Next Article in Journal
Human Posture Identification Using a MIMO Array
Previous Article in Journal
2018 Electronics Travel Awards for Postdoctoral Fellows and PhD Students Announcement
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Electronics 2018, 7(3), 36; doi:10.3390/electronics7030036

Analysis of Network Attack and Defense Strategies Based on Pareto Optimum

Science and Technology on Complex Electronic System Simulation Laboratory, Space Engineering University, Beijing 101416, China
Research Administration, University of Montana, Montana, MT 59812, USA
Physics and Astronomy Department, Open University Malaysia, Kuala Lumpur 50480, Malaysia
Author to whom correspondence should be addressed.
Received: 11 February 2018 / Revised: 1 March 2018 / Accepted: 5 March 2018 / Published: 7 March 2018
(This article belongs to the Special Issue Safe and Secure Embedded Systems)
View Full-Text   |   Download PDF [3554 KB, uploaded 8 March 2018]   |  


Improving network security is a difficult problem that requires balancing several goals, such as defense cost and need for network efficiency, to achieve proper results. Modeling the network as a game and using optimization problems to select the best move in such a game can assist network administrators in determining an ideal defense strategy. However, most approaches for determining optimal game solutions tend to focus on either single objective games or merely scalarize the multiple objectives to a single of objective. In this paper, we devise a method for modeling network attacks in a zero-sum multi-objective game without scalarizing the objectives. We use Pareto Fronts to determine the most harmful attacks and Pareto Optimization to find the best defense against those attacks. By determining the optimal solutions through those means, we allow network administrators to make the final defense decision from a much smaller set of defense options. The included experiment uses minimum distance as selection method and compares the results with a minimax algorithm for the determination of the Nash Equilibrium. The proposed algorithm should help network administrators in search of a hands-on method of improving network security. View Full-Text
Keywords: Pareto front; zero-sum game; multi-objective optimization; network security Pareto front; zero-sum game; multi-objective optimization; network security

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Sun, Y.; Xiong, W.; Yao, Z.; Moniz, K.; Zahir, A. Analysis of Network Attack and Defense Strategies Based on Pareto Optimum. Electronics 2018, 7, 36.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Electronics EISSN 2079-9292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top