Wireless sensor networks misdirection attacker challenges and solutions

Abdullah, Maan Younis; Hua, Gui Wei; Alsharabi, Naif

doi:10.1109/icinfa.2008.4608027

Cited by 5 publications

(6 citation statements)

References 13 publications

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“…The modules are the UI module, a database module, a detection module, and a prevention module. As a solution to the misdirection attack, a SASO algorithm [30] is applied in the network context. The simulation was done of a Local Administrative Function using Omnet++.…”

Section: Network Layer Attacks In Wbansmentioning

confidence: 99%

Security attacks in S-WBANs on IoT based Healthcare Applications

John¹,

Varkey²,

Selvi³

2019

IJITEE

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The internet exists as a global interconnection network for information sharing, commerce, and entertainment. The usage of internet has grown tremendously over the past decade in the field of E- health care monitoring system. In Ehealth care monitoring systems, Smart Wireless Body Area Networks (S-WBANs) is one among such technologies and is being explored. S-WBANs are primarily used as a smart object with computer-assisted rehabilitation. They serve as a remote monitoring service in smart electronic healthcare to continuously measure the vital parameters like heart rate, insulin level, body temperature, etc. They are thereby providing doctors with early detection of a patient’s medical conditions. However, sharing of sensitive personal data over a wireless network requires a high level of security. Since any breach in the system security will lead to a direct violation of the patient’s privacy. In order to address the security vulnerability of the existing system, in this paper a block chain based Smart Wireless Body Area Networks has been proposed to provide better security with enhanced privacy and access control for E- health care monitoring system. Moreover, the proposed system enhances the scalability and provides mitigation against all the security attacks in IoT Environment.

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Section: Network Layer Attacks In Wbansmentioning

confidence: 99%

Security attacks in S-WBANs on IoT based Healthcare Applications

John¹,

Varkey²,

Selvi³

2019

IJITEE

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“…There is a presence of the selfish nodes in the network which misdirect the packets and there is a decrease in the efficiency of the complete system due to this. [1,2,7,8].…”

Section: Misdirectional Attackmentioning

confidence: 99%

“…The paper also presented the challenges of sensor networks. Maan younis Abdullah et al [8], "Wireless Sensor Networks Misdirection Attacker Challenges and Solutions", 2008 There are various challenges that a wireless sensor network faces due to the misdirectional attacks. This type of attack does not allow the packets to be received by the destination address.…”

Section: Literature Survey Juby Joseph Et Al [1]mentioning

confidence: 99%

Detection and Isolation Technique for Blackhole Attack in Wireless Sensor Network

Thakur

Gill

2017

IJARCSSE

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A wireless sensor network comprises of countless spread over a particular territory where we need to take care of at the progressions going ahead there. A sensor hub, for the most part, comprises of sensors, actuators, memory, a processor and they do have correspondence capacity. These sorts of networks are much powerless against security attacks. Many kinds of active and passive attacks are conceivable in the sensor network. Among all the conceivable active attacks, sinkhole attack is the most widely recognized and destructive attack. This attack debases network execution and prompts denial of service attack. The attack is triggered by the malicious hub which is available in the network. In this work, a novel strategy has been proposed to recognize and disengage malicious nodes from the network which are in charge of triggering the attack. The novel procedure is based on blacklist technique and clustering technique. The exploratory results will demonstrate that proposed strategy detects and separate the malicious nodes from the network proficiently. It will enhance network effectiveness as far as bundle misfortune, defer and expand throughput of the network. NS2 simulator instrument will be utilized as a part of it.

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“…An investigation to network supervisors comprehend and evaluate the different threats connected with the utilization of remote innovation and various accessible answers for countering those threats are talked about. Remote Sensor Networks give a various chances to expanding profitability and minimizing costs [7]. Kalpana Sharma and M K Ghose discuss the issue of security is because of the wireless nature of the sensor organizes and obliged nature of resources on the wireless sensor nodes, which implies that security models utilized for conventional wireless systems are not practical.…”

Section: IImentioning

confidence: 99%

“…It is a network layer attack. The solution to this problem is monitoring the network and flexible routing schemes [7].…”

Section: A Worm Hole Attackmentioning

confidence: 99%

Mutual Authentication Technique for Isolation of Sinkhole Attack in WSNs

Kaur¹

2017

IJRASET

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The wireless sensor networks (WSN's) is the type of network in which sensor nodes sense the environmental conditions and pass sensed information to the base station. To reduce energy consumption of the network LEACH protocol is applied which divide whole network in clusters and in cluster, cluster heads are selected on the basis of energy, distance. The sinkhole attack is triggered in the network which reduce network performance. The mutual authentication technique is proposed which detect malicious nodes from the network. The performance of proposed technique is tested in NS2 software in terms of various parameters Keywords: Active, Attack attack, LEACH , Passive attack , Sinkhole, WSN. I.INTRODUCTION Wireless Sensor Network (WSN) is a combination of tiny light weight wireless sensors with computing elements. These sensor nodes are generally cheaper in price, with limited energy storage and limited processing capabilities. Wireless sensor network consist of large number of these sensor nodes (usually hundred or thousand of nodes). These types of networks are highly distributed and deployed in hostile environments [1]. Wireless sensor networks monitor the system or surroundings by measuring physical parameters, for example, moistness, weight and temperature. WSN's are most appropriate for applications like natural life checking, military order, shrewd interchanges, modern quality control, and perception of basic bases, brilliant structures, circulated apply autonomy, movement observing, inspecting human heart rates, and so forth. . The battery present within the nodes of WSN is of smaller size. Also the nodes are located at really far distances where human is not able to reach. So the major concern within the WSNs is the usage of battery within them. This also affects the overall lifetime of the nodes and thus the deployment of the network. More often, than the nodes are consist of a radio transceiver and a microcontroller powered by a battery. As well as a few kind of sensor for detecting light, heat, humidity, temperature, etc. Since there is no immovable topology in these networks, one of the terrible challenges is routing testimony from its source to the destination. Ordinarily these routing protocols draw influence from two fields; WSNs and mobile ad hoc networks (MANETs). WSN routing protocols hand over the required functionality but cannot stem the high frequency of topology changes. Whereas, MANET routing protocols can contract with flexibility in the network but they are designed for two way communication that in sensor networks is often not needed. Protocols designed precisely for WSNs are virtually always multi-hop and consistently adaptations of existent protocols[2] The size of various constraints such as battery size, processors, information storing memory and so on are important within these networks. The consumption of energy is required to be advanced within the networks with the help of various optimization algorithms. Various time constraints are present within the detected and routi...

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Wireless sensor networks misdirection attacker challenges and solutions

Cited by 5 publications

References 13 publications

Security attacks in S-WBANs on IoT based Healthcare Applications

Security attacks in S-WBANs on IoT based Healthcare Applications

Detection and Isolation Technique for Blackhole Attack in Wireless Sensor Network

Mutual Authentication Technique for Isolation of Sinkhole Attack in WSNs

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