A Realistic Modelling of the Sinkhole and the Black Hole Attacks in Cluster-Based WSNs

Abasıkeleş‐Turgut, İpek; Aydın, Merve Nilay; Tohma, Kadir

doi:10.18178/ijeee.4.1.74-78

Cited by 7 publications

(5 citation statements)

References 16 publications

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“…1) has three basic components called the BS (sink), the CH and the member sensor node (MN) [18]. The sink is responsible from evaluating the data, which is gathered from the CHs.…”

Section: Evaluation Methodologymentioning

confidence: 99%

The Effect of the Position of BS and the Size of Network on the Decision of Implementing a Centralized or a Distributed Clustering in WSNs

Abasıkeleş‐Turgut¹

2016

JACN

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Abstract-Due to the resource limitations of the sensor nodes, the most important issue in Wireless Sensor Networks (WSNs) is prolonging overall network lifetime by using energy-efficient routing algorithms. Cluster-based routing protocols have proven to be effective in network topology management, energy minimization and data aggregation. Clustering process can be conducted by a distributed or a centralized manner. In this paper, a distributed and a centralized clustering algorithms are scrutinized under different network parameters, including the size of the network and the location of the base station. The results are evaluated by using the death of the first node and the death of the last node since they are the indicators of the quality and the lifetime of the network. The results show that the distributed approach performs better than the centralized equivalent up to 24.5% for small scale networks when the BS is inside the network. However, as the size of the network increases or as the BS moves away from the network, the centralized approach gets the advantage.

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“…1) has three basic components called the BS (sink), the CH and the member sensor node (MN) [18]. The sink is responsible from evaluating the data, which is gathered from the CHs.…”

Section: Evaluation Methodologymentioning

confidence: 99%

The Effect of the Position of BS and the Size of Network on the Decision of Implementing a Centralized or a Distributed Clustering in WSNs

Abasıkeleş‐Turgut¹

2016

JACN

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“…In Abasikeleş-Turgut et al [13], an algorithm has been presented to defend against BH and sinkhole attacks. This algorithm can be applied to low-energy adaptive clustering hierarchy clustering-based sensor networks.…”

Section: Related Workmentioning

confidence: 99%

A Restricted Multipath Routing Algorithm in Wireless Sensor Networks Using a Virtual Cylinder: Bypassing Black hole and Selective Forwarding Attacks

et al. 2019

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In this paper, a simple and novel routing algorithm is presented to improve the packet delivery in harsh conditions such as selective forwarding and blackhole attacks to the wireless sensor networks. The proposed algorithm is based on restricted multi-path broadcast based on a virtual cylinder from the source node to the sink node. In this algorithm, when a packet is broadcast by a source node, a virtual cylinder with radius w is created from the source node to a sink node. All the nodes located in this virtual cylinder are allowed to forwardthe packet to the sink. Thus, data is forwarded to sink via multiple paths, but in a restricted manner so that the nodes do not consume a high amount of energy. If there are some compromised nodes in this virtual cylinder, the packets may be forwarded to the sink via other nodes of the virtual cylinder. The proposed algorithm is simulated and evaluated in terms of packet delivery rate and energy consumption. The experiment results show that the proposed algorithm increases packet delivery rate 7 times compared to the single-path routing method and reduces energy consumption up to three times compared to flooding routing method.

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“…The anomaly detection classified into knowledge, statistical, and learning based. The anomaly detection considers the normal behavior of networks, flag the unknown activity and based on the activity it generates an alarm [8]. Black hole, which is a DoS attack MANET attack [9,10], is a type of attack that has a big influence on the network.…”

Section: Introductionmentioning

confidence: 99%

Black Hole attack Detection using fuzzy based IDS

Abdel-Azim¹,

Salah²,

Eissa³

2022

Int. j. commun. netw. inf. secur.

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In the past few years, an evolution in the wireless communication has been emerged, along with the evolution a new type with large potential application of wireless network appears, which is the Mobile Ad-Hoc Network (MANET). Black hole attack consider one of the most affected kind on MANET. Therefore, the use of intrusion detection system (IDS) has a major importance in the MANET protection. In this paper, an optimization of a fuzzy based intrusion detection system is proposed which automate the process of producing a fuzzy system by using an Adaptive Neuro-Fuzzy Inference System (ANFIS) for the initialization of the FIS and then optimize this initialized system by using Genetic Algorithm (GA). In addition, a normal estimated fuzzy based IDS is introduces to see the effect of the optimization on the system. From this study, it is proven that the optimized proposed IDS perform better that the normal estimated systems.

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A Realistic Modelling of the Sinkhole and the Black Hole Attacks in Cluster-Based WSNs

Cited by 7 publications

References 16 publications

The Effect of the Position of BS and the Size of Network on the Decision of Implementing a Centralized or a Distributed Clustering in WSNs

The Effect of the Position of BS and the Size of Network on the Decision of Implementing a Centralized or a Distributed Clustering in WSNs

A Restricted Multipath Routing Algorithm in Wireless Sensor Networks Using a Virtual Cylinder: Bypassing Black hole and Selective Forwarding Attacks

Black Hole attack Detection using fuzzy based IDS

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