首页    期刊浏览 2024年12月01日 星期日
登录注册

文章基本信息

  • 标题:Data Allocation Strategies for Detecting Data Leakage
  • 本地全文:下载
  • 作者:Srikanth Yadav ; Dr. Y. Eswara rao ; V. Shanmukha Rao
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2012
  • 卷号:3
  • 期号:1-1
  • 出版社:Seventh Sense Research Group
  • 摘要:An enterprise data leak is a scary proposition. Security practitioners have always had to deal with data leakage issues that encompass everything from confidential information about one customer to thousands of source code files for a company’s product being sent to a competitor. Whether deliberately or accidental, data loss occurs any time employees, consultants, or other insiders release sensitive data about customers, finances, intellectual property, or other confidential information(in violation of company policies and regulatory requirements). In that case we are proposing here one data distribution model that helps us to identify the guilty agent for data leakage. The proposed model contains some data distribution strategies that distribute the objects to supposedly trusted agents without overlap. Addition of “realistic but fake” objects also increases the chances of detecting the guilty agent.
  • 关键词:sensitive data; fake objects; data allocation strategies
国家哲学社会科学文献中心版权所有