SBIR Phase I: Development of Novel Steganography Detection Capabilities for Digital Images

SBIR 第一阶段：开发数字图像的新型隐写术检测功能

• 批准号: 0060476
• 负责人: Jessica Fridrich
• 金额: $ 10万
• 依托单位: Mission Research Corporation (MRC)
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-01-01 至 2001-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0060476&HistoricalAwards=false
• 关键词: SBIR; Phase; Development; Novel; Steganography

In this Small Business Innovation Research Phase I research project, Mission Research Corporation proposes to develop algorithms and implementation techniques for detecting steganography (i.e., hidden information) in digital imagery files. Although considerable research has been performed on developing novel steganographic methods, very little work has been performed on the important topic of detecting the presence of steganography in digital images. The fundamental goal of this SBIR research is to develop and refine techniques for detecting steganography and implement these techniques into user friendly software products. The proposed Phase 1 research will consist of identifying the most commonly used steganography techniques, determining image characteristics/statistical measures that can be calculated and used to identify the presence of steganography in various image formats (including lossless, lossy, and palette formats), developing an artificial neural network decision model, and implementation/testing of the results using a prototype Matlab algorithm. This research will provide valuable tools and methodologies that would enable system administrators to monitor files that may be leaving (or entering) a site on the Internet or from a secure facility, with the objective of determining the probability that such files contain hidden information.There are a wide variety of potential users of steganography detection techniques. Computer systems administrators at US government installations would likely be among the first to benefit from development of these steganography detection techniques. Due to the sensitivity of tremendous amounts of data handled by the US government, tools that would ensure security of electronic traffic through their many worldwide sites would be a valuable asset. In addition, are many other establishments including private businesses, law enforcement agencies, and health care facilities that are also very concerned with ensuring that unauthorized transfer of information does not occur to or from their facilities.

在这个小企业创新研究第一阶段研究项目中，使命研究公司提出开发用于检测隐写术的算法和实现技术（即，隐藏的信息）在数字图像文件中。虽然大量的研究已经进行了开发新的隐写方法，很少的工作已经进行了重要的主题检测隐写术在数字图像中的存在。SBIR研究的基本目标是开发和完善检测隐写术的技术，并将这些技术应用到用户友好的软件产品中。拟议的第一阶段研究将包括确定最常用的隐写技术，确定可以计算和用于识别各种图像格式（包括无损，有损和调色板格式）中隐写术存在的图像特征/统计措施，开发人工神经网络决策模型，并使用原型Matlab算法实现/测试结果。这项研究将提供有价值的工具和方法，使系统管理员能够监控可能离开（或进入）一个网站在互联网上或从一个安全的设施的文件，以确定这样的文件包含隐藏的信息的概率的目标。美国政府设施的计算机系统管理员可能是第一批从这些隐写检测技术的发展中受益的人。由于美国政府处理的大量数据的敏感性，确保通过其许多全球站点的电子流量安全的工具将是一笔宝贵的资产。此外，还有许多其他机构，包括私营企业、执法机构和医疗保健机构，它们也非常关注确保不会发生未经授权的信息传输。