Detecting Spammers on Social Networks

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE) , 2016

The popularity and addictiveness of Facebook is due to existence of the third-party apps as there are installations of nearly 20 million per day.Due to which, malware and spam are easy to spread since there is a potential use of these apps which has been identified by hackers. The problem is already weighty as we find that at least 13% of applications in our dataset are malevolent.There has been focus by the research community to detect malicious posts as well as campaigns.Our major contribution lies in developing FRAppE-Facebook's Rigorous Application Evaluator which is arguably the first tool focused on detecting malicious apps on Facebook. To develop FRAppE, we make use of information gathered by closely observing the posting behaviour of 111K Facebook apps seen across 2.2 million users on Facebook. First, we identify a set of features that helps us to differentiate between malign apps and kind apps. For example, we find that malicious apps often share names with other apps, and they commonly request fewer permissions than kind apps Second, leveraging these distinguishing features, we show that FRAppE can detect malicious apps with 99.5% accuracy, with no false positives and a high true positive rate (95.9%).Finally, we examine the ecosystem of malicious Facebook apps and recognize methods that these apps use to multiply. Interestingly ,we find that many apps conspire and support each other; in our dataset, we find 1584 apps enabling the viral multiplication of 3723 other apps through their posts. In long term measures, we identify FRAppE as a step towards creating an independent watchdog for app ranking & assessment, so as to make Facebook users aware before installing apps. I.

With 20 million installs a day, third-party apps area major reason for the popularity and addictiveness of Facebook.Unfortunately, hackers have realized the potential of using apps forspreading malware and spam. The problem is already significant,as we find that at least 13% of apps in our dataset are malicious.So far, the research community has focused on detecting maliciousposts and campaigns. In this paper, we ask the question: Given aFacebook application, can we determine if it is malicious? Our keycontribution is in developing FRAppE-Facebook's Rigorous ApplicationEvaluator-arguably the first tool focused on detectingmalicious apps on

2017

Now-a-days, the Facebook is one of the common and essential platforms for social media communications. Facebook applications used by the more people and by using this popularity of the Facebook applications, third-parties are launching fake or malicious Facebook applications on the social media. The third-party applications are attracted much more at present. Traditionally, we have several methods and evaluators to detect the malicious applications; we cannot detect the malicious applications. Hence, to detect the malicious and third-party applications on Facebook in this paper we developed a Facebook’s Rigorous Application Evaluator (FRAppE). This developed FRAppE first, collect the complete features of the all Facebook applications and second, through the collected features it can detect which application is malicious and which application is original.

Now a day's use of social networking site like facebook, Twitter, Google+ for Communication and maintaining relationship among various users is increased due to its popularity on network. Each user that uses the social networking sites are making profiles and uploading their private information. These social networks users are not aware of numerous security risk included in this networks like privacy, identity theft and sexual l harassment and so on. The third party apps on social sites have main role to make the site more attractive and incredible. The hackers are using these third party apps to get the private information and get unauthorized Access to their accounts. As we aware that not most but least of the applications on sites are malicious. As research goes on the research community has focused on detecting malicious wall-posts and campaigns. In this paper, we are going to find that applications are malicious or not? In earlier system, it is important to note that MyPage...

Online Social Networks applications are one of the reasons for Online Social Networks attractiveness. Unluckily, many user are not alert of the fact that many malicious Online Social Networks applications survive. With 20 million installs a day, third party applications are a major reason for the attractiveness and addictiveness of Online Social Networks. But, cyber criminals have realized the probable of using applications for spreading malware and spam like unsolicited mail. The problem is already important, as we find that at least 13% of applications in the model datasets are malicious. Since, the research community has paying attention on discovering malicious posts and campaign. Online social networks services like Online Social Networks eyewitness an exponential boost in consumer action while an incident takes place in the actual world. This activity is a mixture of high-quality content similar to information, private views, opinions, comments, as well as poor quality content...

With the advent of online social media, phishers have started using social networks like Twitter, Facebook, and Foursquare to spread phishing scams. Facebook is an immensely popular Social Media network where people use regularly with some third party applications in it. It has over 100 million active users who post about 200 million posts every day. Phishers have started using Facebook as a medium to spread phishing because of this vast information dissemination. Further, it is difficult to detect phishing on Facebook unlike emails because of the quick spread of phishing links in network, short size of the content, and use of URL obfuscation to shorten the URL. The technique is to detect phishing on Facebook in real time. In existing system this can be determine through FRAppE- Facebook’s Rigorous Application Evaluator. FRAppE is the first tool focused on detecting malicious apps on Facebook. To develop FRAppE, we use information gathered by observing the behavior of Facebook apps seen across millions of users on Facebook. In addition to address these problems, proposed system use Facebook specific features along with URL features to detect whether a posts posted with a URL is phishing or not. Some of the Facebook specific features we use are post content and its characteristics like length, hashtags. The proposed system also uses machine learning classification techniques to classify the apps and detects phishing scams.

IOSR Journals , 2019

The utilization of online social networking sites has turned into a necessary portion of our lives. It causes us to speak with our dear and separated ones. We can likewise utilize these sites for different media sharing purposes, for example, music, recordings, and so on. Additionally, nowadays these sites are increasing substantially more notoriety because of the outsider applications that exist on these stages. Be that as it may, interlopers have understood the capability of these applications and utilize it as a medium to spam users. In a great deal of cases, as indicated by a review done these applications are malicious. A spammer can profit by these applications in different ways like, can achieve countless, can acquire user's personal information, and furthermore with the assistance of a solitary user, he can spam much different users as well. As the examination goes on, look into networks have concentrated on distinguishing malicious URLs and online social battles which are fake or spam. Here we build up an application, SecureU application, we help distinguish malicious application, fake or spam messages, shroud pictures and posts which are unseemly and it will likewise assist us with giving constant warnings.

2016

With the increasing use of social networking site, there are increments in the malicious, fake, and viruses. Daily approximately 20 million users will register in one day on different social networking site. Unfortunately, hackers have realized the potential of using apps for spreading malware and spam. And now days this problem is more critical, as our survey find that at least 13% of apps in our dataset are malicious. And due to this the research community has focused on detecting malicious posts and campaigns. In this paper, we took the survey of some social networking sites and application and malicious activity relates to it. Also we mention the different techniques to control malicious activities for different social networking sites like Twitter, Facebook. Keywords— Facebook Apps, Malicious Apps, Profiling Apps, Online Social Networks, Social Network Security, Spam profiles

IEEE Network, 2010

The World Wide Web has evolved from a collection of static HTML pages to an assortment of Web 2.0 applications. Online social networking in particular is becoming more popular by the day since the establishment of SixDegrees in 1997. Millions of people use social networking web sites daily, such as Facebook, My-Space, Orkut, and LinkedIn. A side-effect of this growth is that possible exploits can turn OSNs into platforms for malicious and illegal activities, like DDoS attacks, privacy violations, disk compromise, and malware propagation. In this article we show that social networking web sites have the ideal properties to become attack platforms. We introduce a new term, antisocial networks, that refers to distributed systems based on social networking web sites which can be exploited to carry out network attacks. An adversary can take control of a visitor's session by remotely manipulating their browsers through legitimate web control functionality such as image-loading HTML tags, JavaScript instructions, and Java applets.