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Generation of detectors and detecting method

A detector, a mature detector technology, applied in the fields of instruments, biological models, electrical digital data processing, etc., can solve the problems of low detector generation efficiency, difficult binary strings, redundant detectors, etc., to improve the generation efficiency and detection efficiency, improve comparison performance, and eliminate vulnerabilities.

Inactive Publication Date: 2011-11-16
JIANGSU UNIV
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AI Technical Summary

Problems solved by technology

[0011] To sum up, since the original antigens and antibodies are expressed in the form of binary strings that are difficult to process, the current detector generation methods all have problems of low detector generation efficiency, loopholes and redundant detectors to varying degrees.

Method used

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  • Generation of detectors and detecting method

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Embodiment Construction

[0043] Further description will be given below in conjunction with the examples.

[0044]Known 32-bit binary self character string (assuming that the string contains all self bodies whose length is l): 00101000100100000100001010010011, divide it into subself character string sets S whose length is l=4,

[0045] S={0010, 0101, 1010, 0100, 1000, 0001, 0010, 0100, 1001, 0010, 0100, 1000, 0000, 0000, 0001, 0010, 0100, 1000, 0000, 0001,

[0046] 0010, 0101, 1010, 0100, 1001, 0010, 0100, 1001, 0011}.

[0047] Replacing the self-substring in the set S with a decimal number, the corresponding sub-self string set can be expressed as:

[0048] S={2, 5, 10, 4, 8, 1, 2, 4, 9, 2, 4, 8, 0, 0, 1, 2, 4, 8, 0, 1, 2, 5, 10, 4 ,9,2,4,9,3}

[0049] (1) Generation of detectors

[0050] Since the substring length l=4, the initial detector interval in binary form ranges from 0000 to 1111, ie [0, 15]. Figure 1 shows the initial detector R that conforms to the number field of the above example 1...

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Abstract

The invention relates to generation of detectors and a detecting method. The method comprises the following steps: defining a maximum interval as an initial detector; then carrying out self-tolerance training on the initial detector; according to matching rules, removing a point matching a known self from the detector, simultaneously dividing the interval of the detector from the point to generate two subinterval detectors and recursively detecting each subinterval. The detectors are optimized in the process and the generated mature detectors are finally gathered to be used for system security protection. The invention breaks through the existing detector generation method and matching rules and eliminates loopholes and redundant detectors, thereby further improving the generation efficiency and detection efficiency of the detectors.

Description

technical field [0001] The invention applies various excellent characteristics of the biological immune system to the computer system, and is mainly used to solve practical problems such as computer virus prevention and control, network intrusion detection, etc., belongs to the cross technical field of bioinformatics and computer science, and specifically relates to a detection generation and detection methods. Background technique [0002] The immune system protects the body from external bacteria, viruses, etc., and is able to recognize foreign cells or molecules, and then eliminate these harmful substances from the body, while observing the appearance of abnormal cells in the body, and eliminating cells that have mutated. The primary problem facing immune cells is how to define self / nonself and recognize them. Self / non-self identification is a high-efficiency pattern recognition problem. [0003] At present, the research on the artificial immune system includes two cate...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/00G06F21/24G06F21/56
Inventor 鞠时光夏惠芬蔡涛
Owner JIANGSU UNIV
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