Secure Data Exchange Scheme for Smart Grids

Nyangaresi, Vincent Omollo; Moundounga, Anselme Russel Affane

doi:10.1109/rtsi50628.2021.9597276

Cited by 36 publications

(31 citation statements)

References 27 publications

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“…Similarly, the machine learning based automated identity confirmation algorithm by Poulter et al [47] has scalability limitations. Although this federated learning based achieves high privacy during the authentication process, it has high energy consumptions [48] .…”

Section: Related Workmentioning

confidence: 99%

The Internet of Things Security and Privacy: Current Schemes, Challenges and Future Prospects

Nyakomitta

Ogara

Abounji

2022

j. of Comput. sci. res.

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The Internet of Things devices and users exchange massive amount of data. Some of these exchanged messages are highly sensitive as they involve organizational, military or patient personally identifiable information. Therefore, many schemes and protocols have been put forward to protect the transmitted messages. The techniques deployed in these schemes may include blockchain, public key infrastructure, elliptic curve cryptography, physically unclonable function and radio frequency identification. In this paper, a review is provided of these schemes including their strengths and weaknesses. Based on the obtained results, it is clear that majority of these protocols have numerous security, performance and privacy issues.

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Section: Related Workmentioning

confidence: 99%

The Internet of Things Security and Privacy: Current Schemes, Challenges and Future Prospects

Nyakomitta

Ogara

Abounji

2022

j. of Comput. sci. res.

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“…However, this scheme cannot provide protection against packet replays, linkability, impersonation, MitM and packet replays. In addition, this scheme is vulnerable when some group members turn out to be malicious [70] . Although digital certificate based schemes can help address this challenge, certificate and public key management presents high complexity for body sensors.…”

Section: Related Workmentioning

confidence: 99%

Certificateless Algorithm for Body Sensor Network and Remote Medical Server Units Authentication over Public Wireless Channels

Taher

Yasir

Isiaho

et al. 2022

j. of Comput. sci. res.

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Wireless sensor networks process and exchange mission-critical data relating to patients’ health status. Obviously, any leakages of the sensed data can have serious consequences which can endanger the lives of patients. As such, there is need for strong security and privacy protection of the data in storage as well as the data in transit. Over the recent past, researchers have developed numerous security protocols based on digital signatures, advanced encryption standard, digital certificates and elliptic curve cryptography among other approaches. However, previous studies have shown the existence of many security and privacy gaps that can be exploited by attackers to cause some harm in these networks. In addition, some techniques such as digital certificates have high storage and computation complexities occasioned by certificate and public key management issues. In this paper, a certificateless algorithm is developed for authenticating the body sensors and remote medical server units. Security analysis has shown that it offers data privacy, secure session key agreement, untraceability and anonymity. It can also withstand typical wireless sensor networks attacks such as impersonation, packet replay and man-in-the-middle. On the other hand, it is demonstrated to have the least execution time and bandwidth requirements.

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“…On its part, the technique in [32] effectively addresses the security challenges in [33]. Nevertheless, the protocol in [32] is not immune against DoS, location tracking and cloning attacks [34], [35]. These challenges are addressed by the joint verification schemes presented in [36], [37] and [38].…”

Section: Related Workmentioning

confidence: 99%

Internet of medical things: Prospects, challenges and future research directions

Isiaho¹,

Omieno²

2022

Global J. Eng. Technol. Adv.

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The internet of medical things has been developed to facilitate remote monitoring of the patients as well as the elderly. Unfortunately, the communication between the remote patients and the medical doctors is the open wireless channels. Therefore, the data transmitted can be eavesdropped, intercepted, replayed or modified. This poses serious challenges to patient privacy as well as endangering patient life. To curb this, numerous schemes have been put forward by various researchers over the recent past. In this paper, we provide an extensive review of these schemes in an effort to identify any gaps. Consequently, we show that the current security and privacy preservation schemes have many challenges that render the communication process insecure or inefficient. As such, we offer some suggestions for the requirements of an ideal security technique that will not only be efficient but also provably secure.

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Secure Data Exchange Scheme for Smart Grids

Cited by 36 publications

References 27 publications

The Internet of Things Security and Privacy: Current Schemes, Challenges and Future Prospects

The Internet of Things Security and Privacy: Current Schemes, Challenges and Future Prospects

Certificateless Algorithm for Body Sensor Network and Remote Medical Server Units Authentication over Public Wireless Channels

Internet of medical things: Prospects, challenges and future research directions

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