期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2016
卷号：7
期号：2
页码：97-99
语种：English
出版社：Ayushmaan Technologies
摘要：The online social network, with 20 million installs per day, thirdparty applications are a major reason for the popularity of and dependence on Facebook. Unfortunately, hackers have realized the potential of using applications to spread malware and spam. The problem is more significant, as we have to be at least 13% of the applications in our collection are malicious. So far, the research community has focused on detecting malicious messages and campaigns. In this paper, we ask the question: given the Facebook application, we can determine whether it is malicious? Our key contribution to the development of a malt Facebook Rigorous application of evaluator-probably the first tool aimed at detecting malicious applications on Facebook. For the development of Frappe, we use the information gathered by observing the behavior of posting 111k Facebook application saw across 2.2 million users on Facebook. First, identify a set of functions that help us to distinguish Malicious applications from benign. For example, we find that the Malicious applications often share names with other applications, and they usually look for fewer licenses than benign applications. Secondly, using these features, we show thatsmoothie can detect Malicious applications with 99.5% accuracy, with no false positives and low false negative rate (4.1%). Finally, we explore the ecosystem of malicious Facebook applications and identify the mechanisms that these applications use for propaganda. Interestingly, we find that many applications in connivance and support each other; in our collection, we find the 1584 application allows viral propagation 3,723 other applications through your messages. In the long term, we see a smoothie as a step towards the creation of an independent watchdog to assess the application and ranking, so to warn Facebook users before installing applications.
关键词：Facebook Apps;Malicious;Online Social Networks;Spam
