Denial of Service Defence for Resource Availability in Wireless Sensor Networks

Osanaiye, Opeyemi; Alfa, Attahiru Sule; Hancke, Gerhard P.

doi:10.1109/access.2018.2793841

Cited by 114 publications

(65 citation statements)

References 100 publications

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“…In [13], researchers review the denial of service attacks affecting resource accessibility in WSN and their countermeasure by providing a taxonomy.…”

Section: Related Workmentioning

confidence: 99%

“…The power, timing of the channel, and the frequency are affected by the non-invasive, however, information transmission, service availability, and routing process are influenced by the invasive attacks. Among the WSN attacks, the service or the system is made inaccessible by DoSA [2]. The DoSA is one of the WSNs' power exhausting attacks as a special Denial-of-Service (DoS) trying to maintain the sensor nodes awake to use further energy of the controlled power supply.…”

Section: Introductionmentioning

confidence: 99%

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A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms

Fotohi

Bari

2020

J Supercomput

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Wireless Sensor Networks (WSN) contain numerous nodes that their main goals are to monitor and control environments. Also, sensor nodes distribute based on network usage. One of the most significant issues in this type of network is the energy consumption of sensor nodes. In fixed-sink networks, nodes which are near the sink act as an interface to transfer data of other nodes to sink. This causes the energy consumption of sensors reduces rapidly. Therefore, the lifetime of the network declines. Sensor nodes owing to their weaknesses are susceptible to several threats, one of which is Denial of Sleep Attack (DoSA) threating WSN. Hence, the DoSA attack refers to the energy loss in these nodes by maintaining the nodes from entering energy-saving and sleep mode. In this paper, a hybrid approach is proposed based on mobile sink, firefly algorithm based on leach, and Hopefield Neural Network (WSN-FAHN). Thus, mobile sink is applied to both improve energy consumption and increase network lifetime. Firefly algorithm is proposed to cluster nodes and authenticate in two levels to prevent from DoSA. In addition, Hopefield Neural Network detects the direction route of the sink movement to send data of CH. Furthermore, here WSN-FAHN technique is assessed through wide simulations performed in the NS-2 environment. The WSN-FAHN procedure superiority is demonstrated by simulation outcomes in comparison with contemporary schemes based on performance metrics like Packet Delivery Ratio (PDR), average throughput, detection ratio, and network lifetime while decreasing the average residual energy.

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“…In [13], researchers review the denial of service attacks affecting resource accessibility in WSN and their countermeasure by providing a taxonomy.…”

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms

Fotohi

Bari

2020

J Supercomput

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“…And D, Attack interval, respectively. As shown in the figure, ASDA-RSA increases the residual energy by more than 11,14,15,16,20, and 23% those of current approaches, respectively. Figure 12 and 13, shows the comparison of the ASDA-RSA proposed scheme, CrossLayer, ASDA-BlowFish, ASDA-AES, GA-DoSLD, ASDA-3DES, and ASDA-DES models in term of Lifetime.…”

Section: Simulation Resultsmentioning

confidence: 85%

“…In other words, detection ratio is the probability of successfully identifying all the security threats. Thus, the formulation is shown in Equation (16). Table 3 lists the parameters employed for detection rate.…”

Section: Detection Ratiomentioning

confidence: 99%

Securing Wireless Sensor Networks Against Denial‐of‐Sleep Attacks Using RSA Cryptography Algorithm and Interlock Protocol

Fotohi

Bari

Yusefi

2019

Int J Communication

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Wireless sensor networks (WSNs) have been vastly employed in the collection and transmission of data via wireless networks. This type of network is nowadays used in many applications for surveillance activities in various environments due to its low cost and easy communications. In these networks, the sensors use a limited power source which after its depletion, since it is nonrenewable, network lifetime ends. Due to the weaknesses in sensor nodes, they are vulnerable to many threats. One notable attack threating WSN is Denial of Sleep (DoS). DoS attacks denotes the loss of energy in these sensors by keeping the nodes from going into sleep and energy-saving mode. In this paper, the Abnormal Sensor Detection Accuracy (ASDA-RSA) method is utilized to counteract DoS attacks to reducing the amount of energy consumed. The ASDA-RSA schema in this paper consists of two phases to enhancement security in the WSNs. In the first phase, a clustering approach based on energy and distance is used to select the proper cluster head and in the second phase, the RSA cryptography algorithm and interlock protocol are used here along with an authentication method, to prevent DoS attacks. Moreover, ASDA-RSA method is evaluated here via extensive simulations carried out in NS-2. The simulation results indicate that the WSN network performance metrics are improved in terms of average throughput, Packet Delivery Ratio (PDR), network lifetime, detection ratio, and average residual energy. KEYWORDSASDA-RSA, denial of sleep attack, network lifetime, RSA cryptography, WSNs | INTRODUCTIONNetworks constructed with multiple sensors enables novel applications covering a wide range of areas. However, it is well-known that networks forming from a range of sensors are prone to factors threatening their security. [1][2][3][4] Security is a main research topic in wireless sensor networks (WSNs). The widespread application of WSNs in security sensitive environment, such as military environment, made security considerations a basic requirement. Since nodes are the routing medium in the network, attacking the nodes eradicate the network. As routing is a trust-based operation among the nodes, there exists a good opportunity for attackers to disorder the routing process. These networks are usually formed without pre-planning and are utilized for a short period; hence, security investigations in

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“…Since these sensors are battery‐operated devices, they are vulnerable to Denial of Service (DoS), which is caused by malicious attacks such as vampire attack, black hole attack, directional attack, and selective forwarding attack. The prevention techniques of these attacks are studied in Gunasekaran and Periakaruppan and Osanaiye et al Vampire attacks are not protocoled specific, hence difficult to detect.…”

Section: Introductionmentioning

confidence: 99%

Trust‐based secure routing and the prevention of vampire attack in wireless ad hoc sensor network

Sajan

J²

2020

Int J Communication

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Summary The recent development in technologies is the driving force for development in sensors, especially in military applications. Due to the openness nature of the ad hoc sensor network, the system gets easily affected, which may lead to some packet drop, transmission delay, high network overhead, and more energy consumption. In this paper, the security during data transmission is provided to the network by using the proposed Secure Atom Search Routing (SASR) algorithm, which is adopted from the behavior of molecular dynamics. For global optimization problems, this algorithm provides an effective solution based on the constraint and interaction force of atoms. Moreover, the performance of SASR is improved by providing a proper balance between exploitation and exploration. Since the knowledge base processes all the data, the computational complexity is reduced and the lifetime of the network is increased. The simulation and performance are carried out for the proposed Knowledge and Intrusion Detection based Secure Atom Search Routing (KID‐SASR) protocol and is compared with the existing methods based on the metrics trust, delay, throughput, energy, packet delivery ratio, network lifetime, trust detection rate, and communication cost. The results obtained show improvement in the overall performance of the system.

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Denial of Service Defence for Resource Availability in Wireless Sensor Networks

Cited by 114 publications

References 100 publications

A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms

A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms

Securing Wireless Sensor Networks Against Denial‐of‐Sleep Attacks Using RSA Cryptography Algorithm and Interlock Protocol

Trust‐based secure routing and the prevention of vampire attack in wireless ad hoc sensor network

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