Additively homomorphic encryption and fragmentation scheme for data aggregation inside unattended wireless sensor networks

Tiny autonomous embedded electronics (sensor nodes) devices able to communicate through wireless channels are ensuring the emission and reception of data through a communication radio between two sensors grouped by hundreds and thousands within Wireless Sensor Networks (WSNs). These amazing new technology with ongoing research worldwide, are merging networking, systems hardware, systems software and programming methodologies thus enabling applications that previously were not practical. Hence numerical simulations on computers can now visualize the physical world phenomena that could be observed through empirical means, as sensors are deployed in a dedicated environment, to fulfill their aim of sensing for any occurrence of the event of interest. The data sensed by these wireless sensors are now very sensitive, thus need to be fully protected by all means, which is why T. D. Engouang et al., argued that securityand reliability and also durability are mandatory when deploying any sensor nodes or hard device. The Pallier based homomorphic encryption data aggregation is proposed with security measures preserving data integrity and privacy.

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SECURED DATA AGGREGATION METHODS IN WIRELESS SENSOR NETWORKS USING HOMOMORPHIC OPERATION - A REVIEW

Asian Journal of Pharmaceutical and Clinical Research ◽

10.22159/ajpcr.2017.v10s1.19749 ◽

2017 ◽

Vol 10 (13) ◽

pp. 328

Author(s):

Shahina K ◽

Vaidehi Vijayakumar

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Aggregation ◽

Homomorphic Encryption ◽

Sensor Nodes ◽

Wireless Sensor ◽

Security Issues ◽

Aggregation Methods ◽

Energy Constrained ◽

Secured Data

Wireless sensor networks 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. So the sensor nodes may fail and compromised by adversaries. Secured data aggregation in sensor network is a topic of research. Many solutions are proposed for secured data aggregation, using different encryption methods. Homomorphic encryption is one of such technique. In homomorphic encryption, all the nodes participate in the aggregation. Here, nodes can’t see any intermediate or final result but the aggregation is efficient. In this paper, secured data aggregation methods are classified and the performance is compared in terms of integrity and confidentiality.

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Query Privacy Preserving for Data Aggregation in Wireless Sensor Networks

Wireless Communications and Mobile Computing ◽

10.1155/2020/9754973 ◽

2020 ◽

Vol 2020 ◽

pp. 1-10 ◽

Cited By ~ 2

Author(s):

X. Liu ◽

X. Zhang ◽

J. Yu ◽

C. Fu

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Aggregation ◽

Data Privacy ◽

Homomorphic Encryption ◽

Privacy Preserving ◽

Sensor Nodes ◽

Experimental Simulation ◽

Wireless Sensor ◽

Communication Overhead

Wireless Sensor Networks (WSNs) are increasingly involved in many applications. However, communication overhead and energy efficiency of sensor nodes are the major concerns in WSNs. In addition, the broadcast communication mode of WSNs makes the network vulnerable to privacy disclosure when the sensor nodes are subject to malicious behaviours. Based on the abovementioned issues, we present a Queries Privacy Preserving mechanism for Data Aggregation (QPPDA) which may reduce energy consumption by allowing multiple queries to be aggregated into a single packet and preserve data privacy effectively by employing a privacy homomorphic encryption scheme. The performance evaluations obtained from the theoretical analysis and the experimental simulation show that our mechanism can reduce the communication overhead of the network and protect the private data from being compromised.

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