حفظ ایمنی و حفظ حریم خصوصی سیستم اجتناب از برخورد
ترجمه نشده

حفظ ایمنی و حفظ حریم خصوصی سیستم اجتناب از برخورد

عنوان فارسی مقاله: به سمت حفظ ایمنی و حفظ حریم خصوصی سیستم اجتناب از برخورد در مه 5G بر اساس اینترنت وسایل نقلیه
عنوان انگلیسی مقاله: Towards secure and privacy preserving collision avoidance system in 5G fog based Internet of Vehicles
مجله/کنفرانس: سیستم های کامپیوتری نسل آینده – Future Generation Computer Systems
رشته های تحصیلی مرتبط: مهندسی کامپیوتر، مهندسی عمران
گرایش های تحصیلی مرتبط: هوش مصنوعی، حمل و نقل
کلمات کلیدی فارسی: شبکه های تلفن همراه 5G، محاسبات مه، سیستم حمل و نقل هوشمند، امنیت، سیستم اجتناب از برخورد
کلمات کلیدی انگلیسی: 5G cellular networks, fog computing, intelligent transportation system, security, collision avoidance system
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.future.2018.12.031
دانشگاه: Sejong University, Seoul, Republic of Korea
صفحات مقاله انگلیسی: 47
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 5.341 در سال 2017
شاخص H_index: 85 در سال 2019
شاخص SJR: 0.844 در سال 2017
شناسه ISSN: 0167-739X
شاخص Quartile (چارک): Q1 در سال 2017
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
کد محصول: E12005
فهرست مطالب (انگلیسی)

Abstract

1. Introduction

2. Related work

3. System models and design goals

4. Preliminaries

5. Proposed protocol

6. Security and performance analysis

7. Conclusion

Acknowledgments

References

بخشی از مقاله (انگلیسی)

Abstract

Current avoidance systems mainly focus on the safety of the car occupants. The surrounding entities including the pedestrians, the cyclists are assumed to use a different avoidance system for their safety. Vehicle speed is reported as one of the major factors that causes such severe road accidents that affect other entities on the road. In response, several solutions have been implemented to control the causalities of over speeding ranging from speed camera, speed detectors to car avoidance systems. However, those solutions have not significantly improved the rate of traffic accidents and their impact. Additionally, the current solutions do not ensure timely notification of all the road users (surrounding vehicle drivers, pedestrians or others) that can alleviate crash causalities in case of fatal traffic accidents. The fifth generation (5G) cellular network is predicted to overcome the current limitations of Internet-of-Vehicles (IoV) by offering fast, low latency and reliable connections to enable IoV based applications. Fog computing has also been proposed to complement IoV by bringing computational entities in nearby proximity of the vehicles. 5G based fog vehicular networks is a new paradigm that empower real-time and low latency services for Intelligent Transportation System (ITS). In this paper we proposed a secure and privacy-preserving collision avoidance system in 5G fog based IoV. The fog devices are used to collect speed violation report (TVR) sent by the vehicles’ speed sensors. The fog nodes aggregate multiple TVRs, verify the signatures on the TVRs and broadcast anonymous notifications to other entities in the vicinity. The protocol makes use of certificateless aggregate signcryption coupled with pseudonymous technique as the building blocks to ensure authentication, integrity, confidentiality and privacy preservation respectively. The batch verification technique is used by the fog devices to allow simultaneous TVRs signature verification for a timely response. The authorization of reporting speed sensors is both guaranteed by the location-based information along with the digital signature to discard all the bogus TVRs. The analysis of the protocol confirms its lightweightness and efficiency.