PACMAN: Personal Agent for Access Control in Social Media
Title | PACMAN: Personal Agent for Access Control in Social Media |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Misra, G., Such, J. M. |
Journal | IEEE Internet Computing |
Volume | 21 |
Pagination | 18–26 |
ISSN | 1089-7801 |
Keywords | Access Control, appropriate audience selection, authorisation, Facebook, friend network, Human Behavior, human factors, Internet, Internet/Web technologies, machine learning, Media, multi-agent systems, PACMAN, personal agent, personal agent for access control, personal assistant agent, personalized access control decisions, privacy, pubcrawl, recommender systems, Scalability, Social Agents, social context, social media, social networking (online), Standards |
Abstract | Given social media users' plethora of interactions, appropriately controlling access to such information becomes a challenging task for users. Selecting the appropriate audience, even from within their own friend network, can be fraught with difficulties. PACMAN is a potential solution for this dilemma problem. It's a personal assistant agent that recommends personalized access control decisions based on the social context of any information disclosure by incorporating communities generated from the user's network structure and utilizing information in the user's profile. PACMAN provides accurate recommendations while minimizing intrusiveness. |
URL | https://ieeexplore.ieee.org/document/8114620 |
DOI | 10.1109/MIC.2017.4180831 |
Citation Key | misra_pacman:_2017 |
- personal agent
- standards
- social networking (online)
- social media
- social context
- Social Agents
- Scalability
- recommender systems
- pubcrawl
- privacy
- personalized access control decisions
- personal assistant agent
- personal agent for access control
- Access Control
- PACMAN
- multi-agent systems
- Media
- machine learning
- Internet/Web technologies
- internet
- Human Factors
- Human behavior
- friend network
- authorisation
- appropriate audience selection