A Safe Offloading Method of Computational Tasks Based on Fuzzy Game

Abstract

The invention discloses a fuzzy game-based method for safely unloading computing tasks of mobile sensing devices, which includes (1) acquiring the unloading opportunity graph of the sensing device, the size of the cache space of its adjacent sensing devices, and the chain of edge computing nodes; (2) Judging whether the relevant offloaded side link channel is attacked, and whether the adjacent sensor device or edge computing node is attacked, and obtains the attack strategy adopted by the invisible attacker; (3) according to the fuzzy game Iterative Computing Sensing Devices v s The maximum benefit when using the alternative task security offloading strategy, until the Nash equilibrium condition is met, select the optimal strategy; (4) optimize the task offloading rate of the sensing device to the edge computing node and the task offloading rate of the adjacent sensing device . The invention shortens the unloading time delay and improves the success rate of task unloading, thereby ensuring that a safe task unloading strategy is realized when the sensing device receives invisible attacks during the unloading of computing tasks.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Things, and more specifically relates to a method for safely offloading calculation tasks of mobile sensing devices based on fuzzy games. Background technique [0002] As a service computing architecture, sensor edge cloud technology provides reliable computing resource services for resource-constrained sensor devices. Sensor devices can offload time-sensitive computing tasks from sensor devices to edge computing nodes for execution, thereby saving Computing resources for sensing devices and improving the processing performance of computing tasks. However, in the open sensing edge cloud computing environment, there are a large number of sensing devices and various types. The edge computing nodes in the sensing edge cloud receive computing tasks offloaded from massive sensing devices. Bandwidth and cache are vulnerable to attacks from malicious devices, thereby degrading the service qualit...

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Problems solved by technology

However, when both the channel and the cache are under attack, how to optimize the computing task offloading strategy to defend against the channel and cache attack, none of the above methods gives a suitable solution

[0007] (3) Although the existing solution methods propose some resource-optimized defense strategies, they do not consider the uncertainty of the attack strength of the invisible attacker, which makes the sensing edge cloud system unable to provide a matching computing task. uninstall strategy

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