In this project, the performance of various machine learning algorithms is evaluated for accurately detecting phishing websites. Phishing websites are malicious sites that aim to steal sensitive information from users. By comparing different algorithms, the…
Read MoreThe project focuses on utilizing machine learning algorithms to detect and prevent cyber attacks. By analyzing patterns in large datasets, these algorithms can identify abnormal behaviors or potential threats in real-time. This proactive approach helps…
Read MoreAutomated Bug Detection in Software Applications is a crucial task in software development to ensure high-quality and robust software. This project focuses on developing a Machine Learning model that can automatically detect bugs in software…
Read More[ad_1] Table of Contents: Chapter 1: Introduction 1.1 Background of the Study 1.2 Research Problem 1.3 Research Questions 1.4 Objectives of the Study 1.5 Scope of Study 1.6 Limitations of Study Chapter 2: Literature Review…
Read More[ad_1] Table of Contents Chapter 1: Introduction 1.1 Background of the Study 1.2 Statement of the Problem 1.3 Objectives of the Study 1.4 Research Questions 1.5 Significance of the Study 1.6 Scope of the Study…
Read More[ad_1] Table of Contents Chapter 1: Introduction 1.1 Background of the Study 1.2 Statement of the Problem 1.3 Objectives of the Study 1.4 Research Questions 1.5 Significance of the Study 1.6 Scope of the Study…
Read More[ad_1] Table of Contents Chapter 1: Introduction 1.1 Background of the Study 1.2 Statement of the Problem 1.3 Objectives of the Study 1.4 Significance of the Study 1.5 Limitations of the Study 1.6 Scope of…
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