Shielding against Web Application Attacks - Detection Techniques and Classification

The field of IoT web applications is facing a range of security risks and system attacks due to the increasing complexity and size of home automation datasets. One of the primary concerns is the identification of Distributed Denial of Service (DDoS) attacks in home automation systems. Attackers can easily access various IoT web application assets by entering a home automation dataset or clicking a link, making them vulnerable to different types of web attacks. To address these challenges, the cloud has introduced the Edge of Things paradigm, which uses multiple concurrent deep models to enhance system stability and enable easy data revelation updates. Therefore, identifying malicious attacks is crucial for improving the reliability and security of IoT web applications. This paper uses a Machine Learning algorithm that can accurately identify web attacks using unique keywords. Smart home devices are classified into four classes based on their traffic predictability levels, and a neural system recognition model is proposed to classify these attacks with a high degree of accuracy, outperforming other classification models. The application of deep learning in identifying and classifying attacks has significant theoretical and scientific value for web security investigations. It also provides innovative ideas for intelligent security detection by classifying web visitors, making it possible to identify and prevent potential security threats

IoT Based Smart Security and Home Automation System

Internet of Things (IoT) conceptualizes the idea of remotely connecting and monitoring real world objects (things) through the Internet [1]. When it comes to our house, this concept can be aptly incorporated to make it smarter, safer and automated. Thi s IoT project focuses on building a smart wireless home security system which sends alerts to the owner by using Internet in case of any trespass and raises an alarm optionally. Internet of Things (IoT) conceptualizes the idea of remotely connecting and monitoring real world objects (things) through the Internet [1]. When it comes to our house, this concept can be aptly incorporated to make it smarter, safe r and automated. This IoT project focuses on building a smart wireless home security system which sends alerts to the owner by usin g Internet in case of any trespass and raises an alarm optionally. The main concern of the world today is the security. Sensor based smart home securit y system and the home automation system is methodical and high technology systems which connect most of the wireless systems and ensure the real time operations and also indicates the threat to the house. The main idea for the use of home security system is for the comfortab le living and it has also changed since the past decade as wireless technologies digital, vision are implemented. In the present world Internet plays a major role in every field, so the idea of integrating sensors technology along with an IoT environment could be helpful to resolve the security issues and the major problems of society to a very great extent. The drawbacks of existing technologies would be mainly cost and range. In this paper a perfect implementation and the complete design of sensor based smart security system with an IoT environment is been presented, which for sure resolves various security issues like fire detection in the places, unauthorized intruder entry and many. Therefore by the use of it continuous monitoring of the home or apartment or any locations can be possible. The system is much cost effective, has low power consumption and much reliable compared to the existing one

Home Automation and RFID-Based Internet of Things Security: Challenges and Issues

Internet of Things (IoT) protection refers to the software field related to securing the Internet of Things and associated linked devices and systems. The IoT is a system of interconnected computers, sensors, actuators, or people on the World Wide Web (WWW). All these different devices have a unique identity in the IoT and must convey data across the network automatically. If computers are not adequately secured, allowing them to connect to the Internet exposes them to a range of serious vulnerabilities. Because the consequences of IoT failures are severe, it is necessary to observe and analyze security issues related to IoT. The prime goal of IoT security is to protect personal safety, while also guaranteeing and ensuring accessibility. In the context of IoT technology, the present study conducts a systematic literature review that analyzes the security problems associated with commercial and educational applications of home automation and details the technical possibilities of IoT with respect to the network layer. In this systematic review, we discuss how current contexts result in the inability of designers of IoT devices to enhance their cyber-security initiatives. Typically, application developers are responsible for training themselves to understand recent security advancements. As a result, active participation on the ridge scale with passive improvement can be achieved. A comparative analysis of the literature was conducted. The main objective of this research is to provide an overview of current IoT security research in home automation, particularly those using authentication methods in different devices, and related technologies in radio frequency identification (RFID) on network layers. IoT security issues are addressed, and various security problems in each layer are analyzed. We describe cross-layer heterogeneous integration as a domain of IoT and demonstrate how it can provide some promising solutions.Qatar University High Impact Grant (QUHI-CBE-21/22-1)