Research, Projects and Topics for Theseses (MSc or PhD) Presented by Prof. Ehud Gudes.

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Presentation transcript:

Research, Projects and Topics for Theseses (MSc or PhD) Presented by Prof. Ehud Gudes

3/18/20162 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

3/18/20163 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 Cross- community reputation in virtual communities DT: A new database security project. One of the topic is Role mining

3/18/20164 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

3/18/20165 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