A Secure Model for Machine to Machine Device Domain Based Group in a Smart City Architecture

Ouaissa, Mariya; Rhattoy, Abdallah

doi:10.22266/ijies2019.0228.16

Cited by 9 publications

(6 citation statements)

References 21 publications

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“…The presence of IoT technology is one of the attempts made to enhance the quality of the lives of people. This new technology is hoped to be able to change human life in all respects [33]. In safe city life, good policies will result.…”

Section: Results Datamentioning

confidence: 99%

Smart City: The main assist factor for smart cities Analysis: a systematic review

Ningrum¹

2024

IJIES

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Initially, A smart city was originally a solution used to deal with the environmental crisis that took place in the 20th century. Smart city concepts derive from the use of technology and knowledge to enhance society's efficiency and competitiveness. The indicators are needed that support the achievement of a smart city. We will analyze the indicators that can impact the smart city achievement in this article. The aim of this study is to identify the indicators that influence the process of developing a smart city in order to be able to help other cities to establish sustainable policies and work plans so that they can prepare themselves for a smart city consistently. From the results of content analysis and descriptions of literature reviews, it is concluded that the indicators most used in the assessment of smart cities are divided into eight groups of indicators, including governance, economy, living, mobility, environment, people, branding, and demography.

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Section: Results Datamentioning

confidence: 99%

Smart City: The main assist factor for smart cities Analysis: a systematic review

Ningrum¹

2024

IJIES

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“…It has been observed that the time required for a data packet sent by the UE to reach the server in the core network and for the server to send the response back to the UE is approximately 10 ms. The UE performs one asymmetric encryption operation, which is 100 µs [15], to compute SUCI and then sends the SUCI to the core network. The UDM decrypts the SUCI to have SUPI for confirmation.…”

Section: A Performance Analysis Of Drone Authenticationmentioning

confidence: 99%

Authentication and Handover Challenges and Methods for Drone Swarms

Aydin,

Kurt,

Ozdemir

et al. 2022

Preprint

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Drones are begin used for various purposes such as border security, surveillance, cargo delivery, visual shows and it is not possible to overcome such intensive tasks with a single drone. In order to expedite performing such tasks, drone swarms are employed. The number of drones in a swarm can be high depending on the assigned duty. The current solution to authenticate a single drone using a 5G new radio (NR) network requires the execution of two steps. The first step covers the authentication between a drone and the 5G core network, and the second step is the authentication between the drone and the drone control station. It is not feasible to authenticate each drone in a swarm with the current solution without causing a significant latency.Authentication keys between a base station (BS) and a user equipment (UE) must be shared with the new BS while performing handover. The drone swarms are heavily mobile and require several handovers from BS to a new BS. Sharing authentication keys for each drone as explained in 5G NR is not scalable for the drone swarms. Also, the drones can be used as a UE or a radio access node on board unmanned aerial vehicle (UxNB). A UxNB may provide service to a drone swarm in a rural area or emergency. The number of handovers may increase and the process of sharing authentication keys between UxNB to new UxNB may be vulnerable to eavesdropping due to the wireless connectivity.In this work, we present a method where the time and the number of the communication for the authentication of a new drone joining the swarm are less than 5G NR. In addition, groupbased handover solutions for the scenarios in which the base stations are terrestrial or mobile are proposed to overcome the scalability and latency issues in the 5G NR.

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“…resists against the replay and man-in-the-middle attack. If the IF code resists against these two attacks, then the embedded tools (OFMC, ATSE, SATMC, TA4SP) give the result of SAFE, state; otherwise, it gives the UNSAFE state [25].…”

Section: Basics Of Avispamentioning

confidence: 99%

A Lightweight and Secured Certificate-Based Proxy Signcryption (CB-PS) Scheme for E-Prescription Systems

et al. 2020

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Electronic prescription (E-prescription) is an emerging technology that allows health practitioners (doctors, physicians, pharmacists, or nurses) to electronically transmit prescriptions to pharmacies. E-prescription systems allow doctors to avoid traditional medical practices in which prescriptions are sent manually in handwritten form. Additionally, in cases in which a patient may not be able to collect the medication in person due to physical disabilities, the medications can be delivered to the patient's home directly. Furthermore, payments can also be made online (e.g., using credit cards or bank transfers). However, these distinctive features require a series of guidelines for the successful deployment of the E-prescription system due to stringent legal requirements and privacy regulations. Two major security requirements i.e. confidentiality and authentication need to be addressed. In general, the solution to ensuring confidentiality and authentication lies in the combination of both the encryption and digital signature functions in a single logic step called signcryption. Therefore, in this paper, we present a lightweight and provable secured certificate-based proxy signcryption (CB-PS) scheme for e-prescription systems. The formal security verification uses the Automated Validation of Internet Security Protocols and Applications (AVISPA) tool along with informal security analysis, which authenticates that the proposed CB-PS scheme can potentially be implemented in resource-constrained low-computing electronic devices in E-prescription systems.

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A Secure Model for Machine to Machine Device Domain Based Group in a Smart City Architecture

Cited by 9 publications

References 21 publications

Smart City: The main assist factor for smart cities Analysis: a systematic review

Smart City: The main assist factor for smart cities Analysis: a systematic review

Authentication and Handover Challenges and Methods for Drone Swarms

A Lightweight and Secured Certificate-Based Proxy Signcryption (CB-PS) Scheme for E-Prescription Systems

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