CANnolo: An Anomaly Detection System Based on LSTM Autoencoders for Controller Area Network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

CANnolo: An Anomaly Detection System Based on LSTM Autoencoders for Controller Area Network

Published:2021-06 Issue:2 Volume:18 Page:1913-1924
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Longari Stefano^ORCID,Nova Valcarcel Daniel Humberto,Zago Mattia^ORCID,Carminati Michele^ORCID,Zanero Stefano^ORCID

Funder

BVTech SpA

Spanish National Cybersecurity Institute (INCIBE) within the program “Grants for the Excellence of Advanced Cybersecurity Research Teams”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/9450206/09262960.pdf?arnumber=9262960

Cited by 72 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comprehensive intrusion detection method for the internet of vehicles based on federated learning architecture;Computers & Security;2024-12

2. CANival: A multimodal approach to intrusion detection on the vehicle CAN bus;Vehicular Communications;2024-09

3. Private and utility enhanced intrusion detection based on attack behavior analysis with local differential privacy on IoV;Computer Networks;2024-08

4. A Machine Learning-Based Toolbox for P4 Programmable Data-Planes;IEEE Transactions on Network and Service Management;2024-08

5. ECF-IDS: An Enhanced Cuckoo Filter-Based Intrusion Detection System for In-Vehicle Network;IEEE Transactions on Network and Service Management;2024-08

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

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3