A Secure Data Gathering Scheme Based on Properties of Primes and Compressive Sensing for IoT-Based WSNs

Salim, Ahmed; Osamy, Walid; Khedr, Ahmed M.; Aziz, Ahmed; Abdel-Mageed, Mohamed

doi:10.1109/jsen.2020.3032585

Cited by 22 publications

(13 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The BS position is the center of the network. For our technique, we used the PMLEACH algorithm [ 73 ] to organize the nodes into clusters, where N nodes are grouped into different clusters. The CMs of every cluster transfer their data to respective CHs.…”

Section: Simulation Resultsmentioning

confidence: 99%

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

et al. 2021

Self Cite

View full text Add to dashboard Cite

Compressive Sensing (CS) based data collection schemes are found to be effective in enhancing the data collection performance and lifetime of IoT based WSNs. However, they face major challenges related to key distribution and adversary attacks in hostile and complex network deployments. As a result, such schemes cannot effectively ensure the security of data. Towards the goal of providing high security and efficiency in data collection performance of IoT based WSNs, we propose a new security scheme that amalgamates the advantages of CS and Elliptic Curve Cryptography (ECC). We present an efficient algorithms to enhance the security and efficiency of CS based data collection in IoT-based WSNs. The proposed scheme operates in five main phases, namely Key Generation, CS-Key Exchange, Data Compression with CS Encryption, Data Aggregation and Encryption with ECC algorithm, and CS Key Re-generation. It considers the benefits of ECC as public key algorithm and CS as encryption and compression method to provide security as well as energy efficiency for cluster based WSNs. Also, it solves the CS- Encryption key distribution problem by introducing a new key sharing method that enables secure exchange of pseudo-random key between the BS and the nodes in a simple way. In addition, a new method is introduced to safeguard the CS scheme from potential security attacks. The efficiency of our proposed technique in terms of security, energy consumption and network lifetime is proved through simulation analysis.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

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

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…For example, the Bees algorithm was adopted in [18] to find optimal CS recovering data. And Reference [46] improved the Bees algorithm and also used it to determine optimal results for CS recovery in clustering CDG. They intended to incorporate the merits of the Bees algorithm and genetic algorithm (GA) by introducing crossover and mutation operators of the genetic algorithm to the Bees algorithm.…”

Section: Cdg Combined With Other Technologiesmentioning

confidence: 99%

A Survey of Compressive Data Gathering in WSNs for IoTs

Wang

Chen

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Internet of Things (IoTs) are increasingly widespread in the field of health care, smart city and smart home application, industrial and agricultural monitoring, automation, etc. With its growing scale of networks, there are a large amount of data in IoTs needing to be sensed, transmitted, and processed. Resource-limited Wireless Sensor Networks (WSNs) as a perceptual layer of IoTs are hard to handle massive uncompressed sensing data. Compressive data gathering (CDG), which applies compressive sensing theory to data gathering, is a perfectly matching method for data compressing and gathering in WSNs. This promising method has attracted lots of researchers’ attention. In this paper, we attempt to survey substantial references about CDG in WSNs. According to their technology schemes, we classify the published references into three categories, i.e., routing protocol of CDG, clustering scheme of CDG, and CDG combined with other technologies. The merits and defects of each method are highlighted. Our work aims to provide an insight into CDG and promote improvements of this technology.

show abstract

“…Security is another concern because the data is wirelessly transmitted over insecure channels. Hence, energy efficiency and security become the main challenges in IoT-based WSNs [8]. CS can also be considered an encryption scheme when the measurement matrix is used as a key [9].…”

Section: Literature Reviewmentioning

confidence: 99%

Lightweight Compressive Sensing for Joint Compression and Encryption of Sensor Data

Chatamoni

Bhukya

2022

Int. j. eng. technol. innov.

View full text Add to dashboard Cite

The security and energy efficiency of resource-constrained distributed sensors are the major concerns in the Internet of Things (IoT) network. A novel lightweight compressive sensing (CS) method is proposed in this study for simultaneous compression and encryption of sensor data in IoT scenarios. The proposed method reduces the storage space and transmission cost and increases the IoT security, with joint compression and encryption of data by image sensors. In this proposed method, the cryptographic advantage of CS with a structurally random matrix (SRM) is considered. Block compressive sensing (BCS) with an SRM-based measurement matrix is performed to generate the compressed and primary encrypted data. To enhance security, a stream cipher-based pseudo-error vector is added to corrupt the compressed data, preventing the leakage of statistical information. The experimental results and comparative analyses show that the proposed scheme outperforms the conventional and state-of-art schemes in terms of reconstruction performance and encryption efficiency.

show abstract

A Secure Data Gathering Scheme Based on Properties of Primes and Compressive Sensing for IoT-Based WSNs

Cited by 22 publications

References 54 publications

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

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

A Survey of Compressive Data Gathering in WSNs for IoTs

Lightweight Compressive Sensing for Joint Compression and Encryption of Sensor Data

Contact Info

Product

Resources

About