Abstract

To restrain escalating computer viruses, new virus patches must be constantly injected into networks. In this scenario, the patch-developing cost should be balanced against the negative impact of virus. This article focuses on seeking best-balanced patch-injecting strategies. First, based on a novel virus-patch interactive model, the original problem is reduced to an optimal control problem, in which (a) each admissible control stands for a feasible patch-injecting strategy and (b) the objective functional measures the balance of a feasible patch-injecting strategy. Second, the solvability of the optimal control problem is proved, and the optimality system for solving the problem is derived. Next, a few best-balanced patch-injecting strategies are presented by solving the corresponding optimality systems. Finally, the effects of some factors on the best balance of a patch-injecting strategy are examined. Our results will be helpful in defending against virus attacks in a cost-effective way.

Highlights

  • Computer networks bring huge convenience to our work and life [1, 2]

  • We refer to a dynamic patch-injecting strategy that achieves the best balance between the two aspects as a best-balanced patch-injecting strategy, and we refer to the problem of seeking best-balanced patch-injecting strategies as the viruspatch tradeoff (VPT) problem

  • Based on a novel virus-patch interactive model, the original problem is reduced to an optimal control problem which we refer to as the VPT control problem, in which (a) each admissible control stands for a feasible patch-injecting strategy and (b) the objective functional measures the balance of a feasible patch-injecting strategy

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Summary

Introduction

Computer networks bring huge convenience to our work and life [1, 2]. digital viruses can propagate rapidly through computer networks, posing a severe threat to human society. To restrain evolving computer viruses, new virus patches must be constantly injected into networks. In this scenario, there is an obvious conflict between the patch-developing cost and the impact of virus; reducing the former would increase the latter, whereas mitigating the latter would enhance the former. The patch-developing cost should be balanced against the impact of virus. The effects of some factors on the best balance of a patch-injecting strategy are examined. Security and Communication Networks and solve the VPT control problem, respectively.

Related Work
The Modeling of the VPT Problem
Theoretical Study of the VPT Control Problem
Examples of Best-Balanced Patch-Injecting Strategy
Further Discussions
Concluding Remarks
Full Text
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