A Context-Aware System to Secure Enterprise Content

Oyindamola Oluwatimi, Daniele Midi, E. Bertino
{"title":"A Context-Aware System to Secure Enterprise Content","authors":"Oyindamola Oluwatimi, Daniele Midi, E. Bertino","doi":"10.1145/2914642.2914648","DOIUrl":null,"url":null,"abstract":"In this paper, we present an architecture and implementation of a secure, automated, proximity-based access control that we refer to as Context-Aware System to Secure Enterprise Content (CASSEC). Using the pervasive WiFi and Bluetooth wireless devices as components in our underlying positioning infrastructure, CASSEC addresses two proximity-based scenarios often encountered in enterprise environments: Separation of Duty and Absence of Other Users. The first scenario is achieved by using Bluetooth MAC addresses of nearby occupants as authentication tokens. The second scenario exploits the interference of WiFi received signal strength when an occupant crosses the line of sight (LOS). Regardless of the scenario, information about the occupancy of a particular location is periodically extracted to support continuous authentication. To the best of our knowledge, our approach is the first to incorporate WiFi signal interference caused by occupants as part of proximity-based access control system. Our results demonstrate that it is feasible to achieve great accuracy in localization of occupants in a monitored room.","PeriodicalId":388649,"journal":{"name":"Proceedings of the 21st ACM on Symposium on Access Control Models and Technologies","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 21st ACM on Symposium on Access Control Models and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2914642.2914648","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

In this paper, we present an architecture and implementation of a secure, automated, proximity-based access control that we refer to as Context-Aware System to Secure Enterprise Content (CASSEC). Using the pervasive WiFi and Bluetooth wireless devices as components in our underlying positioning infrastructure, CASSEC addresses two proximity-based scenarios often encountered in enterprise environments: Separation of Duty and Absence of Other Users. The first scenario is achieved by using Bluetooth MAC addresses of nearby occupants as authentication tokens. The second scenario exploits the interference of WiFi received signal strength when an occupant crosses the line of sight (LOS). Regardless of the scenario, information about the occupancy of a particular location is periodically extracted to support continuous authentication. To the best of our knowledge, our approach is the first to incorporate WiFi signal interference caused by occupants as part of proximity-based access control system. Our results demonstrate that it is feasible to achieve great accuracy in localization of occupants in a monitored room.
保护企业内容的上下文感知系统
在本文中,我们提出了一个安全的、自动化的、基于邻近的访问控制的体系结构和实现,我们将其称为保护企业内容的上下文感知系统(CASSEC)。CASSEC使用普及的WiFi和蓝牙无线设备作为底层定位基础设施的组件,解决了企业环境中经常遇到的两种基于接近度的场景:职责分离和其他用户缺席。第一个场景是通过使用附近使用者的蓝牙MAC地址作为身份验证令牌来实现的。第二种方案是利用乘员越过视线(LOS)时WiFi接收信号强度的干扰。无论场景如何,都会定期提取有关特定位置占用情况的信息,以支持持续身份验证。据我们所知,我们的方法是第一个将由居住者引起的WiFi信号干扰作为基于邻近的门禁系统的一部分。我们的研究结果表明,在被监控的房间中实现居住者定位的高精度是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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