Impacts and Mitigation of Attacks on Sensor Networks
Abstract
The objective of this effort is to make significant progress towards developing the fundamental theory of cyberattacks on sensor networks employing digital communications, while advancing the state of the art design and analysis approaches for estimation algorithms under attack. The goal was to find advanced signal processing techniques to make the impacts small. If we can develop such technology this would be important for the Army and for all US defense agencies. In the complicated world we live in, we feel this would be an important contribution to guard the safety of our country and we would be very proud of such an accomplishment. This effort is focused on theory, but we must put the theory in place before practical development can take place. In the process we will train the next generation of undergraduate and graduate students to take the next needed steps to implement the theory we are developing. Since there has been so little investigation in the area of attacks on sensor networks deployed for estimation, the possible kinds of attacks, their impacts, the role of the information the attacker has and the impacts of evasive measures taken by the estimation system appear unknown. Thus, our initial work attempted to investigate these issues and to provide some understanding that would guide our future investigations. With a better understanding of these issues, we were able to define much narrower problems where we could pursue optimum processing and its performance, along with bounding the impact of attacks while understanding what kinds of attacks were of the greatest concern. Here we focused on attacks that appear important for some specific scenarios that appear practical but which involve models with reasonable complexity such that analysis is tractable.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 23, 2018
- Accession Number
- AD1054107
Entities
People
- Rick Blum
Organizations
- Lehigh University