A compressive sensing–based adaptable secure data collection scheme for distributed wireless sensor networks

Abstract

Toward the goal of high security and efficiency for data collection in wireless sensor network, this article proposed an adaptable secure compressive sensing-based data collection scheme for distributed wireless sensor network. It adopted public key cryptography technology to solve the key distribution problem, and compressive sensing over finite fields to reduce the communication cost of data collection. Under hardness of decisional learning with errors problem on lattice, it can ensure indistinguishability against chosen ciphertext attack (IND-CCA1) security scheme for collected data on the extranet and indistinguishability against chosen plaintext attack security for data during the process of distributed collection on the intranet. Owing to the similar linear structure for lattices and compressive sensing, data encryption collection can be all in the form of efficient linear operations, and internode data aggregation can be in the form of addition operation.

Compressive sensing based secure data aggregation scheme for IoT based WSN applications

“…In the CS schemes [ 33 , 47 – 50 ], the Encryption overload is expressed as M / N . It is equal to M /( N − k ) for [ 47 ], and for Public key based schemes of [ 52 ] and [ 51 ], it is given by Mk H / N , where k H denotes the key size of additive homomorphism algorithm adopted in them and | R |/ N + 2 M ( log 2 q + 1)/ n , where q , R represents the prime power used for encryption and Cipher-Text expansion, respectively.…”

“…Based on the previous calculations, we may infer that the CS scheme has the lowest communication cost, but does not provide adequate performance with respect to security concerns. However, in the proposed scheme, the public key is only used by the CHs, rather than by all nodes as in other schemes [ 51 , 52 ]. Because of this, the Encryption overhead of our technique is less than the others, which reduces the communication cost.…”

“…In [ 51 ], a CS-based security strategy for data collection (SeDC) is proposed, where the authors integrated CS and public key algorithms to achieve a high-security level. However, performing computations such as encryption and compression besides the public key size at each node leads to a decrease in the network lifetime.…”

“…An Implementation scheme of Domingo-Ferrer’s Homomorphic Encryption for WSNs Integrated with Cloud Infrastructure is introduced in [ 53 ]. In [ 51 ] an adaptable secure compressive sensing-based data collection scheme for distributed WSN is proposed where both encryption and decryption are used by each node, but they are computationally intensive operations. The proposed algorithm in [ 54 ] shows that the decrypted data will be sparser than that of the actual data when an attacker tries to encrypt the data with a wrong encryption matrix.…”

An Optimal Scheme for WSN Based on Compressed Sensing

“…In this way, sensor nodes can complete data collection in a compressed manner without additional computational overhead. For the wireless sensor network, although it has the characteristics of convenient construction, strong adaptability, and high transmission efficiency, there are some limitations in some aspects, such as energy supply, sensor life cycle, delay, bandwidth, signal distortion, and transmission cost [36][37][38][39][40][41][42][43].…”