Social Computing and Incentivized Sharing

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Social Computing and Incentivized Sharing
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Group Members

• UT Dallas
• Murat Kantarcioglu
• Alain Bensoussan (UT Dallas)
• Nathan Berg
• Bhavani Thuraisingham
• University of Michigan
• Lada Adamic
• UMBC
• Yelena Yesha
• Joel Sachs
• Anupam Joshi
• Tim Finin
• UTSA
• Shouhuai Xu
• Ravi Sandhu
• Purdue
• Elisa Bertino
• Chris Clifton

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social networks the AISL
incentivized sharing
information dissemination and filtering
SOCIALNETWORKS
privacy and security
UT Dallas
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social networks and information sharing

• distributing information
• determining who should receive information
• pulling information
• information filtering (e.g. digg, FriendFeed)
• securing information
• propagation of trust and distrust (reputation
  management)
• enhance trustworthiness of cryptographic key
  infrastructure
• incentivizing sharing
• individuals more or less likely to share with
  close contacts

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acquiring novelty and community structure

• data quality/provenance
• identify circular intelligence through proximity
  in social networks
• temporal source information can be mapped onto
  social network

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sharing acquiring open participation
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open participation information or noise?
Knowledge search is like oozing out knowledge
in human brains to the Internet. People who know
something better than others can present their
know-how, skills or knowledge'' NHN CEO Chae
Hwi-young
(It is) the next generation of search (it) is a
kind of collective brain -- a searchable database
of everything everyone knows. It's a culture of
generosity. The fundamental belief is that
everyone knows something. -- Eckart
Walther (Yahoo Research)
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A-space
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Network analysis can be used to determine
expertise
Preferred Helper best available
Preferred Helper just better
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and study competitive information sharing

• Java Forum asker -gt replier
• Task CN submitter -gt winner

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structure of complex networks

• heterogeneous connectivity and participation
• robustness
• connectivity
• propagation of misinformation from compromised
  nodes

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Secure social networks research goal

• We ask and address the following two questions
• How should we exploit social computing/networks
  for security purposes (e.g., assured information
  sharing)?
• How should we secure social computing/networks?

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Security by social computing

• protect cryptographic security
• detect and deter malicious players
• trustworthy and survivable storage
• reputation management
• reliable and secure information dissemination

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Security for social computing

• anonymous accountable social computing
• privacy-preserving social computing
• inferring private data from social connections
• secure incentive mechanisms
• manipulation-resistant social computing
• data quality/provenance
• obscuring identity and connections

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prior work

• Secure social networks privacy
• Network robustness (poster Xu et al.
  Generalized Epidemic Threshold, with
  Applications)
• Key signing Exploiting social networks for
  threshold signing (AsiaCCS'08)
• Privacy and trust in information sharing
  (Kantarcioglu UTDCS-21-08 )
• Information sharing filtering
• Inferring expertise in QA forums (Adamic et al.
  WWW0708)
• Using social networks to detect conflicts of
  interest (Joshi et. al WWW2006, ACM Tweb, 2008)
• online information sharing structure
  (blogs,twitter)
• Adamic (WI 2005,ICWSM0708)
• Finin, Joshi (WebKDD,ICWSM0708, many more)
• data quality and providence (detecting spam
  blogs) (AAAI 2006,ICWSM07,TREC2006)
• Social and semantic computing
• blending the social semantic (Sachs AAAI 07
  workshop)

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current research

• social networks as a filtering aggregation tool
• Yelena Yesha, Lada Adamic, Anupam Joshi, Tim
  Finin
• understand the role of social networks (e.g.
  FriendFeed, blogs) in information diffusion
• sentiment analysis and network structure
• security for and from social networks
• Shouhuai Xu, Ravi Sandhu
• Understanding properties of social networks under
  attack
• Using insights to make social computing more
  robust and secure
• incentivized sharing in social networks
• Murat Kantarcioglu, Lada Adamic
• Experiments effect of social connections on
  information sharing (peer recognition) and
  ability to recognize poor information sources
• Social engineering (phishing, etc.)

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social networks the AISL
incentivized sharing
information dissemination and filtering
SOCIALNETWORKS
privacy and security
UT Dallas