亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Efficient pseudonym changing schemes for location privacy protection in VANETs

化名 架空(工程) 计算机科学 计算机网络 无线自组网 车载自组网 计算机安全
作者
Yeong-Sheng Chen,Tang-Te Lo,Chiu-Hua Lee,Ai-Chun Pang
出处
期刊:International Conference on Connected Vehicles and Expo 卷期号:: 937-938 被引量:14
标识
DOI:10.1109/iccve.2013.6799933
摘要

To achieve location privacy for Location-Based Services (LBS) in the Vehicular Ad-hoc Network (VANET) environment, many pseudonym changing mechanisms have been proposed in the literature. Although some exiting mechanisms, such as AGE, SLOW, SPOT and can achieve high security level, yet much overhead is incurred due to a large number of pseudonym changes. While performing pseudonym changes, the services from the location server will be interrupted and the routing has to be reestablished, causing communication overheads. In light of this observation, this study proposes efficient pseudonym changing schemes to minimize the number of pseudonym changes while still achieving high location privacy protection level. Criteria for performing pseudonym changing are proposed by considering the age of pseudonyms, the speed, and the moving direction of the vehicles. Thus, four mechanisms AS, AD, SD and ADS are developed by using the combination of these three factors. Simulations have been carried out with the SUMO simulator. Compared with other existing pseudonym changing approaches, simulation results show that the proposed mechanisms have better performance in the sense of achieving high protection rate with less number of pseudonym changes, and, in particular, ADS always has the best performance.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
3秒前
5秒前
隐形期待完成签到,获得积分10
5秒前
Lucas应助Sunny采纳,获得30
5秒前
10秒前
10秒前
Zhang发布了新的文献求助10
11秒前
宋向荣完成签到 ,获得积分10
12秒前
12秒前
爱u发布了新的文献求助10
13秒前
零灵完成签到,获得积分10
16秒前
爵士黄瓜发布了新的文献求助10
17秒前
机智小馒头完成签到,获得积分10
19秒前
Lucas应助江直树附体采纳,获得30
20秒前
靓丽的山蝶完成签到 ,获得积分10
22秒前
爵士黄瓜完成签到,获得积分10
22秒前
科研通AI6.1应助爱u采纳,获得10
23秒前
江直树附体完成签到,获得积分10
27秒前
27秒前
29秒前
科研通AI6.1应助韩.采纳,获得10
31秒前
eclo完成签到 ,获得积分10
31秒前
oleskarabach完成签到,获得积分20
33秒前
34秒前
可爱的函函应助jiaxiang采纳,获得20
36秒前
38秒前
Cpp完成签到 ,获得积分10
40秒前
yyy完成签到,获得积分20
41秒前
41秒前
研友_VZG7GZ应助糊涂的飞荷采纳,获得10
42秒前
51秒前
54秒前
54秒前
小蘑菇应助灯火阑珊曦采纳,获得10
55秒前
55秒前
铭铭发布了新的文献求助10
56秒前
兮豫完成签到 ,获得积分10
56秒前
收纳旧时光完成签到,获得积分10
56秒前
tizzy发布了新的文献求助10
58秒前
59秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Cronologia da história de Macau 5000
Merrill's Atlas of Radiographic Positioning and Procedures - 3-Volume Set, 16th Edition 2000
Matrix Methods in Data Mining and Pattern Recognition 540
Interactions of Vowel Quality and Prosody in East Slavic 500
Vander's Renal Physiology第10版 500
Materials Informatics Molecules, Crystals and Beyond A volume in Acta Materialia Book Series 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7059229
求助须知:如何正确求助?哪些是违规求助? 8722263
关于积分的说明 18463036
捐赠科研通 6583867
什么是DOI,文献DOI怎么找? 3123246
关于科研通互助平台的介绍 2215417
邀请新用户注册赠送积分活动 2098862