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Title
A HYBRID RANDOM WALK ASSISTED ZONE-BASED CLONE NODE DETECTION PROTOCOL IN STATIC WIRELESS SENSOR NETWORKS
Author(s)
Muhammad Numan
Abstract
Wireless sensor networks (WSNs) are typically deployed in harsh and insecure environments, where the sensor nodes are generally unshielded or not tamper-resistance. As a result, WSNs suffer from such attack known as clone node or node replication attack. This attack is simply done by physically capturing the legitimate node in the network and then creating a clone with the same ID of the legitimate node. Moreover, these clones can be re-programmed for internal attacks, such as black-hole and wormhole attack, DoS attack, extract data from the network, injecting false data, disconnect the legitimate nodes through voting schemes etc. After taking control, the adversary created multiple clones on the network for various malicious activities. Therefore, clone attack is considered extremely effective because cloned devices with real information are considered real devices that can expose different protocols and sensor applications. A Systematic Literature Review (SLR) has been developed with the subject matter through which we identified the most likely solutions to encounter clone attacks are witness node based techniques. However, they have some notable weaknesses that need to be overcome and detect clones in a more effective and efficient way. In view of the disadvantages of existing techniques based on witness nodes, this work presents a distributed technique called Hybrid Random Walk assisted Zone-Based (HRWZ) for the detection of clone nodes in static WSNs. The method is based on the Claimer-ReporterWitness (CRW) framework. In HRWZ the network is divided into zones and a random walk approach called single stage memory random walk has been used for random selection of claimer, reporter and Zone-Leader nodes, which solved the usual problem of a simple or pure random walk. In HRWZ, Zone-Leaders are responsible for clone nodes detection locally and globally in the network. HRWZ is simulated under different settings to compare the clone detection probability, communication, memory and computation costs, with three witness node based techniques, such as RM, LSM, and RAWL. The simulation results confirm the improved performance and reliability of the proposed HRWZ technique. This scheme not only reduces the communication and storage costs, but also provides an effective method of Zone-Leader selection for high detection probability of clones. Keywords: Wireless Sensor Network, Clone Node Detection, Systematic Literature Review, Challenges
Type
Thesis/Dissertation MS
Faculty
Engineering and Computer Science
Department
Computer Science
Language
English
Publication Date
2020-06-17
Subject
Computer Science
Publisher
Contributor(s)
Muhammad Numan, Dr. Fazli Subhan
Format
PDF
Identifier
Source
Relation
Coverage
Rights
NUML, Islamabad
Category
Description
Attachment
Name
Timestamp
Action
b3127226e9.pdf
2020-08-04 22:59:39
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