A novel efficient approach for protecting integrity of data aggregation in wireless sensor networks

Abstract

Due to the characteristics of resource-constrained in wireless sensor networks (WSNs), energy consumption is a major concern. Data aggregation is an important method to reduce the energy consumption and communication overhead ; however, it suffers from the security problems of data integrity. In fact, designing integrity schemes for data aggregation is an imperative problem for securing WSNs. In this paper, we propose a secure data aggregation based on homomorphic MAC scheme that provide efficient secure data integrity with different trade-offs between security assumptions, computation cost, and communication payload. The scheme uses two types of homomorphic MAC (i.e., MACs and EMACs). Each MAC provides integrity of the transmitted message and each EMAC provides integrity of the MACs. Our experiments show that our scheme requires less computation overheads and energy consumption than previously methods and can effectively preserve data integrity.

Privacy-preserving data aggregation in resource-constrained sensor nodes in Internet of Things: A review

“…The aggregator is unable to verify the validity of the packets received which is a vulnerability that can be exploited by the attacker to inject its malicious packets. To solve this problem homomorphic MAC techniques have been proposed by Hayouni et al [5]. The schemes used two MACs for each encrypted message, one is MAC for data integrity and the second one is EMAC for MAC integrity.…”

“…In computational cost (CC) we will analyze the algorithms based on the complexity of mathematical steps involved. The techniques proposed by Hayouni et al [5] has a very high CC because it involves three mathematical operations, first, each message is encrypted at source node using a key vector and mod operation. Mod operation includes repeated multiplication and reduction that has high CC.…”

“…Power hungry cryptographic operations for security and privacy and communication overhead shrink sensor life. Data aggregation is the solution to reduce communication overhead and energy consumption at each sensor node, but it suffers from the problem of data privacy when the data is aggregated at each node or the aggregator nodes [5]. Efficient data aggregation can surge the life of sensor nodes and the sensor network, as it reduces computation at each node and communication overhead in the network Fig.…”

A Novel Forgery Detection Mechanism for Sensitive Data

“…Thus, MAC assures for the data integrity of original message and Extended-MAC assures for the data integrity of different MACs. Their dependability ensures the detection of alterations in the data around the whole network [15].…”

More Reliable Approach for Detecting Data Alterations in Communication Networks

“…Authenticity is basically of two types: Source Authentication & Message Authentication where the former assures the identity of the user and the latter assures the reception of unaltered data. In order to ensure confidentiality and authenticity, various encryption and decryption algorithms were applied in the past [15].…”