SKM 2010
Secure Knowledge Management

October 21-22, 2010
Rutgers University, New Brunswick, NJ

• Google map
• Parking: park in Lot 64. Parking permit will be available at registration table.

Knowledge management is a very important research area that deals with methodologies for systematically gathering, organizing, and disseminating information. It essentially consists of processes and tools to effectively acquire and share data as well as use the knowledge of individuals within an organization. The workshop on Secure Knowledge Management will bring together researchers and practitioners from academic, industry and government to raise the awareness and share recent advances in knowledge management. The workshop will provide a venue to discuss and develop the next questions of challenges in knowledge management that need to be tackled by the community.

Knowledge Management Systems (KMS) promote sharing information among employees and should contain security features to prevent any unauthorized access. Security is becoming a major issue revolving around KMS. Security methods may include authentication or passwords, cryptography programs, intrusion detection systems or access control systems. Issues include insider threat (protecting from malicious insiders), infrastructure protection (securing against subversion attacks) and establishing correct policies and refinement and enforcement. Furthermore KMS content is much more sensitive than raw data stored in databases and issues of privacy also become important.

Since the attacks in 2001, many organizations, especially the US government, have increased their concern about KMS. With the advent of intranets and web-access, it is even more crucial to protect corporate knowledge as numerous individuals now have access to the assets of a corporation. Therefore, we need effective mechanisms for securing data, information, and knowledge as well as the applications.

Topics of interest include, but are not limited to:

• Secure Languages (Secure Knowledge Query Manipulation Language, Security Assertion Markup Language, B2B Circles of Trust)
• Return of Investment on Secure Knowledge Systems
• Digital Rights Management (Digital Policy Management)
• Secure Content Management (Secure Content Management in Authorized Domains, Secure Content Delivery, Content Trust Index)
• Knowledge Management for National Security (Securing and Sharing What We Know: Privacy, Trust and Knowledge Management, Identity Security Guarantee, Building Trust and Security in the B2B Marketplace)
• Security and Privacy in Knowledge Management
• Wireless security in the context of Knowledge Management
• Data Mining for Fraud Detection (Financial Fraud Detection, Network Intrusion Detection)
• Data Mining for Secure Knowledge Management
• Risk Assessment

Papers will be compiled on a CD-ROM. Selected papers will be recommended for submission to special issues.

The workshop will have a best paper award as judged by the program committee. In addition, the workshop will have a special session to discuss issues related to data mining for secure knwoledge management.

The submission should be formatted in two-columns in IEEE format not exceeding 6 pages. Submissions should adhere to the standard 8.5" X 11" IEEE camera-ready format. Formatting instructions and LaTeX macros are available on the IEEE Computer Society sites:

The submissions should be sent electronically using

Manuscripts due: June 30, 2010 Extended to: August 31, 2010

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• Kevin Kwiat, Air Force Research Laboratory
• Nasir Memon, Polytechnic University
• H. Raghav Rao, State University of New York at Buffalo
• Bhavani Thuraisingham, University of Texas at Dallas
• Shambhu J Upadhyaya : State University of New York at Buffalo

General Chair:	Hoang Pham, Rutgers University
Program Co-Chairs:	Hui Xiong, Rutgers University W. Art Chaovalitwongse
Proceeding Chair:	Manish Parashar, Rutgers University
Publicity Chair:	Vijay Atluri, Rutgers University
Web Chair:	Thu D. Nguyen, Rutgers University
Local Arrangement Chair:	Myon-K. Jeong, Rutgers University
Program Committee:
	Vijay Atluri Rutgers University Bhume Bhumiratana King Mongkut University of Technology Thonburi Jim Cao Alcatel-Lucent Bell Laboratories W. Art Chaovalitwongse Rutgers University Tyrone Grandison IBM Almaden Research Lab Marco Gruteser Rutgers University Manish Gupta M&T Bank Tejaswini Herath Brock University Tin Kam Ho Alcatel-Lucent Bell Laboratories Murtuza Jadliwala EPFL, Lausanne Myon-K. Jeong Rutgers University Mohan Kankanhalli National University of Singapore Bradley Malin Vanderbilt University Sumita Mishra Rochester Institute of Technology Thu D. Nguyen Rutgers University Manish Parashar Rutgers University Hoang Pham Rutgers University Ramendra Sahoo CitiGroup Farookh Salam University of North Carolina at Greensboro Vidyaraman Sankaranarayanan Microsoft Raghu Santanam Arizona State University Yucel Saygin Sabanci University Ben Shao Arizona State University Raj Sharman University at Buffalo Yan Sun University of Rhode Island Wade Trappe Rutgers University Alex Tuzhilin New York University Shambhu Upadhyaya University at Buffalo, The State University of New York Jaideep Vaidya Rutgers University Jingguo Wang University of Texas at Arlington Junjie Wu Beihang University Hui Xiong Rutgers University Nan Zhang George Washington University Yanyong Zhang Rutgers University George Zhou RiskMetrics Group