Computer science essays

Background and Literature Survey In this chapter, a background is given for understanding SQL Injection, how it works and its results. Furthermore, a literature review is presented, the literature review covers various techniques for detection of SQL Injection. 2.1. SQL Injection SQL Injection is a technique that exploits security vulnerability occurring in the database layer … Read more

Introduction Digital forensics investigations play a vital role in uncovering digital crimes –this includes both crimes targeting computer systems and those that use computer systems to facilitate an offence. Due to its importance in the cyberspace, significant advancements have been made to enhance its techniques, processes and standards. Today, digital forensics investigations can be applied … Read more

ABSTRACT: Machine learning (ML) is the ability of a system to learn new information rather than having that information preprogrammed into it. It refers to a system’s ability to acquire and integrate knowledge through extensive observation. It takes data as input, analyzes data, and then finds a pattern. After that make a prediction and store … Read more

1. INTRODUCTION Apache Groovy is built to work closely and seamlessly with the Java platform, it even shares a majority of syntax with Java to provide an easier learning curve. One of its more notable features includes its ability to do both dynamic and static type binding. In addition, it can be used to write … Read more

1. Abstract: In the previous couple of years, a few encryption methods dependent on different algorithms have been proposed intended to secure digital pictures against cryptographic attacks. Chaos-based image encryption algorithms are generally used more often than others but require high computational cost. Moreover, this system is defined on real numbers where as the cryptosystems … Read more

Keywords: Semantic Search Engine, SPARQL, Search Engine, DBpedia, Ontology, LUIS. Introduction The idea of a search engine and information retrieval from the search engine is not a new concept. The interesting thing about the traditional search engine is that different search engine will provide a different result for the same query. While the information was … Read more

Driving can be a stressful event even for the best of drivers. This in itself is felt can be made worse in busy areas like cities and large towns. In Belfast for example, the sheer number of motorists that pass through the city on a daily basis can lead to many issues arising from the … Read more

Abstract—Social media is a key aspect for social networking and content sharing. An example is that people often share their thoughts about movies, social causes and many more using Twitter, Facebook, Orkut, etc. But then, the data that is created from these sites remains unexplored to an great extent. In this paper, we exhibit how … Read more

In hacking, a shellcode is a small piece of code used as the payload in the exploitation of a software vulnerability. It is called “shellcode” because it typically starts a shell from which the attacker can control the compromised machine, but any piece of code that performs a similar task can be called shellcode. Because … Read more

Pathfinding Algorithm tends to the issue of finding the most brief way from source to goal and keeping away from impediments. Probably the best challenge in the plan of reasonable Artificial Intelligence (AI) in PC games is operator development. Pathfinding procedures are typically utilized as the center of any AI development framework. In this work, … Read more

Abstract The analysis of data on computer systems with low memory has been a challenge over years. Performing even one of the simplest machine learning tasks on these systems is a tough job. And this has largely affected the data scientists while performing tasks on computer systems with limited or restricted computational resources. In order … Read more

Natural evolution strategies as a proxy to variational bayesian inference for deep policy networks, with applications to session-based recommendation. ABSTRACT This work aims to develop innovative preference learning methodologies and related policies for recommendation, suitable for data with uncertainty. This will be achieved by a new approach to the Variational Bayesian Inference for GRU networks, … Read more