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Languages: From Formal to Natural

Volume 5533 of the series Lecture Notes in Computer Science pp 177-191

Masking Gateway for Enterprises

  • Sara PoratAffiliated withIBM Haifa Research Lab, Haifa University
  • , Boaz CarmeliAffiliated withIBM Haifa Research Lab, Haifa University
  • , Tamar DomanyAffiliated withIBM Haifa Research Lab, Haifa University
  • , Tal DroryAffiliated withIBM Haifa Research Lab, Haifa University
  • , Ksenya KvelerAffiliated withIBM Haifa Research Lab, Haifa University
  • , Alex MelamentAffiliated withIBM Haifa Research Lab, Haifa University
  • , Haim NelkenAffiliated withIBM Haifa Research Lab, Haifa University

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Abstract

Today’s business world revolves around the need to share data. On the other hand, the leakage of sensitive data is becoming one of our main security threats. Organizations are becoming more aware of the need to control the information that flows out of their boundaries and must more strictly monitor this flow in order to comply with government regulations. This paper presents an SOA-based solution called Masking Gateway for Enterprises (MAGEN), which allows the sharing of data while safeguarding sensitive business data. The major novelty lies in architecting a single system that handles a wide range of scenarios in a centralized and unified manner.

Keywords

Data Leakage Prevention (DLP) data masking de-identification anonymization Service Oriented Architecture (SOA) Optical Character Recognition (OCR)