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Performability analysis of services in a software-defined networking adopting time-based moving target defense mechanisms

Published: 30 March 2020 Publication History

Abstract

Moving target defense (MTD) has been developed as an emerging technology to enhance system/network security by randomly and continuously changing attack surface. Despite the significant progress of recent efforts in analyzing the security effectiveness of MTD mechanisms, critical gaps still exist in terms of the impact of running MTD mechanisms on system performance and dependability, exposing a critical design tradeoff between security and performance. To investigate the tradeoff, we propose performability models for evaluating services hosted in software-defined networks with a time-based MTD mechanism being deployed. We developed analytical models for evaluating key performability metrics, in terms of response time, throughput, availability, host utilization, a number of requests lost, and cost (i.e., energy consumption plus profits lost due to dropped jobs). Our results showed that using the time-based MTD mechanism can (1) improve service response time and host utilization; (2) introduce a higher number of requests lost and higher overall cost; and (3) reduce service availability while still handling most of the jobs without much performance degradation.

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        cover image ACM Conferences
        SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing
        March 2020
        2348 pages
        ISBN:9781450368667
        DOI:10.1145/3341105
        © 2020 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the United States Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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        Published: 30 March 2020

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        Author Tags

        1. moving target defense
        2. performability
        3. petri nets
        4. software-defined networking

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        March 30 - April 3, 2020
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        • (2024)Cost-Effective Defense Timing Selection for Moving Target Defense in Satellite Computing SystemsComputational Science – ICCS 202410.1007/978-3-031-63749-0_16(224-239)Online publication date: 28-Jun-2024
        • (2022)Edge Computing on Cooperative Host Security Defense System Based on Social IoT SystemsInternational Journal of Distributed Systems and Technologies10.4018/IJDST.30795613:7(1-21)Online publication date: 2-Sep-2022
        • (2022)Evaluating Performance and Security of a Hybrid Moving Target Defense in SDN Environments2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS)10.1109/QRS57517.2022.00037(276-286)Online publication date: Dec-2022
        • (2022)Security Modeling and Analysis of Moving Target Defense in Software Defined Networks2022 IEEE 27th Pacific Rim International Symposium on Dependable Computing (PRDC)10.1109/PRDC55274.2022.00028(141-151)Online publication date: Nov-2022
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        • (2022)Performability evaluation of switch-over Moving Target Defence mechanisms in a Software Defined Networking using stochastic reward netsJournal of Network and Computer Applications10.1016/j.jnca.2021.103267199:COnline publication date: 1-Mar-2022
        • (2022)Automated benchmark network diversification for realistic attack simulation with application to moving target defenseInternational Journal of Information Security10.1007/s10207-021-00552-921:2(253-278)Online publication date: 1-Apr-2022
        • (2021)Performance impact analysis of services under a time-based moving target defense mechanismThe Journal of Defense Modeling and Simulation: Applications, Methodology, Technology10.1177/1548512921103693720:1(41-56)Online publication date: 18-Aug-2021
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