Sybil Assault Detection in VANET with Efficient Network Analysis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Sybil Assault Detection in VANET with Efficient Network Analysis

Published:2024-04-25 Issue: Volume:3 Page:1-6
ISSN:
Container-title:2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon)
language:
Short-container-title:

Author:

Mukherjee Mathur Shubhra¹,Jadhav Nagesh²,Gupta Ravindra³

Affiliation:

1. Design and Technology University, Pune Sarvepalli Radakrishnan University,School of Computing, MIT Art,Department of Computer Science and Engineering,Bhopal

2. Design and Technology University,School of Computing, MIT Art,Department of Computer Science and Engineering,Pune

3. Sarvepalli Radakrishnan University,School of Computing,Department of Computer Science and Engineering,Bhopal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574857/10574907/10575257.pdf?arnumber=10575257

Reference29 articles.

1. Performance comparison between 802.11 and 802.11p for high speed vehicle in VANET

2. A Taxonomy of Sybil Attacks in Vehicular Ad-Hoc Network (VANET)

3. Survey on VANET security challenges and possible cryptographic solutions

4. dedicated short range communications roadside unit specifications;Perry,2017

5. Efficient Detection of Sybil attack Based on Cryptography in Vanet

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP