A combined public-key scheme in the case of attribute-based for wireless body area networks

Hong, Jiaojiao; Liu, Bo; Sun, Qianyuan; Li, Fagen

doi:10.1007/s11276-017-1597-8

Cited by 18 publications

(11 citation statements)

References 37 publications

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“…Table 1 summarises methods for certificateless, certificated, and heterogeneous public key cryptosystems. Attribute-based signcryption is used in all of the processes in [7,8] making use of public key infrastructure-(PKI-) based cryptography. Certificateless signcryption was utilised in [9,10]; signcryption is heterogeneous and not certificate-based.…”

Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Secure Techniques for Channel Encryption in Wireless Body Area Network without the Certificate

Monga

Raju²,

Arunkumar

et al. 2022

Wireless Communications and Mobile Computing

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Wireless body area networks (WBANs) have seen an increase in popularity in recent years. Electromagnetic waves created by the body have the capacity to connect nodes all over the epidermis and throughout the body. If the gadget does not cause discomfort or harm, it can be linked to or implanted in the body. This is something that is currently being worked on. Other factors influence an individual’s genuine mobility and the ease with which they can use something. Participating in social networks may enhance the lives of members. WBANs equipped with sensors can monitor a user’s heart rate and communicate that information to the user’s physician. WBAN has been shown to be a dependable electronic health solution. WBAN technology allows you to follow your patient’s data no matter where they are, when they are, or what they are doing. However, because it runs in an open Wi-Fi environment and can conceal users’ physiological data, it is more vulnerable to assault. To deal with resource-constrained WBAN sensors and devices, a cryptographic solution that is both very efficient and extremely secure is required. Our primary priority will be the safeguarding of the WBAN network. WBAN contains several significant security weaknesses that must be addressed immediately. WBANs might benefit from certificateless signature encryption that uses a hyperelliptic curve and works over a secure channel. We are outpaced by the opposition by 4.58 milliseconds.

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Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Secure Techniques for Channel Encryption in Wireless Body Area Network without the Certificate

Monga

Raju²,

Arunkumar

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Authentication has typically been approached either using known cryptographic algorithms (e.g., public key cryptography, identity-based encryption) or by custom solutions that are generally based on key management and hashing. Elliptic curve-based signatures are used in [15], [33], [34], [38] to authenticate data in Layer 1, and authentication relying on identity-based encryption (IBE) signatures is studied in [13], [41] to authenticate the sensor nodes and a cloud server. Both of these studies present results from simulations only and for an outdated security level (80 bits) in the first study.…”

Section: Related Workmentioning

confidence: 99%

“…Specifically, most existing research regarding secure WBANs primarily investigated the design of lightweight security services for data collection (e.g., those produced in the sensor nodes and delivered to a base station) [8], [9], [10]. Other studies reported custom security protocols that address some but not all of the required security services [11]- [14], or practical deployments with experimental evaluation of security mechanisms are missing [15]- [17]. It is worth noting that custom protocols usually only address one single security service, and only for two actors in the WBAN (sensor node and base station, or sensor node and cloud server).…”

Section: Introductionmentioning

confidence: 99%

A Three-Tier Approach for Lightweight Data Security of Body Area Networks in E-Health Applications

et al. 2021

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Wireless body area networks (WBANs) can enable e-health applications under Internet of Things (IoT) scenarios. However, to use WBAN technologies in practical applications, sensitive data collected by wireless sensors must be protected when transmitted across a network and until accessed by authorized applications or end-users. Specifically, it is necessary to provide confidentiality, integrity, authentication and access control in WBANs. This paper presents a security approach to provide these security services in a layered WBAN system using lightweight cryptography. Layer 1 consists of the communication between the sensor nodes and the base station (data acquisition); Layer 2 involves the communication between the base station and a data repository (data storage); and Layer 3 deals with the communication of end-users to the repository (data access). In the past, security has focused only on Layer 1 and for limited security levels. In this paper, security concerns in the three layers of a WBAN system are studied and addressed. As primary contributions, the design details of a secure WBAN system prototype and the impact of lightweight cryptographic engines on the performance of the primary use cases in the WBAN system are highlighted from data acquisition until data use. We present a novel WBAN system prototype that ensures most of the required security services for standard security levels.

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“…CPK is a public key system based on the combination, which combines key production and key management, and can meet the requirements of identification authentication [23]. A CPK cryptosystem is based on the user identification information.…”

Section: Combined Public Key Algorithmmentioning

confidence: 99%

A Multi-Source Big Data Security System of Power Monitoring Network Based on Adaptive Combined Public Key Algorithm

et al. 2021

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The multi-source data collected by the power Internet of Things (IoT) provide the data foundation for the power big data analysis. Due to the limited computational capability and large amount of data collection terminals in power IoT, the traditional security mechanism has to be adapted to such an environment. In order to ensure the security of multi-source data in the power monitoring networks, a security system for multi-source big data in power monitoring networks based on the adaptive combined public key algorithm and an identity-based public key authentication protocol is proposed. Based on elliptic curve cryptography and combined public key authentication, the mapping value of user identification information is used to combine the information in a public and private key factor matrix to obtain the corresponding user key pair. The adaptive key fragment and combination method are designed so that the keys are generated while the status of terminals and key generation service is sensed. An identification-based public key authentication protocol is proposed for the power monitoring system where the authentication process is described step by step. Experiments are established to validate the efficiency and effectiveness of the proposed system. The results show that the proposed model demonstrates satisfying performance in key update rate, key generation quantity, data authentication time, and data security. Finally, the proposed model is experimentally implemented in a substation power IoT environment where the application architecture and security mechanism are described. The security evaluation of the experimental implementation shows that the proposed model can resist a series of attacks such as counterfeiting terminal, data eavesdropping, and tampering.

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A combined public-key scheme in the case of attribute-based for wireless body area networks

Cited by 18 publications

References 37 publications

[Retracted] Secure Techniques for Channel Encryption in Wireless Body Area Network without the Certificate

[Retracted] Secure Techniques for Channel Encryption in Wireless Body Area Network without the Certificate

A Three-Tier Approach for Lightweight Data Security of Body Area Networks in E-Health Applications

A Multi-Source Big Data Security System of Power Monitoring Network Based on Adaptive Combined Public Key Algorithm

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