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The Case for Robust Adaptation: Autonomic Resource Management is a Vulnerability
Conference proceeding   Peer reviewed

The Case for Robust Adaptation: Autonomic Resource Management is a Vulnerability

Joseph Noor, Ahmed Ali-Eldin, Luis Garcia, Chirag Rao, Venkat R. Dasari, Deepak Ganesan, Brian Jalaian, Prashant Shenoy and Mani Srivastava
MILCOM IEEE Military Communications Conference, Vol.2019-, pp.821-826
IEEE Military Communications Conference
IEEE Military Communications Conference (MILCOM) (Norfolk, Virginia, USA, 11/12/2019–11/14/2019)
2019
DOI: https://doi.org/10.1109/milcom47813.2019.9020984
Web of Science ID: WOS:000554849700135

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Abstract

Autonomic resource management for distributed edge computing systems provides an effective means of enabling dynamic placement and adaptation in the face of network changes, load dynamics, and failures. However, adaptation inand-of-itself offers a side channel by which malicious entities can extract valuable information. An attacker can take advantage of autonomic resource management techniques to fool a system into misallocating resources and crippling applications. Using a few scenarios, we outline how attacks can be launched using partial knowledge of the resource management substrate - with as little as a single compromised node. We argue that any system that provides adaptation must consider resource management as an attack surface. As such, we propose ADAPT(2), a framework that incorporates concepts taken from Moving-Target Defense and state estimation techniques to ensure correctness and obfuscate resource management, thereby protecting valuable system and application information from leaking.

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