Self-Healing Cyber Resilient Framework for Software Defined Networking-enabled Energy Delivery System

Hasan, K., Shetty, S., Hassanzadeh, A., Salem, M.B. and Chen, J.
Citation:

To appear, 2nd IEEE Conference on Control Technology and Applications (IEEE CCTA '18), Copenhagen, Denmark, August 21 - 24, 2018.

Abstract:

Software defined networking (SDN) is a networking paradigm to provide automated network management at run time through network orchestration and virtualization. SDN can also enhance system resilience through recovery from failures and maintaining critical  operations during cyber attacks. SDN’s selfhealing mechanisms can be leveraged to realized autonomous attack containment, which dynamically modifies access control rules based on configurable trust levels. In this paper, we present an approach to aid in selection of security countermeasures dynamically in an SDN enabled Energy Delivery System (EDS) and achieving tradeoff between providing security and QoS. We present the modeling of security cost based on end-to-end packet delay and throughput. We propose a non-dominated sorting based multi-objective optimization framework which can be implemented within an SDN controller to address the joint problem of optimizing between security and QoS parameters by alleviating time complexity at O(MN2), where M is the number of objective functions and N is the number of population for each generation respectively. We present simulation results which illustrate how data availability and data integrity can be achieved while maintaining QoS constraints. 

Publication Status:
To Appear
Publication Type:
Proceedings
Publication Date:
08/24/2018
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