Impact of Blackhole and Rushing Attack on the Location-Based Routing Protocol for Wireless Sensor Networks

Shyamala, R.; Valli, S.

doi:10.1007/978-3-642-31513-8_36

Cited by 9 publications

(6 citation statements)

References 11 publications

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“…The two algorithms rely on historical records, thus they are unreliable over a long time. In [20], a centralized method based on geographic location is proposed for detecting Sybil attacks in mobile sensor networks including three phases of clustering, selecting nodes nearby Sybil nodes, and routing procedures. Obviously, the method is not proper.…”

Section: Methods In Mobile Iotmentioning

confidence: 99%

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A Novel Sybil Attack Detection Scheme in MobileIoT Based on Collaborate Edge Computing

Yan

Jiang

Lin

et al. 2022

Preprint

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Background: The Internet of things (IoT) connects all items to the Internet through information-sensing devices to exchange information for intelligent identification and management. Sybil attack is a famous and crippling attack in IoT. Most of the previous methods of detecting Sybil attacks in IoT mainly focus on static IoT while there are very rare methods applicable to mobile IoT. Results: In this paper, a novel, lightweight, and distributive detection scheme based on edge computing is proposed for detecting Sybil attacks in mobile IoT. In the proposed scheme, detection consists of two rounds. In each round, member nodes are required to send packets to edge nodes. Edge nodes calculate a possible interval of the received signal strength indication (RSSI) from the first round and check whether the RSSI from the second round is in the interval to detect Sybil attacks. Extensive experimental studies are included to show that the presented approach outperforms many existing approaches in terms of true detection and false detection rates.

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Section: Methods In Mobile Iotmentioning

confidence: 99%

“…In [13,14,18,19,20,21,22,23,24,25], algorithms are proposed to detect Sybil attacks in mobile IoT. Work [13] proposed two Sybil attack detection methods called PASID and PASID-GD based on observer monitoring.…”

Section: Methods In Mobile Iotmentioning

confidence: 99%

A Novel Sybil Attack Detection Scheme in MobileIoT Based on Collaborate Edge Computing

Yan

Jiang

Lin

et al. 2022

Preprint

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“…By all the number of benefits that has been provided by the architecture [3,17,19] and therefore SDN has concerned important benefits from industry as well as academic community. The authors [10,11,13] introduced a set of routing attacks in wireless sensor networks and secured routing in [9,12,14] using TESLA based certificates for wireless sensor networks (WSN). The rest of this paper is organized as follows.…”

Section: Software Defined Network (Sdn)mentioning

confidence: 99%

Impact of DoS Attack in Software Defined Network for Virtual Network

Ramachandran¹,

Shanmugam

2016

Wireless Pers Commun

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A virtual network is a computer network which does not contain any physical link between two computational nodes instead they connect through the virtual links. In recent years the virtual network is managed by Software Defined Network (SDN). SDN is one of the most emerging network technologies in the current trends. Most of the companies configure their networks in SDN. It has been found important to understand the security issues that are being raised in any large scale developments from any new technologies that have been raised in recent years. Though the system acquires lot of benefits from SDN the system have to do some little work in security phase. This work confers four kinds of Denial-of-Service (DoS) attacks that are specific to networks in the OpenFlow SDN in different layers. Those attacks are Ping of Death, HTTP Unbearable Load King, SYN flood and Smurf attack. We introduced these attacks in SDN. These have been emulated on Mininet and an analysis is provided that was obtained on the consequence of these attacks. The DoS attack that is more severe than others has been found out and a suitable prevention techniques for that DoS attack is suggested.

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“…There are basically two types of attacks in sensor network e.g. active and passive attacks [2]. The malicious nodes can enhance their attacking capabilities by intruding the private information from mobile codes as well as by accessing the information pertaining to the positioning of the nodes [3].…”

Section: Introductionmentioning

confidence: 99%

MTKD: An Algorithm for Multi-Tier Key Distribution for Securing Group Communication in WSN

Annapurna

Siddappa

2017

IJAAS

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<p>Security is one of the inherent challenges in the area of wireless sensor network. At present, majoroty of the security algorithm are incorporated with massive iterations of cryptography as well as complex mathematical modelling that result in degradation of quality of service. The present paper takes the case study of group communication in wireless sensor network and introduces a significant protocol that assist in generation of joint key with an aid of unique and lightweight cryptography. The outcome of the study was compared with the most significant and standard work of group communication to find that proposed system is in adherence of time and space complexity.</p>

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Impact of Blackhole and Rushing Attack on the Location-Based Routing Protocol for Wireless Sensor Networks

Cited by 9 publications

References 11 publications

A Novel Sybil Attack Detection Scheme in MobileIoT Based on Collaborate Edge Computing

A Novel Sybil Attack Detection Scheme in MobileIoT Based on Collaborate Edge Computing

Impact of DoS Attack in Software Defined Network for Virtual Network

MTKD: An Algorithm for Multi-Tier Key Distribution for Securing Group Communication in WSN

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