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VoNR-IPD: A Novel Timing-Based Network Steganography for Industrial Internet
Security and Communication Networks Pub Date : 2020-06-28 , DOI: 10.1155/2020/8846230
Mingqian Wang 1 , Shuai Cao 1 , Yunliang Wang 1
Affiliation  

As the predominant trade secret of manufacturing enterprises, industrial data may be monitored and stolen by competitive adversaries during the transmission via open wireless link. Such information leakage will cause severe economic losses. Hence, a VoNR-IPD covert timing steganography based on 5G network is proposed in this paper, in which VoNR traffic is employed as the steganographic carrier of covert communication in Industrial Internet. Interference of network jitter noise is fully considered and the high-order statistical properties of jittered VoNR interpacket delays (IPDs) are imitated during the modulation of confidential industrial data. Thus, the generated covert VoNR IPDs can possess consistent statistical properties with the normal case in order to improve undetectability. Besides, the synchronization mechanism of steganographic embedding mode is designed to control the embedding density of industrial data flexibly. The experimental results show that our scheme can resist statistical-based detections and the network noise effectively, which outperforms the existing methods in terms of undetectability and robustness.

中文翻译:

VoNR-IPD:用于工业互联网的基于计时的新型网络隐写技术

作为制造企业的主要商业机密,在通过开放无线链路进行传输期间,竞争对手可能会监视和窃取工业数据。这种信息泄漏将造成严重的经济损失。因此,本文提出了一种基于5G网络的VoNR-IPD隐蔽定时隐写技术,其中VoNR流量被用作工业互联网中隐蔽通信的隐写载体。充分考虑了网络抖动噪声的干扰,并在机密工业数据的调制过程中模仿了抖动的VoNR数据包间延迟(IPD)的高阶统计特性。因此,所生成的隐式VoNR IPD可以具有与正常情况一致的统计属性,以提高不可检测性。除了,设计了隐写方式的同步机制,可以灵活地控制工业数据的嵌入密度。实验结果表明,该方案能够有效地抵抗基于统计的检测和网络噪声,在可检测性和鲁棒性方面均优于现有方法。
更新日期:2020-06-28
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