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Internet we are using today is expanding faster than we could have imagined. Since the dawn of the Internet, there has been an exponential increase in the number of web sites and so the quantity of data on these websites. The hackers attack the web sites to collect useful information and also to make other legitimate users devoid of the information or services they required. Such problems and other similar types of attacks can be handled by "Honeypot" system which takes all attacks on itself and studies the attack patterns to detect similar kind of attacks in future. Honeypots allow all the attacks on itself and make attackers think that they have the access of real system and meanwhile honeypots will study all the attack pattern of attackers. The authors have created a network of various Honeypots to enhance the efficiency. Before honeypots, a filtering algorithm is used which with the help of pre-defined sink server will predict whether a given packet is malicious or not, here help of ISP service provider can also be taken if sink server doesn't have any information about the sender of given data packets. Then to further enhance the capability of honeynet cloud, a various different type of services can be deployed at honeynet clouds like HTTP, CBR and FTP. Here, the authors have used NS2 simulator to run the proposed work and the results are taken in the form of graphs like throughput of all three different types of honeypots, bandwidth and packet loss of all services provided by destination servers. Detection rate of malicious packets are calculated and comparison has be done between different services provided by honeynet cloud. [ABSTRACT FROM AUTHOR]

To find valuable knowledge from web data is known as web mining. The growth of World Wide Web exceeded all expectations with the development of internet technology. Rapid growth of World Wide Web has affected a lot of both visitors and web site owners. Retrieving different information in different format has become a very difficult task. To solve this problem, one positive approach is web usage mining (WUM). Web mining that extracts patterns from user weblogs is known as web usage mining, that is an implementation part of data mining. The goal of web usage mining is to understand the behaviour of web site users by processing the data mining of web access data. The success of web usage mining depends upon efficient knowledge extracted from large amount of raw log data. Knowledge obtained from web usage mining does the task of finding the hidden important information about user behaviour, and facilitate more effective browsing, to enhance web design, its page surfing pattern and other valuable information which is used for various purposes. In this paper, we provide detailed review of work done for different phases of web usage mining. [ABSTRACT FROM AUTHOR]

This research paper discussing the various useful tools and techniques that are used in a development of a website. We also discuss about the procedure follow in a website, mostly focused on a local host named Xampp tool .Next, we compare different development frameworks web application. In addition, we discuss life cycle model and framework development of web application. In this report, various review papers result also included for understanding of problems can be facing by the users. This Paper tells about the technologies used in this development, PHP and explained in result its functionality with Xampp with screenshots. It is hoped it will gives a useful framework for guiding the process. [ABSTRACT FROM AUTHOR]