang, Quanxin & Tan, Yu-an, 2017. "A methodology for determining the image base of ARM-based industrial control system firmware," International Journal of Critical Infrastructure Protection, Elsevier, vol. 16(C), pages 26-35.
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