Anomaly detection is the process of finding outlying record from a given data set. This problem has been of increasing importance due to the increase in the size of the data and the need to efficiently extract those outlying records that can have important indications in real-life problems. Anomaly detection is applied in many different sectors. There are many approaches to solve the anomaly detection problem. However, those that are more widely applicable are unsupervised approaches as they do not require labeled data. The aim of this thesis is to study a well-known anomaly detection technique ...

With the current rising trend in wireless based systems, applications such as video on demand, remote monitoring and surveillance are now being used in greater abundance. Coupled with this growth comes the ongoing need for improved network performance. This is due to the resource hungry nature of video data which places stringent requirements on communication networks. This study investigates performance improvement for remote surveillance applications over hybrid 2-stage disordering networks. It specifically focuses on resequencing alternatives for video data. A resequencing and batch aggregation ...

This thesis examines the different type of agents, and how they help evolve the world around, most particularly the way business are undertaken and handled. The following work is based upon the DALIA environment, which stands for Distributed Autonomous and Linguistically Competent Agents. In this work I have extended and improved the DALIA agent negotiation aspect, where two agents are involved in an offer and counter-offer negotiations. The model presented by DALIA for the offers and counter offers ia investigated and the weak points in the negotiation paradigm are identified. A strategy is ...

Delay-Tolerant Networks (DTNs) are a type of emerging networks characterized by very long delay paths, frequent network partitions and high loss rates. The nodes are sparsely deployed and intermittently connected. The presenting network is used in a variety of environments including military, disaster situations and for long distance communications. Although it is used in critical sectors, the communication support lacks the high end technology usually found in important networks. The nodes participating in this network do not have stable end-to-end connections. They can communicate to each other ...

With the considerable rise of Internet users and the massive and diverse web searches, an excess of data has become available online. A recommendation model, also known as an engine, handles this massive amount of data available to find patterns that reflect user behaviors. Recommendation models have been implemented in several industries, and the most popular implementation is in the entertainment industry, specifically video streaming and on-demand platforms. There are several types of recommendation systems. In this paper, we have proposed a way to escape the loop created by the recommendation ...

Web services are form of middleware to exchange information between systems over a network. With the advent of the age of mobile devices and their diversity, the importance of web services became all the more apparent. Every web service grants certain functionality and can utilize other web services to gain more functionality and more robustness. Such a service that combines the functionality of other services is called a composite service and the process of designing such a service is called a composition. This thesis studies an on-the-fly algorithm that efficiently checks for the possibility ...

Maintenance is the most costly phase of the software life cycle. The maintenance cost of a program is estimated to be over 80% of its total life cycle costs (Erlikh, 2000). Since most of the maintenance time is devoted to understanding the program itself, program comprehension becomes essential. Often, a large fraction of the maintenance time is spent on reading code to understand what functionality of the program it implements. An insufficiently documented source code can be challenging for developers to understand and maintain. A clear and concise documentation can help developers ...

The internet has made room for lots of unwanted activity to propagate through computers. In response, many methods were established to detect a certain computer executable as malicious. However, there were still loopholes for hackers within traditional systems. Some methods use machine learning others use deep learning. There are some drawbacks to each method, such as reverse analysis and restricted simulation on different execution paths, as well as long execution time. Some methods cannot generalize well and cannot scale to large amounts of data. Moreover, anti-viruses, using signature-based ...

Wireless sensor networking is an increasingly important technology that is used in a variety of applications, such as environmental monitoring, infrastructure management, public safety, medical, home and office security, transportation and military systems. However, until now, wireless sensor networks (WSNs) and their applications have been developed without considering an integrated management solution. This thesis analyzes in detail emerging wireless sensor management schemes and proposes a hybrid network model that establishes a combination between event-driven and continuous WSNs. The main ...

The term spatial data signifies all geometric objects of different dimensions and the relations that could bind these objects together. Spatial data is, in general, divided into two parts: crisp spatial data and vague spatial data. Crisp spatial data has determinate coordinates and boundaries, whereas vague spatial data has indeterminate ones. The demand for spatial data support in database management systems is growing every day, yet not all commercial products provide spatial data support natively, and those that do merely provide it partially. Since database management systems are at the heart ...