Preventing Black Hole Attack in Wireless Sensor Network Using HMM

Kalkha, Hanane; Satori, Hassan; Satori, Khalid

doi:10.1016/j.procs.2019.01.028

Cited by 42 publications

(22 citation statements)

References 19 publications

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“…Then it takes in each and every data packet directed to that target node. It is hard to detect black hole nodes that use a better sequence number especially if the network's sequence number is close to the one utilized by the attacker [3,15,24].…”

Section: ) Black Holementioning

confidence: 99%

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An end to end key establishment scheme for detecting black hole attacks in mobile ad hoc networks

Mahmood

Majeed

Shakir

2021

IJEECS

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<p>The wireless technology is in consistent and rapid development in this century such that it produces fast data rate and strong connectivity. Mobile ad hoc network (MANET) is an independent network wherein nodes function as both host and router. Routing protocols in MANET are prone to different attacks. Malicious nodes usually interfere the process of establishing routes and make it hard to build a valid route. In the literature, different mechanisms proposed to prohibit black hole attacks in which an adversary node blindly drops data packets. In this paper, a study is fulfilled of the advantages and disadvantages of some of the protocols presented in the literature and a novel method proposed that detects black hole attacks. A thorough, precise, and theoretical analysis is presented to show how the proposed method can prevent malicious nodes from impersonating benign nodes. A theoretical compareison conducted between the proposed method and some of the other methods presented in the literature. The comparison shows that the attacks exist on these protocols are detected and prevented by the proposed protocol.</p>

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Section: ) Black Holementioning

confidence: 99%

“…Kalkha et al in [15] presented a protocol that makes use of black hole prevention technique to identify adversarial nodes using Hidden Marcov Model. Their method works in two modules namely, detection and decision-making.…”

Section: Related Workmentioning

confidence: 99%

An end to end key establishment scheme for detecting black hole attacks in mobile ad hoc networks

Mahmood

Majeed

Shakir

2021

IJEECS

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“…The method should be such that it can fight for the path link break under difficult conditions between the starting and the ending pint in the path during the communication [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Mitigate Wormhole Attack and Blackhole Attack Using Elliptic Curve Cryptography in MANET

Shukla¹,

Joshi²,

Singh³

2021

Wireless Pers Commun

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Numerous network can be connected by using the mobile ad hoc network. It can have security attacks like the worm hole, denial of service attack, jellyfish and also the blackhole. During this they take a path which is the shortest for the place where it has to reach. During sending of message two types of attacks are generally seen such as the blackhole attack and the wormhole attack. In this research we have tried to focus on two major attacks such as the black hole and the worm hole attack. In this we have used two types of protocol such as the AODV whose other name is SWBAODV and the scalable-dynamic elliptic curve cryptography. During the use the prime numbers are selected at random. We can also choose certain specific prime number. Moreover the security level does not depend on the size of the key. Keeping A as worm hole and B as the black hole we have made a two dimensional vector function named as F [A, B]. Two types of study is done by us in our research such as the with attack and without attack. In case of no attack study we have shown graphically using the AODV and the in case of attack we have given it as the BAODV and also the WAODV. Here we have applied a specific method SWBAODV to our selected attack case. The results were found to be interesting for the case of, packet delivery ratio and end to end delay was near 188.40 on comparing it with the BAODV and the WAODV. It has shown 51.38% more value compared to the BAODV and WAODV. There has been a drastic fall in the value of delay and it reached to a 63.2 for BAODV to WAODV. The other two things which we have discussed here is the consumption of energy and the overhead routing. The results in case of SWBAODV were good compared with the consumption of energy and save about 73.52% with the attacked case and around 69.35% with the routing done on the BAODV and WAODV. From our study we were able to say that it will give protection to the (MANET).

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“…The dataset used in this paper contains four types of DoS [18] attack: Grayhole, Blackhole, Flooding and TDMA [19][20]. By applying suitable data mining techniques, it is possible to actively detect intrusion in network because it helps to discover patterns in large datasets [21].…”

Section: Introductionmentioning

confidence: 99%

Data mining approach to analyzing intrusion detection of wireless sensor network

Rezvi

Moontaha

Trisha

et al. 2021

IJEECS

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<span>Wireless sensor network (WSN) is a collection of wireless sensor nodes which are distributed in nature and a base station where the dispersed nodes are used to monitor and the physical conditions of the environment is recorded and then these data are organized into the base. Its application has been reached out from critical military application such as battlefield surveillance to traffic, health, industrial areas, intruder detection, security and surveillance. Due to various features in WSN it is very prone to various types external attacks. Preventing such attacks, intrusion detection system (IDS) is very important so that attacker cannot steal or manipulate data. Data mining is a technique that can help to discover patterns in large dataset. This paper proposed a data mining technique for different types of classification algorithms to detect denial of service (DoS) attacks which is of four types. They are Grayhole, Blackhole, Flooding and TDMA. A number of data mining techniques, such as KNN, Naïve Bayes, Logistic Regression, support vector machine (SVM) and ANN algorithms are applied on the dataset and analyze their performance in detecting the attacks. The analysis reveals the applicability of these algorithms for detecting and predicting such attacks and can be recommended for network specialist and analysts. </span>

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Preventing Black Hole Attack in Wireless Sensor Network Using HMM

Cited by 42 publications

References 19 publications

An end to end key establishment scheme for detecting black hole attacks in mobile ad hoc networks

An end to end key establishment scheme for detecting black hole attacks in mobile ad hoc networks

Mitigate Wormhole Attack and Blackhole Attack Using Elliptic Curve Cryptography in MANET

Data mining approach to analyzing intrusion detection of wireless sensor network

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