Web Phishing Detection Using Web Crawling, Cloud Infrastructure and Deep Learning Framework

Utilising the dispersed resources that are accessible inside a cluster, the dispersed Deep Learning System (DDLS) is able to successfully complete the process of training complex neural network models. This is accomplished by utilising the resources to their full potential. As a consequence of this, the system is able to get insights about neural network models that are becoming more complex. Individuals who work as engineers for distributed deep learning systems are needed to make a variety of decisions in order to properly manage their specialised job within the environment of their choice. This is necessary in order to ensure that the job is efficiently managed. Achieving this is very necessary in order to guarantee that they will be able to carry out their obligations. Throughout the course of the last several years, deep learning programmes have uncovered significant applications in a broad range of different industries. A few examples of these domains include image recognition, natural language processing, semantic understanding, financial analysis, and aided healthcare. These are only few of the topics that fall under this category. All of these factors have led to a significant growth in the amount of information that is being used in each and every application. The continued penetration of information into a number of different sectors, as well as the increasing complexity of computations and the restrictions of models, have all contributed to this. Because of this, there has been a significant increase in the quantity of information that is being employed on a worldwide scale for various purposes.

Section: Web Of Thing (Wot)mentioning

confidence: 67%

Modular Platforms based on Clouded Web Technology and Distributed Deep Learning Systems

Abdullah,

Abdulrahman,

Abdulkareem

et al. 2023

“…The data is all over and is produced very quickly. Social media and server logs generate enormous amounts of data every day [14].…”

Section: • Volumementioning

confidence: 99%

Orchestrating Distributed Computing and Web Technology with Semantic Web and Big Data

Amanoul,

Abdulrahman,

Abdullah

et al. 2023

Complex data systems are incapable of processing large data volumes, rendering the task of retrieving pertinent information unattainable. The advent of the Internet has amplified the significance of accessible and readily available information. Additionally, it receives support from the World Wide Web Consortium (W3C) and global organizations responsible for establishing web standards, such as Web Ontology, Inc. It expands the functionality of the website to facilitate the retrieval, integration, and transmission of information. In recent years, several major organizations have shown a strong inclination towards using semantic technologies for the purpose of collecting Big Data. Undoubtedly, there are other advantages of integrating this into the Creative. It enhances the ability of end-users to manage data from many repositories, focuses on changing the corporate environment and the user experience, and incorporates individual definitions and integrates several data sources. Furthermore, the market’s evolving expectations and contemporary organizational practices require an adaptable but all-encompassing information strategy. Integration of data warehousing may be achieved by the use of scattered corporate ontologies. This study explores the impact of the Semantic Web on enhancing the intelligence of Big Data. It analyses the obstacles and opportunities associated with the integration of Big Data with the Semantic Web.

“…The use of crawlers to attain this goal is a viable option. Additionally, crawlers are used for a different function in this scenario [19]. For your convenience, the following is a compilation of extra crawler settings that may be used.…”

Section: Uses Of Web Crawlingmentioning

confidence: 99%

Distributed Fundamentals based Conducting the Web Crawling Approaches and Types (Focused, Incremental, Distributed, Parallel, Hidden Web, Form Focused and Breadth First) Crawlers

Mehyadin,

Abdulrahman,

Ahmed

et al. 2022

Self Cite

Over the last several years, there has been a significant rise in the number of people getting online and using the internet. Individual hypertext links are available, and any one of them may be used to get access to the resource. There is a variety of hypertext links available. It has been feasible to construct new websites as a result of the growth of crawlers, which has been facilitated by the rise in the number of people who use the internet. Web crawlers are highly evolved search engines that make it simpler for customers to get the information they are searching for on the internet. Web crawlers are also known as web crawlers. In a similar vein, these web crawlers have the potential to be used for more research endeavours in the months and years to come. Furthermore, the information that has been gathered may be used to detect and uncover any connections that are absent, as well as to assess the possibility for expansion inside complicated networks. This can be done by discovering any connections that are missing. The analysis of web crawlers is the primary topic of this study. Topics covered include the architecture of web crawlers, the many types of web crawlers, and the challenges that search engines have while using web crawlers.