Szilvia Lestyán

PhD student

lestyan (at) crysys.hu

web: www.crysys.hu/~lestyan/
office: I.E. 429
tel: +36 1 463 2063

Current courses | Publications

Current Courses

IT Security Laboratory (VIHIMB01)

This laboratory extends and deepens the knowledge and skills obtained in the courses of the IT Security minor specialization by solving practical, hands-on exercises in real, or close-to-real environments.

Publications

2016

Privacy Preserving Data Aggregation over Multi-hop Networks

Sz. Lestyán

Infocommunications Journal, pp. 7-15, December 2016, Volume VIII, Number 4, ISSN 2061-2079, 2016.

Bibtex

@article {
   author = {Szilvia Lestyan},
   title = {Privacy Preserving Data Aggregation over Multi-hop Networks},
   journal = {Infocommunications Journal, pp. 7-15, December 2016, Volume VIII, Number 4, ISSN 2061-2079},
   year = {2016}
}

Abstract

2014

Efficient Apriori Based Algorithms for Privacy Preserving Frequent Itemset Mining

Sz. Lestyán, A. Csiszárik, A. Lukács

Cognitive Infocommunications (CogInfoCom), 2014 5th IEEE Conference on Cognitive Infocommunications, 2014.

Bibtex | Abstract

@article {
   author = {Szilvia Lestyan, Adrián Csiszárik, András Lukács},
   title = {Efficient Apriori Based Algorithms for Privacy Preserving Frequent Itemset Mining},
   journal = {Cognitive Infocommunications (CogInfoCom), 2014 5th IEEE Conference on Cognitive Infocommunications},
   year = {2014}
}

Abstract

Frequent Itemset Mining as one of the principal routine of data analysis and a basic tool of large scale information aggregation also bears a serous interest in Privacy Preserving Data Mining. In this paper Apriori based distributed, privacy preserving Frequent Itemset Mining algorithms are considered. Our secure algorithms are designed to fit in the Secure Multiparty Computation model of privacy preserving computation.