CC2: Defending Hybrid Worm on Mobile Networks with Two-Dimensional Circulation Control

Author:

Yang Hailu12ORCID,Chen Deyun12ORCID,Sun Guanglu2ORCID,Ding Xiaoyu3ORCID,Xin Yu4ORCID

Affiliation:

1. Postdoctoral Research Station of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China

2. School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China

3. College of Computer Science and Technology, Harbin Engineering University, Harbin 150080, China

4. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China

Abstract

As the hybrid worm can propagate by both personal social interactions and wireless communications, it has been identified as one of the most severe threats to the mobile Internet. This problem is expected to become worse with the boom of social applications and mobile services. In this work, we study the propagation dynamics of hybrid worms and propose a systematic countermeasure. The system maintains a set of community structure which describes the high-speed infection zone of worms and contains worm propagation by distributing the worm signature to the guard nodes selected from the periphery of each community. For those nodes that are geographically close but located in different communities , we evaluate the communication security between them based on the observed infection history and limit communications between insecure ones to avoid the worm spreading across communities. We also design an efficient worm signature forwarding strategy that enables most nodes in the network to reach an immune state before being infected by the worm. Extensive real-trace driven simulations verify the feasibility and effectiveness of the proposed methods.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. From the Dialectical Perspective: Modeling and Exploiting of Hybrid Worm Propagation;IEEE Transactions on Information Forensics and Security;2023

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