A Temporal Network Covert Channel Detection Method Based on Perceptual Hash
A covert channel and perceptual hash technology, applied in the field of network information security, can solve problems such as low detection efficiency, achieve the effect of improving operation efficiency, improving robustness and detection efficiency, and resisting network delay
Active Publication Date: 2021-06-29
HUAQIAO UNIVERSITY
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The detection method of information entropy and conditional correction entropy is currently recognized as one of the most effective detection methods, which can detect most of the temporal network covert channels, but this detection method is easily affected by the sample size of the covert channel data, that is, in the covert channel The detection efficiency is very low when the channel data samples are small
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[0030] The present invention will be further described below through specific embodiments.
[0031] A time-based network covert channel detection method based on perceptual hash of the present invention:
[0032] In the first aspect, starting from the shape and regularity of the two major network traffic characteristics of the temporal network covert channel, the corresponding spectral energy sensing features and spectral entropy sensing features are extracted to improve the accuracy of detection and reduce the false detection rate.
[0033] In the second aspect, combined with the digest feature of perceptual hashing technology, the complexity of the detection method is reduced and the operating efficiency of the detection method is improved.
[0034] The third aspect combines the robustness of perceptual hashing technology to improve the practical effect of detection methods in complex and changeable network environments.
[0035] The specific method is as follows:
[0036]...
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The invention discloses a time-type network covert channel detection method based on perceptual hash, which belongs to the technical field of network information security. The present invention extracts the inter-packet delay IPD sequence of the known time-type covert channel, performs three-level discrete wavelet transform on the IPD sequence to obtain its spectral coefficient, and calculates the spectrum from the time domain and frequency domain characteristics of the covert channel Two types of perceptual features, energy and spectral entropy. In order to improve the efficiency of the detection method, under the premise of ensuring the positive detection rate, the two types of perceptual features are compressed as much as possible to obtain a comprehensive perceptual hash sequence, and at the same time, it is added to the real-time time-based covert channel detection library to achieve The purpose of real-time detection. The present invention solves the problems of high misjudgment rate and missed detection in the existing technology for detecting time-based network covert channels, realizes the application of real-time detection of time-based network covert channels, and improves the positive detection of detection methods in real network environments efficiency and robustness.
Description
technical field [0001] The invention relates to a time-type network covert channel detection method based on perceptual hash, belonging to the technical field of network information security. Background technique [0002] With the development of the international information industry, traditional paper materials are replaced by digital media materials. In the network information world, the information carried by these digital media materials can be accessed, shared and processed through the network. While bringing great convenience to people, security issues such as information leakage and network attacks are also becoming more and more prominent. As a kind of steganographic technology, network covert channel makes it extremely easy to leak secret information (such as national, military secrets, personal privacy and commercial secrets, etc.), causing great network threats and hidden dangers. [0003] Network covert channels are mainly divided into storage network covert ch...
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IPC IPC(8): H04L29/06H04L9/32
CPCH04L9/3297H04L63/1408
Inventor 陈永红王林帆谢锦璞王哲
Owner HUAQIAO UNIVERSITY