Secure Data Aggregation with Fully Homomorphic Encryption in Large-Scale Wireless Sensor Networks

Li, Xing; Chen, Dexin; Li, Chunyan; Wang, Liangmin

doi:10.3390/s150715952

Cited by 36 publications

(24 citation statements)

References 30 publications

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“…After the aggregation and encryption process is completed, the aggregation node forwards the encrypted data to the cluster head node, 'CH', as described in Step 10. Finally, in Steps 11-12, the base station receives the encrypted aggregation data from the cluster head node CH B s using the algorithm defined in [9].…”

Section: ) Data Fragmentation Algorithmmentioning

confidence: 99%

“…In this section, we discuss the secret key with the SEEDA protocol. We are using a fully homomorphic encryption algorithm that can protect end-to-end data confidentiality as defined in [9] and perform encryption on the aggregated data before sending it to the base station nodes. We are employing the encryption process when the data information gets to the aggregation node because the monitor nodes and relay nodes are focusing on the fragmentation process to hide the original data from the adversary.…”

Section: ) Secret Keymentioning

confidence: 99%

“…However, implementing security in WSN can be challenging due to limited energy available as the energy is highly consumed during data transmission [6], [7]. To extend the network lifetime and allocate the energy for implementing the security, the amount of the transmission overhead should be reduced [8], [9]. Therefore, efficient energy management of data aggregation must be considered in designing a secure network to protect it from attacks and prolong the network lifetime [2], [10], [11].…”

Section: Introductionmentioning

confidence: 99%

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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: ) Data Fragmentation Algorithmmentioning

confidence: 99%

Section: ) Secret Keymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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“…In [ 39 ], the authors proposed a scheme called Fully homomorphic Encryption based Secure data Aggregation (FESA) in large-scale wireless sensor networks (LWSNs) based on message authentication codes (MACs) to support arbitrary aggregation operations and provide end-to-end data confidentiality. This scheme involves complete data encryption and incurs increased computational overhead because of its large public key size.…”

Section: Related Workmentioning

confidence: 99%

Cost-Effective Encryption-Based Autonomous Routing Protocol for Efficient and Secure Wireless Sensor Networks

Saleem

Derhab

Orgun

et al. 2016

Sensors

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The deployment of intelligent remote surveillance systems depends on wireless sensor networks (WSNs) composed of various miniature resource-constrained wireless sensor nodes. The development of routing protocols for WSNs is a major challenge because of their severe resource constraints, ad hoc topology and dynamic nature. Among those proposed routing protocols, the biology-inspired self-organized secure autonomous routing protocol (BIOSARP) involves an artificial immune system (AIS) that requires a certain amount of time to build up knowledge of neighboring nodes. The AIS algorithm uses this knowledge to distinguish between self and non-self neighboring nodes. The knowledge-building phase is a critical period in the WSN lifespan and requires active security measures. This paper proposes an enhanced BIOSARP (E-BIOSARP) that incorporates a random key encryption mechanism in a cost-effective manner to provide active security measures in WSNs. A detailed description of E-BIOSARP is presented, followed by an extensive security and performance analysis to demonstrate its efficiency. A scenario with E-BIOSARP is implemented in network simulator 2 (ns-2) and is populated with malicious nodes for analysis. Furthermore, E-BIOSARP is compared with state-of-the-art secure routing protocols in terms of processing time, delivery ratio, energy consumption, and packet overhead. The findings show that the proposed mechanism can efficiently protect WSNs from selective forwarding, brute-force or exhaustive key search, spoofing, eavesdropping, replaying or altering of routing information, cloning, acknowledgment spoofing, HELLO flood attacks, and Sybil attacks.

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“…Data can be easily aggregated in base station, but this model does not authenticate the data sender and does not support integrity of the data or prevent false data detection. A variation of DAA is proposed by (Li et al, 2015) that uses fully homomorphic encryption to encrypt the data. Privacy homomorphism over elliptic curve cryptography along with a message authentication code is proposed by (Ozdemir and Xiao, 2011) to preserves data confidentiality and integrity in hierarchical data aggregation.…”

Section: Introductionmentioning

confidence: 99%

Distributed Data Aggregation in Wireless Sensor Network - with Peer Verification

Chatterjee

Pais

Saurabh

2016

Proceedings of the 13th International Joint Conference on E-Business and Telecommunications

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Data aggregation in wireless sensor network is implemented to reduce the communication overhead and to reduce bandwidth utilization. Data confidentiality requires the sensor node to transmit the data in a secure manner so that the adversary is unable to read the data or transmit false data even if it compromises some of the sensor nodes or aggregation node. In this paper a distributed aggregation protocol using homomorphic trapdoor permutation is proposed. This protocol distributes the responsibility of key generation , aggregation and verification to different nodes to reduce the overall power consumption of the sensor network. The peer verification scheme is also proposed as a part of the protocol. Peer verification ensures the authentication of the data and sender node in the network, by at least k peer nodes. Security of the proposed protocol is analyzed against passive and active adversary model.

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Secure Data Aggregation with Fully Homomorphic Encryption in Large-Scale Wireless Sensor Networks

Cited by 36 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

Cost-Effective Encryption-Based Autonomous Routing Protocol for Efficient and Secure Wireless Sensor Networks

Distributed Data Aggregation in Wireless Sensor Network - with Peer Verification

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