使用未加密的网络流量解密来自物联网(间谍)摄像机的视频流量

P. Chaudhary, Avinash Narasimhan, R. Maiti
{"title":"使用未加密的网络流量解密来自物联网(间谍)摄像机的视频流量","authors":"P. Chaudhary, Avinash Narasimhan, R. Maiti","doi":"10.1145/3508398.3519356","DOIUrl":null,"url":null,"abstract":"Video traffic can create significant privacy and security threats to an organization or a smart home. Integration of IoT cameras has increased this problem manifold especially when there is no clear distinction among the protocols that can be used in IoT cameras and traditional video streaming or sharing applications. In this paper, we initiate a study on distinguishing video traffic in IoT cameras from that in video conferencing or sharing applications. We have used three IoT cameras, four video conferencing applications and two video sharing platforms to collect network traffic at network and above layers. We found a number of protocols like Real-time Transport Protocol, QUIC protocol, UDT protocol and TLS protocols that are used for transferring video traffic in these applications. We found that the protocols that carry IoT camera traffic have significantly different characteristics compared to that in video conferencing and sharing applications, e.g., in terms of video codec.","PeriodicalId":102306,"journal":{"name":"Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Demystifying Video Traffic from IoT (Spy) Camera using Undecrypted Network Traffic\",\"authors\":\"P. Chaudhary, Avinash Narasimhan, R. Maiti\",\"doi\":\"10.1145/3508398.3519356\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Video traffic can create significant privacy and security threats to an organization or a smart home. Integration of IoT cameras has increased this problem manifold especially when there is no clear distinction among the protocols that can be used in IoT cameras and traditional video streaming or sharing applications. In this paper, we initiate a study on distinguishing video traffic in IoT cameras from that in video conferencing or sharing applications. We have used three IoT cameras, four video conferencing applications and two video sharing platforms to collect network traffic at network and above layers. We found a number of protocols like Real-time Transport Protocol, QUIC protocol, UDT protocol and TLS protocols that are used for transferring video traffic in these applications. We found that the protocols that carry IoT camera traffic have significantly different characteristics compared to that in video conferencing and sharing applications, e.g., in terms of video codec.\",\"PeriodicalId\":102306,\"journal\":{\"name\":\"Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy\",\"volume\":\"112 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3508398.3519356\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3508398.3519356","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

视频流量会对组织或智能家居造成严重的隐私和安全威胁。物联网摄像机的集成增加了这个问题的多样性,特别是当物联网摄像机和传统视频流或共享应用程序中可使用的协议之间没有明确区分时。在本文中,我们开始研究如何区分物联网摄像机中的视频流量与视频会议或共享应用中的视频流量。我们使用了3台物联网摄像头、4个视频会议应用和2个视频共享平台,对网络及以上层的网络流量进行采集。我们发现了许多协议,如实时传输协议、QUIC协议、UDT协议和TLS协议,用于在这些应用程序中传输视频流量。我们发现,与视频会议和共享应用程序相比,承载物联网摄像头流量的协议具有显著不同的特征,例如在视频编解码器方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demystifying Video Traffic from IoT (Spy) Camera using Undecrypted Network Traffic
Video traffic can create significant privacy and security threats to an organization or a smart home. Integration of IoT cameras has increased this problem manifold especially when there is no clear distinction among the protocols that can be used in IoT cameras and traditional video streaming or sharing applications. In this paper, we initiate a study on distinguishing video traffic in IoT cameras from that in video conferencing or sharing applications. We have used three IoT cameras, four video conferencing applications and two video sharing platforms to collect network traffic at network and above layers. We found a number of protocols like Real-time Transport Protocol, QUIC protocol, UDT protocol and TLS protocols that are used for transferring video traffic in these applications. We found that the protocols that carry IoT camera traffic have significantly different characteristics compared to that in video conferencing and sharing applications, e.g., in terms of video codec.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信