Integrity protecting hierarchical concealed data aggregation for wireless sensor networks

Özdemir, Suat; Xiao, Yang

doi:10.1016/j.comnet.2011.01.006

Cited by 101 publications

(75 citation statements)

References 22 publications

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“…Fully homomorphic technique allows both addition and multiplication on encrypted data. Let us consider D () and E () denotes decryption and encryption, respectively [10]. K u be the public key and K r is the private key and Q is the data set, then (1) and (2) are the equations for multiplicative homomorphic and additive homomorphic:…”

Section: Shahina and Vaidehimentioning

confidence: 99%

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Secured Data Aggregation Methods in Wireless Sensor Networks Using Homomorphic Operation - A Review

Shahina

Vijayakumar

2017

Asian J Pharm Clin Res

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Wireless sensor networks (WSNs) are energy constrained. Data aggregation is an important mechanism for achieving energy efficiency in such networks. The aggregation reduces redundancy in data transmission which results in improved energy usage. Several security issues are there in data aggregation, which includes data confidentiality, data integrity, availability, and freshness. Such issues become complex since WSN is deployed in hostile and unattended environment. Hence, the sensor nodes may fail and compromised by adversaries. Secure data aggregation (SDA) in sensor network is a topic of research. Many solutions are proposed for SDA, using different encryption methods. Homomorphic encryption is one of such techniques. In homomorphic encryption, all the nodes participate in the aggregation. Here, nodes cannot see any intermediate or final result, but the aggregation is efficient. In this paper, SDA methods are classified and the performance is compared in terms of integrity and confidentiality.

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Section: Shahina and Vaidehimentioning

confidence: 99%

“…Ozdemir proposes an IHCA [10] method. Using a key encryption, the BS classifies the aggregated data.…”

Section: Integrity Protecting Hierarchical Concealed Data Aggregationmentioning

confidence: 99%

Secured Data Aggregation Methods in Wireless Sensor Networks Using Homomorphic Operation - A Review

Shahina

Vijayakumar

2017

Asian J Pharm Clin Res

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“…Energy consumption is reduced by scheduling some of the SNs to sleep periodically. (Ozdemir and Cam, 2010) combined a false data detection module with data aggregation for confidential transmission in WSNs (Ozdemir and Xiao, 2011). The main source of false data is compromised SNs which inject false data during aggregation and forwarding of data.…”

Section: Related Workmentioning

confidence: 99%

“…The network architecture consists of 500 nodes in a simulated area of 10003 * 1000 m. The nodal velocity is varied from 5 to 30 m/s. The enhanced DAO-LEACH protocol is analyzed with existing methods like SCAR (Hong et al, 2013), DyDAP (Sicari et al, 2012), DAA (Ozdemir and Cam, 2010), IPHCDA protocol (Ozdemir and Xiao, 2011), SEDAN (Bagaa et al, 2012), DKS-LEACH (Ba et al, 2010) and ESPA (Dieu et al, 2012) in terms of the following parameters.…”

Section: Performance Evaluationmentioning

confidence: 99%

Development of an Energy- Efficient, Secure and Reliable Wireless Sensor Networks Routing Protocol Based on Data Aggregation and User Authentication

Saminathan

Karthik²

2013

American Journal of Applied Sciences

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Data aggregation protocols are required in Wireless Sensor Networks (WSNs) to improve the data accuracy and extend the network lifetime by reducing the energy consumption. The existing Data Aggregation-Optimal LEACH (DAO-LEACH) protocol for WSN is enhanced in terms of security and fault-tolerance based on Gracefully Degraded Data Aggregation (GDDA) to ensure the integrity of the aggregated data and Hybrid Layer User Authentication (HLUA) to ensure the confidentiality of the aggregated data. This data aggregation scheme rejects the false data from compromised and malfunctioning Sensor Nodes (SNs). HLUA consists of a combination of Secret Key Cryptography (SKC) method such as Message Authentication Code (MAC) algorithm and Public Key Cryptography (PKC) method such as Elliptic Curve Cryptography (ECC). MAC algorithm is used between the Cluster Heads (CHs) and SNs to fulfill lower power demand, while ECC is applied for User Authentication (UA) between CHs and users. The enhanced DAO-LEACH protocol is resistant to security attacks such as, replay attacks, node compromising attacks and impersonation attacks. It performs better in terms of energy consumption, number of nodes alive, End-to-End Delay (EED), false data detection and aggregation accuracy.

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“…During the calculation process, frequent encryption and decryption operations increase the overall operation time (Zhou, Yang and He, 2014;Yang et al, 2008). In addition, in some special circumstances, hackers can use forged data, identity or Trojan attacks to shorten the lifetime of the wireless sensor data transmission system, increase energy consumption and even paralyze the entire network (Chan, 2007;Kumar and Dutta, 2015;Shakshuki Malik and Denko, 2008;Tang et al, 2011;Ozdemir and Xiao, 2011).…”

Section: Introductionmentioning

confidence: 99%

WSN Data Transmission Algorithm Based on Spatial Data Aggregation

Yin

Hong

2017

Int. J. Onl. Eng.

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Abstract-In this paper, considering the high energy consumption, loss of network lifetime and data leak in transmission during the data aggregation of the wireless sensor network, we propose an improved spatial data aggregation algorithm. Through comparison with traditional data aggregation algorithms, we verify the feasibility and rationality of the proposed algorithm and obtain the following conclusions: the proposed algorithm carries out node sensing and data aggregation within a certain area based on multiple dynamic routes. The calculation process does not require encryption and decryption, and is not affected by network topology, so it can better address the data aggregation problems in the dynamic change of network structure. Compared with other traditional data aggregation algorithms, the proposed algorithm has the advantages of low traffic, low energy consumption in data transmission, low probability of data leakage and high transmission accuracy. In data aggregation, 3 slices is the optimal quantity.

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Integrity protecting hierarchical concealed data aggregation for wireless sensor networks

Cited by 101 publications

References 22 publications

Secured Data Aggregation Methods in Wireless Sensor Networks Using Homomorphic Operation - A Review

Secured Data Aggregation Methods in Wireless Sensor Networks Using Homomorphic Operation - A Review

Development of an Energy- Efficient, Secure and Reliable Wireless Sensor Networks Routing Protocol Based on Data Aggregation and User Authentication

WSN Data Transmission Algorithm Based on Spatial Data Aggregation

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