Analysis of Wormhole Attack Confirmation System During Email Dumping Attack

Wireless networks are used by everyone for their convenience for transferring packets from one node to another without having a static infrastructure. In WSN, there are some nodes which are light weight, small in size, having low computation overhead, and low cost known as sensor nodes. In literature, there exists many secure data aggregation protocols available but they are not sufficient to detect the malicious node. The authors require a better security mechanism or a technique to secure the network. Data aggregation is an essential paradigm in WSN. The idea is to combine data coming from different source nodes in order to achieve energy efficiency. In this paper, the authors proposed a protocol for worm hole attack detection during data aggregation in WSN. Main focus is on wormhole attack detection and its countermeasures.

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Security Techniques for Wormhole Attack in Wireless Sensor Networks

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.23.11884 ◽

2018 ◽

Vol 7 (2.23) ◽

pp. 59 ◽

Cited By ~ 1

Author(s):

Surinder Singh ◽

Hardeep Singh Saini

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Base Station ◽

Packet Transmission ◽

Wireless Sensor ◽

Security Threat ◽

Wormhole Attack ◽

Protocol Security ◽

Routing Mechanism ◽

Packet Drop

The wireless sensor network has group of sensors which can sense the data and route this data to base station. As there is no physical connection between sensor and base station the important data can be routed without wires. The broadcast nature of wireless sensor network makes it prone to security threat to the valuable data. The attacker node can detect the data by creating their own data aggregation and routing mechanism .The number of attacks can be possible on the network layer. Out of these attacks wormhole is one of the major attack which can change the routing method of the whole wireless sensor network. In this attack,the attacker node can control the packet transmission of whole network and route it to the tunnel of nodes. The major drawback of this attack is to increase the packet drop and disturbing the routing mechanism. A number of security techniques are developed by the researcher to reduce the packet drop ratio and secure the routing mechanism of the network. Out of all thesetechniquesfew related to packet drop ratio are discussed in this paper. TheLightweight countermeasure for the wormhole attack (LITEWORP) based on Dynamic Source routing (DSR) protocol security technique,Delay Per Hop Indication (Delphi) based on AODV(Avoidance Routing Protocol) Protocol security technique and MOBIWORP based on DSRprotocol security technique reduce the packet loss percentage 40%,43% and 35% respectively.

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Detection and Performance Analysis of Wormhole Attack in MANET using DELPHI Technique

International Journal of Security and Its Applications ◽

10.14257/ijsia.2016.10.10.28 ◽

2016 ◽

Vol 10 (10) ◽

pp. 321-330

Author(s):

Sandeep Kumar Arora ◽

Ayushree .

Keyword(s):

Performance Analysis ◽

Delphi Technique ◽

Wormhole Attack ◽

And Performance

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An Intrusion Detection System for Smart Grid Neighborhood Area Network

10.32920/ryerson.14656977.v1 ◽

2021 ◽

Author(s):

Nasim Beigi Mohammadi

Keyword(s):

Intrusion Detection ◽

Smart Grid ◽

Intrusion Detection System ◽

Detection System ◽

Area Network ◽

Wormhole Attack ◽

Detection Systems ◽

Wireless Mesh ◽

First Time ◽

Neighborhood Area Network

Smart grid is expected to improve the efficiency, reliability and economics of current energy systems. Using two-way flow of electricity and information, smart grid builds an automated, highly distributed energy delivery network. In this thesis, we present the requirements for intrusion detection systems in smart grid, neighborhood area network (NAN) in particular. We propose an intrusion detection system (IDS) that considers the constraints and requirements of the NAN. It captures the communication and computation overhead constraints as well as the lack of a central point to install the IDS. The IDS is distributed on some nodes which are powerful in terms of memory, computation and the degree of connectivity. Our IDS uses an analytical approach for detecting Wormhole attack. We simulate wireless mesh NANs in OPNET Modeler and for the first time, we integrate our analytical model in Maple from MapleSoft with our OPNET simulation model.

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