INTRODUCTION
1.1 BACKGROUND OF THE STUDY
Computer security is information security as applied to computers and networks. The field covers all the processes and mechanisms by which computer-based equipment, information and services are protected from unintended or unauthorized access, change or destruction. Computer security also includes protection from unplanned events and natural disasters Morrie Gasser: Building a secure computer system 1988. In computer security, vulnerability is a weakness which allows an attacker to reduce a systemβs information assurance. Vulnerability is the intersection of three elements: a system susceptibility or flaw, attacker access to the flaw, and attacker capability to exploit the flaw. To exploit vulnerability, an attacker must have at least one applicable tool or technique that can connect to a system weakness. In this frame, vulnerability is also known as the attack surface. Vulnerability management is the cyclical practice of identifying, classifying, remediating, and mitigating vulnerabilitiesβ This practice generally refers to software vulnerabilities in computing systems. (Paul A. et al, 2008).
A security risk may be classified as vulnerability. The usage of vulnerability with the same meaning of risk can lead to confusion. The risk is tied to the potential of a significant loss. Then there are vulnerabilities without risk: for example when the affected asset has no value. A vulnerability with one or more known instances of working and fully implemented attacks is classified as an exploitable vulnerability β a vulnerability for which an exploit exists. The window of vulnerability is the time from when the security hole was introduced or manifested in deployed software, to when access was removed, a security fix was available and deployed, or the attacker was disabled. Security bug (security defect) is a narrower concept: there are vulnerabilities that are not related to software: hardware, site, personnel vulnerabilities are examples of vulnerabilities that are not software security bugs (Paul A. et al, 2008)
π Over 50,000 Research Thesis
π± 100% Offline: No internet needed
π Over 98 Departments
π Thesis-to-Journal Publication
π Undergraduate/Postgraduate Thesis
π₯ Instant Whatsapp/Email Delivery
The project titled "Applying Machine Learning Techniques to Detect Financial Fraud in Online Transactions" aims to address the critical issue of detec...
The project titled "Anomaly Detection in IoT Networks Using Machine Learning Algorithms" focuses on addressing the critical challenge of detecting ano...
The project titled "Applying Machine Learning Algorithms for Predicting Stock Market Trends" aims to explore the application of machine learning algor...
The project titled "Applying Machine Learning Algorithms for Sentiment Analysis in Social Media Data" focuses on utilizing machine learning algorithms...
The project titled "Applying Machine Learning for Predictive Maintenance in Industrial IoT Systems" focuses on leveraging machine learning techniques ...
The project, "Implementation of a Machine Learning Algorithm for Predicting Stock Prices," aims to leverage the power of machine learning techniques t...
The project titled "Development of an Intelligent Traffic Management System using Machine Learning Algorithms" aims to revolutionize the traditional t...
No response received....
The project titled "Applying Machine Learning for Intrusion Detection in IoT Networks" aims to address the increasing cybersecurity threats targeting ...