Privacy-Preserving Multi-Party Directory Services

Autor: Yuzhe Tang, Kai Li, Katchaguy Areekijseree, Shuigeng Zhou, Liting Hu

Publikováno v: EAI Endorsed Transactions on Security and Safety, Vol 6, Iss 19 (2019)

In the era of big data, the data-processing pipeline becomes increasingly distributed among multiple sites. To connect data consumers with remote producers, a public directory service is essential. This is evidenced by adoption in emerging applicatio

Externí odkaz: https://doaj.org/article/594492e09d8b4cba85404b41bfa6e8cd

DE-Crawler: A Densification-Expansion Algorithm for Online Data Collection

Autor: Sucheta Soundarajan, Katchaguy Areekijseree

Publikováno v: ASONAM

Over the past two decades, online social networks have attracted a great deal of attention from researchers. However, before one can gain insight into the behavior or structure of a network, one must first collect appropriate data. Data collection po

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a8812e252c235d67b239b87cc67388e3
https://doi.org/10.1109/asonam.2018.8508311

Secure and Efficient Multi-Party Directory Publication for Privacy-Preserving Data Sharing

Autor: Balaji Palanisamy, Arun Iyengar, Shuang Wang, Katchaguy Areekijseree, Yuzhe Richard Tang, Ju Chen

Publikováno v: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030017002
SecureComm (1)

In the era of big-data, personal data is produced, collected and consumed at different sites. A public directory connects data producers and consumers over the Internet and should be constructed securely given the privacy-sensitive nature of personal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::498de0bc26b203cb00625726aa039332
https://doi.org/10.1007/978-3-030-01701-9_5

Predicted max degree sampling: Sampling in directed networks to maximize node coverage through crawling

Autor: Sucheta Soundarajan, Katchaguy Areekijseree, Ricky Laishram

Publikováno v: IEEE BigData
INFOCOM Workshops

When studying large-scale networks, including the Web and computer networks, it is first necessary to collect appropriate data. There is a large body of literature on web crawling and network sampling in general; however, this work typically assumes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f570f10d3f78cd53acdd9969d3336ad2
https://doi.org/10.1109/bigdata.2016.7841092

Volunteered mobile sourcing with multi-objective ant colony optimization

Autor: Tiranee Achalakul, Katchaguy Areekijseree

Publikováno v: 2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE).

Volunteered computing has been one of the popular distributed computing concepts recently. The basic idea is to allow computer owners to donate the computing power and storage to scientific applications. In this research, we are interested in the uti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1c97b40ccd41230331b1cdf2f45b0d73
https://doi.org/10.1109/jcsse.2014.6841875