Study of Wireless Authentication Center with Mixed Encryption in WSN

Lu, Yiqin; Zhai, Jing; Zhu, Ronghuan; Qin, Jiancheng

doi:10.1155/2016/9297562

Cited by 13 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the sensors in CWSNs are generally energy intensive and computing power limited, Wang et al [17] propose a group key-policy attribute-based encryption with partial outsourcing decryption in WSNs, and Elhoseny et al [18] propose an energy efficient encryption scheme for secure dynamic WSN. Additionally, there are some other encryption methods introduced to CWSNs, such as mixed encryption [19], asymmetric encryption [20], authenticated encryption [21], etc.…”

mentioning

confidence: 99%

Lightweight Searchable Public-Key Encryption for Cloud-Assisted Wireless Sensor Networks

Wang

et al. 2018

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

The industrial Internet of Things is flourishing, which is unprecedentedly driven by the rapid development of wireless sensor networks (WSNs) with the assistance of cloud computing. The new wave of technology will give rise to new risks to cyber security, particularly the data confidentiality in cloud-assisted WSNs (CWSNs). Searchable public-key encryption (SPE) is a promising method to address this problem. In theory, it allows sensors to upload public-key ciphertexts to the cloud, and the owner of these sensors can securely delegate a keyword search to the cloud and retrieve the intended data while maintaining data confidentiality. However, all existing and semantically secure SPE schemes have expensive costs in terms of generating ciphertexts and searching keywords. Hence, this paper proposes a lightweight SPE (LSPE) scheme with semantic security for CWSNs. LSPE reduces a large number of the computation-intensive operations that are adopted in previous works; thus, LSPE has search performance close to that of some practical searchable symmetric encryption schemes. In addition, LSPE saves considerable time and energy costs of sensors for generating ciphertexts. Finally, we experimentally test LSPE and compare the results with some previous works to quantitatively demonstrate the above advantages.

show abstract

mentioning

confidence: 99%

Lightweight Searchable Public-Key Encryption for Cloud-Assisted Wireless Sensor Networks

Wang

et al. 2018

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

show abstract

“…Many existing schemes to collect data in WSN [18,[52][53][54] have used the SHA algorithm to support integrity and authentication. However, these schemes do not address the collision and preimage problems in the SHA algorithm [31][32][33][34][35].…”

Section: -Sha Familymentioning

confidence: 99%

REISCH: Incorporating Lightweight and Reliable Algorithms into Healthcare Applications of WSNs

Al-Zubaidie

Zhang

2020

Applied Sciences

View full text Add to dashboard Cite

Healthcare institutions require advanced technology to collect patients’ data accurately and continuously. The tradition technologies still suffer from two problems: performance and security efficiency. The existing research has serious drawbacks when using public-key mechanisms such as digital signature algorithms. In this paper, we propose Reliable and Efficient Integrity Scheme for Data Collection in HWSN (REISCH) to alleviate these problems by using secure and lightweight signature algorithms. The results of the performance analysis indicate that our scheme provides high efficiency in data integration between sensors and server (saves more than 24% of alive sensors compared to traditional algorithms). Additionally, we use Automated Validation of Internet Security Protocols and Applications (AVISPA) to validate the security procedures in our scheme. Security analysis results confirm that REISCH is safe against some well-known attacks.

show abstract

“…The feasibility of CZ-BEEM is proved by an implement of this model. In the field of wireless communication, we have tested the speed of RSA in an embedded platform of STM32 in [16]. And we have tested the acceleration of LDPC decoding with a mobile phone GPU of PowerVR in [17].…”

Section: Description Of Cz Encryptionmentioning

confidence: 99%

Parallel Algorithm for Wireless Data Compression and Encryption

Qin

2017

Journal of Sensors

View full text Add to dashboard Cite

As the wireless network has limited bandwidth and insecure shared media, the data compression and encryption are very useful for the broadcasting transportation of big data in IoT (Internet of Things). However, the traditional techniques of compression and encryption are neither competent nor efficient. In order to solve this problem, this paper presents a combined parallel algorithm named “CZ algorithm” which can compress and encrypt the big data efficiently. CZ algorithm uses a parallel pipeline, mixes the coding of compression and encryption, and supports the data window up to 1 TB (or larger). Moreover, CZ algorithm can encrypt the big data as a chaotic cryptosystem which will not decrease the compression speed. Meanwhile, a shareware named “ComZip” is developed based on CZ algorithm. The experiment results show that ComZip in 64 b system can get better compression ratio than WinRAR and 7-zip, and it can be faster than 7-zip in the big data compression. In addition, ComZip encrypts the big data without extra consumption of computing resources.

show abstract

Study of Wireless Authentication Center with Mixed Encryption in WSN

Cited by 13 publications

References 11 publications

Lightweight Searchable Public-Key Encryption for Cloud-Assisted Wireless Sensor Networks

Lightweight Searchable Public-Key Encryption for Cloud-Assisted Wireless Sensor Networks

REISCH: Incorporating Lightweight and Reliable Algorithms into Healthcare Applications of WSNs

Parallel Algorithm for Wireless Data Compression and Encryption

Contact Info

Product

Resources

About