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SmartSearch Steganalysis

机译:SmartSearcher隐写分析

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摘要

There are two primary challenges to monitoring the Web for steganographic media: finding suspect media and examining those found. The challenge that has received a great deal of attention is the second of these, the Steganalysis problem. The other challenge, and one that has received much less attention, is the search problem. How does the steganalyzer get the suspect media in the first place? This paper describes an innovative method and architecture to address this search problem. The typical approaches to searching the web for covert communications are often based on the concept of "crawling" the Web via a smart "spider." Such spiders find new pages by following ever-expanding chains of links from one page to many next pages. Rather than seek pages by chasing links from other pages, we find candidate pages by identifying requests to access pages. To do this we monitor traffic on Internet backbones, identify and log HTTP requests, and use this information to guide our process. Our approach has the advantages that we examine pages to which no links exist, we examine pages as soon as they are requested, and we concentrate resources only on active pages, rather than examining pages that are never viewed.
机译:监视Web中的隐秘媒体存在两个主要挑战:找到可疑媒体并检查找到的媒体。第二个挑战是隐写分析问题,这是备受关注的挑战。搜索的问题是另一个挑战,而这一挑战却很少受到关注。隐写分析器如何首先获取可疑媒体?本文介绍了解决此搜索问题的创新方法和体系结构。在网络上搜索秘密通信的典型方法通常基于通过智能“蜘蛛”“爬行”网络的概念。这样的蜘蛛通过跟踪从一页到下一页的链接链不断扩大来找到新的页面。我们不是通过跟踪其他页面的链接来寻找页面,而是通过标识访问页面的请求来找到候选页面。为此,我们监视Internet骨干网上的流量,识别并记录HTTP请求,并使用此信息指导我们的过程。我们的方法的优势在于,我们检查不存在链接的页面,在请求页面时立即对其进行检查,并且仅将资源集中在活动页面上,而不是检查从未查看过的页面。

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