Download Ehud Gudes

Research, Projects and Topics
for Theseses (MSc or PhD)
Presented by
Prof. Ehud Gudes
Research
Databases
I have worked in various area of databases including physical
design and indexing, concurrency control, schema integration and
query evaluation, Current research focuses on XML.
Data mining (a databases/AI sub-area)
I have worked on association rules mining, on temporal association
rules and on XML and Graph mining. Current research focuses on
graph mining and sequence mining.
Data Security
My work concentrates mainly on authorization models for
databases, workflow and RBAC systems. Recent work includes
information flow models and database encryption, using data
mining for Intrusion detection, and Trust & Reputation in virtual
communities
General AI (Artificial Intelligence)
I am also interested in other areas of AI beside data mining such as
Constraints satisfaction and Knowledge-based systems
5/22/2017
2
Funded Projects
IMG4 – a magnet project involving Chip testing companies
like: Nova, AMAT, KLA, etc. My role is Data mining for
improving the SETUP automation process and an Ontology
building project
DT: EDARE - A very large research grant on network
security for a large telecommunication company for
identifying new Malware
DT: AAA/TRIC – a very large project managed by me for
providing Trust & Reputation, and in particular Crosscommunity reputation in virtual communities
DT: A new database security project. One of the topic is
Role mining
5/22/2017
3
Current and future topics
for theses
XML/Graph mining and Indexing
K-anonymization and Privacy preserving data mining
Database encryption and Access control
Temporal and Sequence data mining
Models for Trust and Reputation
Non relational databases
Role mining
5/22/2017
4
Example – Sanitized and privacy
preserving distributed frequent
pattern mining
Several papers exist on privacy preserving association rules
mining in distributed environments (horizontal and vertical)
New research on Sanitized distributed association rules
New research on frequent patterns such as: textual,
sequences
5/22/2017
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