Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing

Author:

Li Qianmu1,Meng Shunmei1,Sang Xiaonan2,Zhang Hanrui3,Wang Shoujin4,Bashir Ali Kashif5ORCID,Yu Keping6ORCID,Tariq Usman7

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China, and Intelligent Manufacturing Department, Wuyi University, Jiangmen, China

3. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China, and Jiangsu Zhongtian Internet Technology Co., Ltd. Nantong, 226463, China

4. Department of Computing, Macquarie University, Sydney, Australia

5. Department of Computing and Mathematics, Manchester Metropolitan University, UK

6. Global Information and Telecommunication Institute, Waseda University, Japan

7. College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Saudi Arabia

Abstract

Volunteer computing uses computers volunteered by the general public to do distributed scientific computing. Volunteer computing is being used in high-energy physics, molecular biology, medicine, astrophysics, climate study, and other areas. These projects have attained unprecedented computing power. However, with the development of information technology, the traditional defense system cannot deal with the unknown security problems of volunteer computing . At the same time, Cyber Mimic Defense (CMD) can defend the unknown attack behavior through its three characteristics: dynamic, heterogeneous, and redundant. As an important part of the CMD, the dynamic scheduling algorithm realizes the dynamic change of the service centralized executor, which can enusre the security and reliability of CMD of volunteer computing . Aiming at the problems of passive scheduling and large scheduling granularity existing in the existing scheduling algorithms, this article first proposes a scheduling algorithm based on time threshold and task threshold and realizes the dynamic randomness of mimic defense from two different dimensions; finally, combining time threshold and random threshold, a dynamic scheduling algorithm based on multi-level queue is proposed. The experiment shows that the dynamic scheduling algorithm based on multi-level queue can take both security and reliability into account, has better dynamic heterogeneous redundancy characteristics, and can effectively prevent the transformation rule of heterogeneous executors from being mastered by attackers.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

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