346 research outputs found

    Comparing P2PTV Traffic Classifiers

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    Peer-to-Peer IP Television (P2PTV) applications represent one of the fastest growing application classes on the Internet, both in terms of their popularity and in terms of the amount of traffic they generate. While network operators require monitoring tools that can effectively analyze the traffic produced by these systems, few techniques have been tested on these mostly closed-source, proprietary applications. In this paper we examine the properties of three traffic classifiers applied to the problem of identifying P2PTV traffic. We report on extensive experiments conducted on traffic traces with reliable ground truth information, highlighting the benefits and shortcomings of each approach. The results show that not only their performance in terms of accuracy can vary significantly, but also that their usability features suggest different effective aspects that can be integrate

    Wanadoo case

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    The ADSL Router Forensics Process

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    In 2010 the number of threats targeting ADSL routers is continually increasing. New and emergent threats have been developed to bypass authentication processes and obtain admin privileges directly to the device. As a result many malicious attempts are being made to alter the configuration data and make the device subsequently vulnerable. This paper discusses the non-invasive digital forensics approach into extracting evidence from ADSL routers. Specifically it validates an identified digital forensic process of acquisition. The paper then discusses how the approach may be utilised to extract configuration data ever after a device has been compromised to the point where a lock-out state has been initiated

    The Economic Impact of the Regulation of Investigatory Powers Bill

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    Security awareness by online banking users in Western Australian of phishing attacks

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    Phishing involves sending e-mails pretending to be from the legitimate financial institutions to recipients and asking for personal information such as username and password. It also redirects network traffic to malicious sites, deny network traffic to web services, and modify protection mechanisms in the targeted computer systems. Consequences of successful attacks can include identity and financial losses, and unauthorised information disclosure. The purpose of this study was to investigate the experiences of Western Australian bank users in using online banking. The study considered the relationship between the background of the Western Australian bank users and their experience in using online banking security. The research analysed phishing through case studies that highlighted some of the experiences of phishing attacks and how to deal with the problems. Emphasis was placed on knowledge of phishing and threats and how they were actually implemented, or may be used, in undermining the security of users’ online banking services. The preferences and perspectives of Western Australian bank users about the deployment of online banking security protection and about future online banking services, in order to safeguard themselves against phishing attacks, are presented. The aim was to assist such Australian bank users through exploring potential solutions and making recommendations arising from this study. Research respondents had positive attitudes towards using online banking. Overall, they were satisfied with the security protection offered by their banks. However, although they believed that they had adequate knowledge of phishing and other online banking threats, their awareness of phishing attacks was not sufficient to protect themselves. Essentially, the respondents who had experienced a phishing attack believed it was due to weak security offered by their banks, rather than understanding that they needed more knowledge about security protection of their personal computers. Further education is required if users are to become fully aware of the need for security within their personal online banking

    Energy

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    Sentiment Analysis of Customers

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