Adding user-level SPACe: Security, privacy, and context to intelligent multimedia information architectures

被引:0
|
作者
Jutla, Dawn N.
Kanevsky, Dimitri
机构
关键词
D O I
10.1109/WI-IATW.2006.28
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We provide a unified architecture, called SPACe, for Secure, Privacy-Aware, and Contextual multimedia systems in organizations. Many key and important architectural components already exist which contribute to a unified platform, including the classic data mining, security, and privacy-preserving components in conventional intelligent systems. After presenting an overview of our unified architecture, we focus on the state-of-the-art architectural components for user interaction in future systems - particularly multimedia voice interaction with intelligent systems. This paper shows how user-level conversational data mining (CDM) methods, coupled with biometric security, and enhanced with privacy-awareness, may be used with any Web information system architecture. Finally, we provide an example of our unified architecture through integrating a knowledge architecture for an e-finance application in the financial services domain. The resulting architectures benefit from added security, privacy-awareness, and contextual filtering at the user-level.
引用
收藏
页码:77 / 84
页数:8
相关论文
共 50 条
  • [1] Learning with User-Level Privacy
    Levy, Daniel
    Sun, Ziteng
    Amin, Kareem
    Kale, Satyen
    Kulesza, Alex
    Mohri, Mehryar
    Suresh, Ananda Theertha
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
  • [2] Towards mobility reports with user-level privacy
    Kapp, Alexandra
    Nunez von Voigt, Saskia
    Mihaljevic, Helena
    Tschorsch, Florian
    [J]. JOURNAL OF LOCATION BASED SERVICES, 2023, 17 (02) : 95 - 121
  • [3] On Providing User-Level Data Privacy in Cloud
    Revalla, Madhuri
    Gupta, Ajay
    Bhuse, Vijay
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON CLOUD SECURITY MANAGEMENT (ICCSM-2013), 2013, : 106 - 114
  • [4] User-Level Differential Privacy With Few Examples Per User
    Ghazi, Badih
    Kamath, Pritish
    Kumar, Ravi
    Manurangsi, Pasin
    Meka, Raghu
    Zhang, Chiyuan
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
  • [5] Security and Performance in the Delegated User-level Virtualization
    Chen, Jiahao
    Li, Dingji
    Mi, Zeyu
    Liu, Yuxuan
    Zang, Binyu
    Guan, Haibing
    Chen, Haibo
    [J]. PROCEEDINGS OF THE 17TH USENIX SYMPOSIUM ON OPERATING SYSTEMS DESIGN AND IMPLEMENTATION, OSDI 2023, 2023, : 227 - 245
  • [7] User-Level Runtime Security Auditing for the Cloud
    Majumdar, Suryadipta
    Madi, Taous
    Wang, Yushun
    Jarraya, Yosr
    Pourzandi, Makan
    Wang, Lingyu
    Debbabi, Mourad
    [J]. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2018, 13 (05) : 1185 - 1199
  • [8] Continual Observation under User-level Differential Privacy
    Dong, Wei
    Luo, Qiyao
    Yi, Ke
    [J]. 2023 IEEE SYMPOSIUM ON SECURITY AND PRIVACY, SP, 2023, : 2190 - 2207
  • [9] Defending Against User-Level Information Exfiltration
    Michener, John R.
    [J]. IT PROFESSIONAL, 2012, 14 (06) : 30 - 36
  • [10] Seamless user-level handoff in ubiquitous multimedia service delivery
    Cui, Y
    Nahrstedt, K
    Xu, DY
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2004, 22 (02) : 137 - 170