Abstract
Malicious code has posed a severe threat to modern society. Delivering antivirus program to networks is an important task of a cybersecurity company. As the bandwidth resource in a company is limited and precious, cybersecurity companies have to make a tradeoff between the impact(i.e. the economic loss) of malicious codes and the bandwidth assigned to transmit the antivirus programs. This paper addresses the malicious code and bandwidth tradeoff(MCBT) problem. By developing a novel malicious code and antivirus program interacting model, the total loss, which is the sum of the bandwidth usage fee and the economic loss, is quantified. On this basis, the MCBT problem is modelled as a constrained optimization problem that we refer to as the MCBT model, where the independent variable stands for bandwidth, and the objective function stands for the total loss. Some optimal bandwidth is determined by solving the MCBT model. Based on this, we propose a heuristic algorithm named DOWNHILL, which outperforms random strategies. Finally, the influence of some factors on the optimal bandwidth and the corresponding optimal total loss is uncovered through numerical simulations. To our knowledge, this is the first time the MCBT problem is treated in this way.
Highlights
The normal operation of modern society relies largely on computer networks
We model the malicious code and bandwidth tradeoff (MCBT) problem as a minimization problem, where the independent variable stands for the bandwidth, and the objective function stands for the total loss that is the sum of the bandwidth usage fee and the economic loss
Θ = 1, and the blue line represents the results with θ = 2, respectively. Based on these and other similar numerical simulations, we conclude that the optimal bandwidth xD and the corresponding optimal total loss C(xD) are both increasing with increase of malicious code injection rate
Summary
The normal operation of modern society relies largely on computer networks. On a daily basis, people acquire information and knowledge through the Web, communicate with each other through online social networks, and buy goods through electronic payment [1]. J. Bi et al.: Cost-Effective Algorithm for Selecting Optimal Bandwidth to Clear Malicious Codes cybersecurity companies have to make a tradeoff between the economic loss and the bandwidth assigned for antivirus programs. Bi et al.: Cost-Effective Algorithm for Selecting Optimal Bandwidth to Clear Malicious Codes cybersecurity companies have to make a tradeoff between the economic loss and the bandwidth assigned for antivirus programs We refer to this problem as the malicious code and bandwidth tradeoff (MCBT) problem. We examine the influence of some factors on the optimal bandwidth and the corresponding optimal total loss through numerical simulations This potentially provides cybersecurity companies with knowledge to quickly take measures against malicious codes.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
