A Security Incident Sharing and Classification System for Building Trust in Cross Media Enterprises

نویسندگان

  • Fillia Makedon
  • Song Ye
  • Tilmann Steinberg
  • Yan Zhao
  • Jamies Ford
  • Zhan Xiao
  • Basil Sudborough
چکیده

Trust in cross-media applications is essential to successful collaboration. Cross media service delivery encompasses different types of security incidents and assumes a level of trust on the part of the participants of any one transaction. As enterprises and participants of cross media transactions become more susceptible to security risks facilitated by the heterogeneity of data being exchanged, it is important to develop protective infrastructures. Such infrastructures should enable reporting of security violations or misconduct on a regular basis with effortless incident submission, automatic classification of reported incidents, searching and collective knowledge extraction from similar incidents and sharing of information by authorized users. We report on such a system currently being developed. The Security Incident Sharing and Classification system (SISC), collects incidents in a database, though its incident submission interface, and classifies them according to different parameters. We demonstrate an automatic classification scheme based on the level of incident severity, where severe incidents are processed faster. The system builds trust through its monitoring and recommendation capabilities, thus preparing enterprises to encounter new security incidents that may arise. This is an open, customizable, self-standing risk monitoring system which can be built into any enterprise. The recommendation component of SISC extracts solution scenarios from the gathered knowledge of classified incidents and makes them available to SISC users. 2 CROSS-MEDIA SERVICE DELIVERY

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تاریخ انتشار 2003