Access Control Protocol With Node Privacy in Wireless Sensor Networks

Kumar, Pardeep; Gurtov, Andrei; Iinatti, Jari; Sain, Mangal; Ha, Phuong Hoai

doi:10.1109/jsen.2016.2610000

Cited by 16 publications

(7 citation statements)

References 30 publications

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“…However, WSNs are vulnerable to various attacks because of its distributed wireless nature, which results in delays and loss of data in the network [3], [4]. WSNs have a high data sensitivity, thereby allowing the adversary to discreetly intercept information from the nodes [5]. For example, the adversary can intercept the transmitted packets by disconnecting the link between the source and destination nodes, generate a fake node with similar identity as the authentic node, or change the path of the transmission.…”

Section: Introductionmentioning

confidence: 99%

Secure and Energy-Efficient Data Aggregation Method Based on an Access Control Model

et al. 2019

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Wireless sensor networks (WSNs) consist of a large number of sensor nodes that are distributed to capture the information about an area of interest. In WSN, many of the secure data aggregation works are conducted without addressing the authentication process. It is challenging to implement authentication while preserving the energy consumption in the network. The previous research that focus on these issues have several limitations, such as sharing the security key and the key length with a base station node, and not much attention is given to enhance the authentication of the Medium Access Control (MAC) server. This makes the data aggregation network are exposed to malicious activities. This paper presents a new protocol to address the security and energy issue in Wireless Sensor Network (WSN). This newly developed protocol is named Secure and Energy-Efficient Data Aggregation (SEEDA), which is the extension of SDAACA protocol. The proposed protocol aims to enhance authentication by generating a random value and random timestamp with a secret key. The base station node will verify the fake aggregated data when the packets are received using the generated key earlier. Furthermore, the attacks are detected and prevented by utilizing secure node authentication, data fragmentation algorithms, fully homomorphic encryption, and access control model. The secure node authentication algorithm prevents attacks from accessing the network. To avoid network delays, the base station node utilizes the distance information between the participating nodes. To ensure the reliability of our proposed method, we simulate two well-known attacks, called Sybil and sinkhole attacks. Several experimental scenarios are conducted to observe their effect. Evaluation metrics such as malicious activity detection rate, energy consumption, end-to-end delay, and resilience time are measured. The performance of the proposed protocol is compared with SDA, SDAT, SDALFA, EESSDA, SDAACA, and EESDA, which is a widely used protocol in the area of secure data aggregation. The simulation results show that the proposed SEEDA method outperforms the existing scheme with 98.84% malicious nodes detection rate, 3.04 joules for energy consumption, the maximum delay of 0.038 seconds, and the resilient time 0.054, 0.075 seconds when 8%,16% of malicious nodes affecting the network.

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Section: Introductionmentioning

confidence: 99%

Secure and Energy-Efficient Data Aggregation Method Based on an Access Control Model

et al. 2019

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“…An access control scheme should monitor the deployment of the new nodes in the network keeping the node identities disclosed to ensure privacy. One such access control scheme, called as access control with node (identity) privacy (ACP) is proposed by Kumar et al [ 104 ]. The whole network is divided into cells with one co-ordinator (C) each.…”

Section: Access Control Protocols In Iotmentioning

confidence: 99%

“…The scheme also flexibly deploys new nodes in the network via new node addition phase. [ 104 ] resists message replay attack, legal node masquerading attack, message forgery attack, identity threat, sybil attack, node capture and fabrication threat.…”

Section: Access Control Protocols In Iotmentioning

confidence: 99%

Blockchain-envisioned access control for internet of things applications: a comprehensive survey and future directions

et al. 2022

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“…Generally, sensors are deployed in unattended and hostile environments. Therefore, an intruder can easily receive a physical access to a sensor and extract all the stored keys [ 32 ]. The recent encryption schemes use a source-destination path key to protect data transmitted over the route instead of using multiple pairwise shared keys to repeatedly perform encryption and decryption over every link [ 33 ].…”

Section: Related Workmentioning

confidence: 99%

Depletion-of-Battery Attack: Specificity, Modelling and Analysis

Shakhov

Koo

2018

Sensors

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The emerging Internet of Things (IoT) has great potential; however, the societal costs of the IoT can outweigh its benefits. To unlock IoT potential, there needs to be improvement in the security of IoT applications. There are several standardization initiatives for sensor networks, which eventually converge with the Internet of Things. As sensor-based applications are deployed, security emerges as an essential requirement. One of the critical issues of wireless sensor technology is limited sensor resources, including sensor batteries. This creates a vulnerability to battery-exhausting attacks. Rapid exhaustion of sensor battery power is not only explained by intrusions, but can also be due to random failure of embedded sensor protocols. Thus, most wireless sensor applications, without tools to defend against rash battery exhausting, would be unable to function during prescribed times. In this paper, we consider a special type of threat, in which the harm is malicious depletion of sensor battery power. In contrast to the traditional denial-of-service attack, quality of service under the considered attack is not necessarily degraded. Moreover, the quality of service can increase up to the moment of the sensor set crashes. We argue that this is a distinguishing type of attack. Hence, the application of a traditional defense mechanism against this threat is not always possible. Therefore, effective methods should be developed to counter the threat. We first discuss the feasibility of rash depletion of battery power. Next, we propose a model for evaluation of energy consumption when under attack. Finally, a technique to counter the attack is discussed.

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Access Control Protocol With Node Privacy in Wireless Sensor Networks

Cited by 16 publications

References 30 publications

Secure and Energy-Efficient Data Aggregation Method Based on an Access Control Model

Secure and Energy-Efficient Data Aggregation Method Based on an Access Control Model

Blockchain-envisioned access control for internet of things applications: a comprehensive survey and future directions

Depletion-of-Battery Attack: Specificity, Modelling and Analysis

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