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Classical cryptographic system security relies on the complexity of mathematical problems and limited computational power available at the attacker's end. But with the advent of quantum computers that are assumed to have unlimited computational capability, classical cryptography is now proved to be no more unconditionally secure. It has been proved that the security of a cryptographic system depends on the key used for encryption, not the algorithm. Quantum Key Distribution (QKD) is a key sharing mechanism between two parties whose security relies on the very laws of nature (quantum mechanics), not on the computational capability of the eavesdropper. In QKD, if an eavesdropper tries to gain key information, then he will be detected immediately, and the key sharing procedure is aborted. In this paper, some of the most prominent QKD protocols proposed till now are studied and then a comparative analysis of those protocols depending on various factors is performed. [ABSTRACT FROM AUTHOR]

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]

When the image is captured from the source using some scanner or the camera, it can have number of deficiencies because of the camera, environment or lack of expertise problems. These problems results distorted capturing of images. But to perform any image processing operation, it is required to resolve these impurities over the image. In this paper, the importance of image restoration is defined against various problems of images. The paper has discussed some of effective image reconstruction methodologies. [ABSTRACT FROM AUTHOR]

Security of data is always needed whenever communication is done and to achieve that purpose different techniques are used so that data should not be attacked by the third party. Different data concealing techniques like cryptography, watermarking etc. are used. But if we want the intruder not to even know about the presence of secret data we have to use the Steganography Technique. And this technique can be applied by using different files like text, audio, video etc. One of the steganography types as video steganography used to hide the secret data in an easy manner due to the complexity of its structure. We have different types of methods based upon Format, Cover, and Frequency in video steganography. This paper provides a review and analysis of the video steganography technique applied to AVI video file with LSB technique and the comparison of frames in the video file is analyzed with the help of different parameters to find how similar the cover video frame after embedding the secret data. The analysis is based on the PSNR, MSE, and the result is given. [ABSTRACT FROM AUTHOR]

Data mining is the mathematical techniques of reading patterns in large sets of data involving methods belonging to the various fields like artificial intelligence, machine learning, and statistics. It is a subfield of computer science. This field is in high demand in the 21st century because it is implementable in all fields of science, social media and business. We are using the concepts of machine learning to train our system against a set of English phrases and words which may have weight .This weight is how we decide whether the phrases have a positive, negative or neutral net sentiment ratio. We then read data from sources and perform statistical analysis on this data to take some useful decisions. These choices can display to be of vital importance in numerous fields from industrial employer, Medical, Engineering and Media. Data mining is the exploration and evaluation of massive statistics gadgets, so that it will discover significant sample and policies. The basic concept is to catch out powerful way to mix the PC's (personal computer) capacity to technique the information along the human eyes potential to encounter styles. The layout and art work effectively with big data unit that is purpose of record data mining. Information discovery from database is the wider process of data mining. Data Mining is the approach of reading facts from specific perspectives and encapsulates the results as helpful facts. It has been defined as "the nontrivial technique of figuring out legitimate, novel, probably beneficial, and ultimately comprehensible patterns in document. [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]