Dissertation/Thesis Abstract

Detecting attacks in building automation system
by Nama, Sumanth, M.S., California State University, Long Beach, 2015, 45; 1597784
Abstract (Summary)

Building Automation System (BAS) was proposed to have the automatic centralized control of various appliances in the building such as heating, ventilating, air conditioning and other systems. Providing high security for the network layer in BAS was the major concern in recent times of studies. Researchers have been proposing different authentication protocols to stop the intruders from attacking the network, of which Time Efficient Stream Loss Authentication (TESLA) was the most secured protocol. Apart from its low computational and communicational overhead, there are few possible ways from which an intruder can attack a BAS network. Hence, to overcome this drawback we used a proposed algorithm in this paper, which uses the concept of Zero – Knowledge Protocol (ZKP) in addition to TESLA for security. This combination of ZKP with time synchronization provides high authentication of packets in the network, thus making the network more secure and reliable.

To test the security of the algorithm, we implement different wireless sensor network attacks such as sinkhole attack, and gray hole attack. Our proposed security algorithm is implemented by various WSN’s. We use Network Simulator 2 for simulation of the proposed algorithm. During the simulation, we observe detection of malicious nodes (intruders), thus proving the security of the proposed algorithm that in turn secures BAS.

Indexing (document details)
Advisor: Mozumdar, Mohammad
Commitee: Aliasgari, Mehrdad, Ary, James
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 55/01M(E), Masters Abstracts International
Subjects: Electrical engineering
Publication Number: 1597784
ISBN: 978-1-339-01270-4
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