Strategy scheduling method and device based on problem scene and mimicry construction architecture

A scheduling method and technology for scheduling devices, which are applied in multi-programming devices, program startup/switching, program control design, etc., can solve the problem of reduced system security, unfavorable use of mimic voting mechanism, and inability to fully guarantee the diversity of executive bodies, etc. problem, to achieve the effect of improving utilization

Pending Publication Date: 2020-11-13
河南信大网御科技有限公司 +1
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  • Application Information

AI Technical Summary

Problems solved by technology

Although this strategy can effectively realize the dynamic and random changes of the executive body, it cannot fully guarantee the diversity among the executive bodies, which is not conducive to the effective use of the mimic voting mechanism.
The above two strategies work well in an environment where the attack intensity of a single attack method is not high, but in the face of advanced persistent threats or coordinated attacks, it is easy for the attacker to figure out the rotation law, resulting in a decrease in system security

Method used

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  • Strategy scheduling method and device based on problem scene and mimicry construction architecture
  • Strategy scheduling method and device based on problem scene and mimicry construction architecture

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] A policy scheduling method, comprising the following steps:

[0025] When the ruling finds an abnormality, obtain the current problem scene elements and analyze the current problem scene;

[0026] Find problem scenarios similar to the current problem scenario in the problem scenario database. When similar problem scenarios are found, the problem execution body will be offline or cleaned. After the problem execution body is offline, a new execution body will be scheduled from the backup execution body pool to go online. Among them, the newly launched execution body selects the execution body with the best state of the execution body under the current problem scenario.

[0027] Based on the above, the steps to establish the problem scenario database include:

[0028] During the historical operation process, whenever an abnormality is found in the ruling, the problem scene elements are obtained and the problem scene is analyzed; according to the ruling result, combined wi...

Embodiment 2

[0030] This embodiment provides a policy scheduling device, including:

[0031] The problem scenario analyzer, the problem scenario analyzer, is used to establish the problem scenario database; it is also used to analyze the problem scenario according to the obtained problem scenario elements; wherein, the steps of establishing the problem scenario database include: during the historical operation process, whenever the ruling finds When an exception occurs, obtain the problem scene elements and analyze the problem scene; according to the ruling result, combined with historical data, obtain the problem executive status, the problem executive status includes the number and probability of the fault heterogeneous execution body in the problem scene; the problem scene , problem executive status, and problem executive ID are updated to the problem scenario database.

[0032] For the problem scene element:

[0033] If there are executives A, B, and C running online, at a certain tim...

Embodiment 3

[0046] This embodiment provides a mimetic structure, including an input agent, an arbiter, an executive, an output agent, and a feedback scheduler. The scheduling policy of the feedback scheduler adopts the policy scheduling method described in Embodiment 1.

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Abstract

The invention provides a strategy scheduling method and device based on a problem scene and a mimicry construction architecture. The method comprises the following steps: establishing a problem scenedatabase of which each record content comprises a scene, a problem executor state and a problem executor ID; when the judgment finds an exception; analyzing current problem scenarios, searching for aproblem scene similar to the current problem scene, after the similar problem scene is found, enabling the problem executor to be offline or cleaned, scheduling a new executor to be online from the backup executor pool after the problem executor is offline, and selecting the executor with the optimal executor state in the current problem scene by the newly online executor. According to the strategy scheduling based on the problem scene, the scheduling is more targeted, the probability that a new online execution body goes wrong again in the current environment is avoided, and the utilization rate of internal resources of the mimicry construction architecture is improved.

Description

technical field [0001] The present invention relates to the field of mimicry defense, in particular, to a strategy scheduling method, device and mimicry structure based on problem scenarios. Background technique [0002] Policy scheduling is an important link in the negative feedback control mechanism of DHR. Its basic function is to change the assignment relationship of input agents to heterogeneous executives or replace the executives in the service concentration, so as to realize the replacement, offline, service migration and other operations of executives. One of the purposes of introducing the strategy scheduling mechanism is to make the appearance of mimicry more unpredictable and increase the fog of mimicry defense. [0003] There are two main scheduling strategies: the maximum difference scheduling strategy and the uniform random scheduling strategy. The maximum difference scheduling strategy is to select the online scheduling method of the execution body with the ...

Claims

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Application Information

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IPC IPC(8): G06F9/48
CPCG06F9/4881
Inventor 吕青松贾铁振冯志峰魏亚祥翟英博王群锋郭义伟鲍尚策
Owner 河南信大网御科技有限公司
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