Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kato Mivule"'
Autor:
Kato Mivule
Publikováno v:
Procedia Computer Science. 114:149-158
With the increasing number of sophisticated cyber attacks on both government and private infrastructure, cybersecurity data sharing is critical for the advancement of collaborative research among various entities, both in government, private sector,
Publikováno v:
2017 Intelligent Systems Conference (IntelliSys).
The continuous advance in recent cloud-based computer networks has generated a number of security challenges associated with intrusions in network systems. With the exponential increase in the volume of network traffic data, involvement of humans in
Autor:
Kato Mivule
Publikováno v:
International Journal of Advanced Computer Science and Applications. 8
Privacy remains a major concern when using search engines to find for information on the web due to the fact that search engines own massive resources in preserving search logs of each user and organizations. However, many of the present query search
Autor:
Claude Turner, Kato Mivule
Publikováno v:
Complex Adaptive Systems
During the data privacy process, the utility of datasets diminishes as sensitive information such as personal identifiable information (PII) is removed, transformed, or distorted to achieve confidentiality. The intractability of attaining an equilibr
Publikováno v:
Complex Adaptive Systems
Many organizations transact in large amounts of data often containing personal identifiable information (PII) and various confidential data. Such organizations are bound by state, federal, and international laws to ensure that the confidentiality of
Autor:
Blake Anderson, Kato Mivule
Publikováno v:
2015 Science and Information Conference (SAI).
The publication and sharing of network trace data is a critical to the advancement of collaborative research among various entities, both in government, private sector, and academia. However, due to the sensitive and confidential nature of the data i
Autor:
Vida Abedi, Ruben Acuña, Mohammad Ayache, Mahmood Bahar, Azita A. Bahrami, Josep Bassaganya-Riera, Christian Baumgartner, Paul Bejjani, Christian Berger-Vachon, Jonathan Berkhahn, Michael Berry, H.B. Çakmak, E. Çalık, A. Çavuşoğlu, Adria Carbo, Steven M. Carr, Gloria Castellano, QinQun Chen, Xiumin Chen, Jacques Chomilier, Donald Craig, Andreas Dander, H. Dawn Marshall, Leonidas Deligiannidis, J. Demongeot, Luis R. Domingo, Andrei Doncescu, Zhong-Hui Duan, Abbass Zein Eddine, Behrouz H. Far, Joaquim Cezar Felipe, C. Ferrer, Burtram Fielding, Junaid Gamieldien, Dan Gnansia, Thomas Goulding, D. Graveron-Demilly, François Guerin, Michael Handler, Mohammad Shabbir Hasan, Ray R. Hashemi, H. Hazgui, Wei He, A. Henrion Caude, Raquel Hontecillas, Stefan Hoops, Arnaud Jeanvoine, V. Kantabutra, Lina J. Karam, D.A. Karras, H. Kaya, Bo Kim, Zoé Lacroix, Dimitri Lefebvre, Andy Lin, Jian-Qin Liu, Pinyi Lu, Yongguo Mei, B.G. Mertzios, Kato Mivule, Emad A. Mohammed, Vicente Molieri, Asish Mukhopadhyay, Christopher Naugler, Michael Netzer, Haruhiko Nishimura, Sou Nobukawa, J. Oliver, Zhihui Pang, Satish Ch. Panigrahi, G.A. Papakostas, Nikolaos Papandreou, Vitor Manuel Dinis Pereira, Bernhard Pfeifer, Casandra Philipson, R. Ponalagusamy, Jacob Porter, Junfeng Qu, Ponnadurai Ramasami, Lydia Rhyman, Branko Ristic, Ali Saad, Mariana Yuri Sasazaki, Jose A. Sáez, B. Şen, Md. Shafiul Alam, Maad Shatnawi, Pierre Siegel, B.G. Sileshi, Alex Skvortsov, Desmond J. Smith, Yinglei Song, Liao Shaoyi Stephen, Daniel Swain, Peter Sylvester, Francisco Torrens, Eric Truy, Nicholas R. Tyler, D. van Ormondt, Todd Wareham, Yujing Xu, Teruya Yamanishi, Iyad Zaarour, Liqing Zhang, Guangquan Zhou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63ee42d2b481c871259b9f4382e5e9aa
https://doi.org/10.1016/b978-0-12-802508-6.09987-7
https://doi.org/10.1016/b978-0-12-802508-6.09987-7
Autor:
Kato Mivule
Genomic data provides clinical researchers with vast opportunities to study various patient ailments. Yet the same data contains revealing information, some of which a patient might want to remain concealed. The question then arises: How can an entit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7122ab8e52474290a57054098c77dc95
https://doi.org/10.1016/b978-0-12-802508-6.00033-8
https://doi.org/10.1016/b978-0-12-802508-6.00033-8
Autor:
Kato Mivule
Publikováno v:
International Journal of Advanced Computer Science and Applications. 5
In order to comply with data confidentiality requirements, while meeting usability needs for researchers, entities are faced with the challenge of how to publish privatized data sets that preserve the statistical traits of the original data. One solu
Autor:
Claude Turner, Kato Mivule
Publikováno v:
Complex Adaptive Systems
One of the challenges of implementing differential data privacy, is that the utility (usefulness) of the privatized data tends to diminish even as confidentiality is guaranteed. In such settings, due to excessive noise, original data suffers loss of