Port scanning is a phase in footprinting and scanning; this comes in reconnaissance which is considered as the first stage of a computer attack. Port scanning aims at finding open ports in a system. These open ports are exploited by attackers to carry out attacks and exploits. There are a number of tools to scan for open ports. However, very few tools are present to detect port scanning attempts.The goal of this project is to identify port scan attempts and find out information about the machine from where port scan attempts were made. If an attack takes place after the port scan, the collected information would help in bringing the criminal to justice. We hope that this work will add an additional layer of defense by identifying port scan attempts thereby indicating that an attack may follow.

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Today, with the rapid development of the Internet, textual information is growing rapidly. So document retrieval which aims to find and organize relevant information in text collections is needed. With the availability of large scale inexpensive storage the amount of information stored by organizations will increase. Searching for information and deriving useful facts will become more cumbersome. How to extract a lot of information quickly and effectively has become the focus of current research and hot topics.The state of the art for traditional IR techniques is to find relevant documents depending on matching words in users' query with individual words in text collections. The problem with Content-based retrieval systems is that documents relevant to a users' query are not retrieved, and many unrelated or irrelevant materials are retrieved. In this paper information retrieval method is proposed based on LSI approach. Latent Semantic Indexing (LSI) model is a concept based retrieval method that exploits the idea of vector space model and singular value decomposition. The goal of this research is to evaluate the applicability of LSI technique for textual document search and retrieval.

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