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A Genetic Algorithm-Based Optimization Method for Heterogeneous Redundant Systems

A genetic algorithm and heterogeneous system technology, applied in the direction of genetic rules, genetic models, complex mathematical operations, etc., can solve the problem that the evaluation of the degree of heterogeneity of the execution set stays in the concept

Active Publication Date: 2021-01-05
保定创铭安全咨询服务有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The application of heterogeneous execution sets has been recognized by researchers, but most of the discussions on the evaluation of the degree of heterogeneity of execution sets remain conceptual

Method used

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  • A Genetic Algorithm-Based Optimization Method for Heterogeneous Redundant Systems
  • A Genetic Algorithm-Based Optimization Method for Heterogeneous Redundant Systems
  • A Genetic Algorithm-Based Optimization Method for Heterogeneous Redundant Systems

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Embodiment Construction

[0057] The present invention will be further described below in conjunction with drawings and embodiments.

[0058] Such as figure 1 and 2 As shown, a genetic algorithm-based optimization method for heterogeneous redundant systems includes the following steps:

[0059] The present invention includes similarity calculation and fitness function construction, wherein the similarity is used to evaluate the degree of heterogeneity, and the fitness function is used to heuristically screen high-quality Web heterogeneous executives, specifically including the following steps:

[0060] Step 1, converting the web heterogeneous redundancy model into a vector;

[0061] Step 2. Propose and calculate the similarity definition about heterogeneous redundancy;

[0062] Step 3, construct fitness function;

[0063] Step 4. Screen the genetic algorithm according to the size of the fitness calculated by the fitness function.

[0064] Convert the web heterogeneous redundancy model into a vecto...

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Abstract

The invention discloses a heterogeneous redundant system optimizing method based on a genetic algorithm and is intended to overcome the defect that the prior art provides non-general steps of deficiency estimation on heterogenous degree of a heterogeneous system and non-general traversing schemes. Existing source code detection schemes are reasonably utilized herein first; a subjective judgment mechanism is introduced for a non-detectable scenario; code similarity is calculated; a calculated similarity value is combined with prior knowledge of safety portion of this unit to calculate similarity; a fitness function required by the genetic algorithm is provided according to the similarity; a system to be optimized is substituted to the genetic algorithm under the fitness function so as to carry out optimizing. A web heterogenous system optimized via the method has better defending capacity.

Description

technical field [0001] The invention designs a method for optimizing a heterogeneous redundant system, specifically a method for optimizing a heterogeneous redundant system based on a genetic algorithm. Background technique [0002] The design pattern of heterogeneous redundancy realizes multi-level heterogeneity of server software, file system and operating system on the executive set. Although the design and implementation methods of heterogeneous systems are diverse, and the technologies and means used are different, the goal of heterogeneous systems is to protect the confidentiality of system data from the perspective of intrusion prevention. The heterogeneous executables in the system are the key to shielding attackers from sniffing. The application of heterogeneous execution sets has been recognized by researchers, but most of the discussions on the evaluation of the degree of heterogeneity of execution sets remain conceptual. [0003] references [0004] [1]Schleim...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/16G06N3/12
CPCG06F17/16G06N3/126
Inventor 汤景凡胡恩超张旻姜明梁惠兵
Owner 保定创铭安全咨询服务有限公司