The project proposes an efficient implementation for IoT (Internet of Things) used for monitoring and controlling the home appliances via World Wide Web. Home automation system uses the portable devices as a user interface. They can communicate with home automation network through an Internet gateway, by means of low power communication protocols like Zigbee, Wi-Fi etc. This project aims at controlling home appliances via Smartphone using Wi-Fi as communication protocol and raspberry pi as server system. The user here will move directly with the system through a web-based interface over the web, whereas home appliances like lights, fan and door lock are remotely controlled through easy website. An extra feature that enhances the facet of protection from fireplace accidents is its capability of sleuthing the smoke in order that within the event of any fireplace, associates an alerting message and an image is sent to Smartphone. The server will be interfaced with relay hardware circuits that control the appliances running at home. The communication with server allows the user to select the appropriate device. The communication with server permits the user to pick out the acceptable device. The server communicates with the corresponding relays. If the web affiliation is down or the server isn't up, the embedded system board still will manage and operate the appliances domestically. By this we provide a climbable and price effective Home Automation system.

IoT based monitoring and control system for home automation

Th is paper presents a low cost and flexib le home control and monitoring system using an embedded micro-web server, with IP connectivity for accessing and controlling devices and appliances remotely using Android based Smart phone app. The proposed system does not require a dedicated server PC with respect to similar systems and offers a novel communicat ion protocol to monitor and control the home environment with more than just the switching functionality. To demonstrate the feasibility and effectiveness of this system, devices such as light switches, power p lug, temperature sensor and current sensor have been integrated with the proposed home control system.

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Internet of Things: Ubiquitous Home Control and Monitoring System using Android based Smart Phone

This paper presents a flexible standalone, low-cost smart home system, which is based on the Android app communicating with the micro-web server providing more than the switching functionalities. The Arduino Ethernet is used to eliminate the use of a personal computer (PC) keeping the cost of the overall system to a minimum while voice activation is incorporated for switching functionalities. Devices such as light switches, power plugs, temperature sensors, humidity sensors, current sensors, intrusion detection sensors, smoke/gas sensors and sirens have been integrated in the system to demonstrate the feasibility and effectiveness of the proposed smart home system. The smart home app is tested and it is able to successfully perform the smart home operations such as switching functionalities, automatic environmental control and intrusion detection, in the later case where an email is generated and the siren goes on.

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Ubiquitous Smart Home System Using Android Application

Home automation systems have attracted considerable attention with the advancement of communications technology. A smart home (SH) is an Internet of Things (IoT) application that utilizes the Internet to monitor and control appliances using a home automation system. Lack of IoT technology usage, unfriendly user interface, limited wireless transmission range, and high costs are the limitations of existing home automation systems. Therefore, this study presents a cost-effective and hybrid (local and remote) IoT-based home automation system with a user-friendly interface for smartphones and laptops. A prototype called IoT@HoMe is developed with an algorithm to enable the monitoring of home conditions and automate the control of home appliances over the Internet anytime and anywhere. This system utilizes a node microcontroller unit (NodeMCU) as a Wi-Fi-based gateway to connect different sensors and updates their data to Adafruit IO cloud server. The collected data from several sensors (radio-frequency identification, ultrasonic, temperature, humidity, gas, and motion sensors) can be accessed via If This Then That (IFTTT) on users' devices (smartphones and/or laptops) over the Internet regardless of their location. A set of relays is used to connect the NodeMCU to homes under controlled appliances. The designed system is structured in a portable manner as a control box that can be attached for monitoring and controlling a real house. The proposed IoT-based system for home automation can easily and efficiently control appliances over the Internet and support home safety with autonomous operation. IoT@HoMe is a low cost and reliable automation system that reduces energy consumption and can notably provide convenience, safety, and security for SH residents.

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Design and Fabrication of Smart Home With Internet of Things Enabled Automation System

In this paper, we make use of Home Automation techniques to design and implement a remotely controlled, energy-efficient and highly scalable Smart Home with basic features that safeguard the residents' comfort and security. Our system consists of a house network (sensors and appliance actuators to respectively get information from and control the house environment). As a central controller, we used an Arduino microcontroller that communicates with an Android application, our user interface. Our house network brings together both wireless Zigbee and wired X10 technologies, thus making it a cost-efficient hybrid system. Events can be programmed to be triggered under specific conditions, and this can have a great role in reducing the total energy consumed by some appliances. On the other hand, the system can suggest smart task scheduling. The scheduling algorithm we present is a heuristic for the Resource-constrained-scheduling problem (RCPSP) with hybrid objective function merging both resource-leveling and weighted completion time considerations.

Low Cost Arduino/Android-Based Energy-Efficient Home Automation System with Smart Task Scheduling

This paper presents a design and prototype implementation of new home automation system that uses WiFi technology as a network infrastructure connecting its parts. The proposed system consists of two main components; the first part is the server (web server), which presents system core that manages, controls, and monitors users' home. Users and system administrator can locally (LAN) or remotely (internet) manage and control system code. Second part is hardware interface module, which provides appropriate interface to sensors and actuator of home automation system. Unlike most of available home automation system in the market the proposed system is scalable that one server can manage many hardware interface modules as long as it exists on WiFi network coverage. System supports a wide range of home automation devices like power management components, and security components. The proposed system is better from the scalability and flexibility point of view than the commercially available home automation systems. Keywords—Home automation, Wireless LAN, WiFi, MicroControllers

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Design and Implementation of a WiFi Based Home Automation System

— This paper proposes the requirements and design ofRFID based system for SFC (Shop Floor Control) in order to achieve the factory real time controllability, Allowing to develop E-Manufacturing System. The detailed logical specifications of the core functions and the design diagrams of RFID based system are developed. Then RFID deployment in E-Manufacturing systems is investigated.. Keywords — RFID, E-Manufacturing System, Requirements specifications, Design Diagrams, real time controllability.I. I NTRODUCTION -Manufacturing control is a concept to combine the power of the new Web-based software technologies (SOA, Web Services, ….. etc) and the state-of-the-art. Radio Frequency Identification (RFID) technology to improve the controllability of a factory [ 1-8 ]. The controllability of a factory is highly dependent on the capability of the enterprise system to interact in real time with the data points. A data point is the place where a specific type of data needs to be read or a control data signal needs to be injected (such as identifying the position of material in the manufacturing pipe line, or changing the light indicator of a work center, etc.). Inserting programmable RFID tags at the data-points will enable the real-time controllability. On the other hand integrating the RFID network with ERP systems requires flexible design and development to secure future sustainability and ease of deployment like web–based software technology which offers a sustainable and resilient candidate to implement this integration. A main challenge is to integrate RFID into existing manufacturing systems and to develop RFID middleware, and associated hardware and networking that will link new RFID systems into back-end infrastructure [ 9-17 ]. This paper proposes the requirements and design of RFID based system for SFC (Shop Floor Control) in order to achieve the factory real time controllability, The detailed logical specifications of the core functions and the design diagrams of RFID based system are developed. Then RFID deployment in E-Manufacturing systems is investigated. ANUFACTURING

Requirements and Design of RFID based EManufacturing System

Abstract Impersonation attack, also known as MAC spoofing, is widespread in wireless local area networks. Under this attack, the senders cannot control the device that listens to their traffic. On the other hand, the physical layer of the wired local area network is more secure, where the traffic is transmitted through cables and network nodes to the intended receivers. Each network node builds its MAC address table, which states stations that are physically connected (directly or indirectly) to each port, so traffic encryption is an unnecessary process. This paper discusses the design and testing of a new attack called a data link impersonation attack. In this attack, the attacker is considered a hardware intruder that deceives data link layer apparatus like the switches of layer two or three, taking advantage of a vulnerability in the MAC address table of the network nodes. That leads the network switches to send all the network traffic to the intruder instead of the real network device (usually a network service provider under attack). Intruder accepts all incoming requests/traffic from the service requester. If the intruder does not reply to the received requests sent by service requesters, it acts as a black hole intruder, simply causing a denial-of-service attack. If an intruder responds to these requests with fake replies to steal information from service requesters, it acts as a white hole intruder. During the attack, the intruder is transparent for the whole network and does not affect overall network performance and generally the network services, so it is so hard to be discovered by the network software running the network apparatus. Different scenarios were tested using different network simulators and physical networks (CISCO L2/L3 switches). It is demonstrated that the attacker is successfully denied the service/application under attack. The proposed attack reveals the new vulnerability of the wired local area network and opens the door for network scientists to enhance network software that runs the network apparatus immune against the proposed attack. 

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Design and analysis of data link impersonation attack for wired LAN application layer services

Real-time disease prediction has emerged as the main focus of study in the field of computerized medicine. Intelligent disease identification framework can assist medical practitioners in diagnosing disease in a way that is reliable, consistent, and timely, successfully lowering mortality rates, particularly during endemics and pandemics. To prevent this pandemic's rapid and widespread, it is vital to quickly identify, confine, and treat affected individuals. The need for auxiliary computer-aided diagnostic (CAD) systems has grown. Numerous recent studies have indicated that radiological pictures contained critical information regarding the COVID-19 virus. Utilizing advanced convolutional neural network (CNN) architectures in conjunction with radiological imaging makes it possible to provide rapid, accurate, and extremely useful susceptible classifications. This research work proposes a methodology for real-time detection of COVID-19 infections caused by the Corona Virus. The purpose of this study is to offer a two-way COVID-19 (2WCD) diagnosis prediction deep learning system that is built on Transfer Learning Methodologies (TLM) and features customized fine-tuning on top of fully connected layered pre-trained CNN architectures. 2WCD has applied modifications to pre-trained models for better performance. It is designed and implemented to improve the generalization ability of the classifier for binary and multi-class models. Along with the ability to differentiate COVID19 and No-Patient in the binary class model and COVID-19, No-Patient, and Pneumonia in the multi-class model, our framework is augmented with a critical add-on for visually demonstrating infection in any tested radiological image by highlighting the affected region in the patient's lung in a recognizable color pattern. The proposed system is shown to be extremely robust and reliable for real-time COVID-19 diagnostic prediction. It can also be used to forecast other lung-related disorders. As the system can assist medical practitioners in diagnosing the greatest number of patients in the shortest amount of time, radiologists can also be used or published online to assist any less-experienced individual in obtaining an accurate immediate screening for their radiological images.

Real-Time Multi-Class Infection Classification for Respiratory Diseases

—Ad hoc networks have been through extensive research in the last decade. Even with their desirable characteristics, major issues related to their security need to be considered. Various security solutions have been proposed to reduce the risks of malicious actions. They mainly focus on key management, authentication, secure localization, and aggregation techniques. These techniques have been proposed to secure wireless communications but they can only deal with external threats. Therefore, they are considered the first line of defense. Intrusion detection systems are always required to safeguard ad hoc networks as such threats cannot be completely avoided. In this paper, we present a comprehensive survey on intrusion detection systems in ad hoc networks. The intrusion detection systems and components and taxonomy as well as different implementations and types of IDSs are studied and categorized. In addition, we provide a comparison between different Intrusion Detection Systems’ architectures. We also propose a Multi Stage Dynamic Architecture intrusion detection system (MSDAR), designed with a multi-stage detection approach making use of both signature-based and anomaly detection benefits. Our proposed intrusion detection system MSDAR is featured by its dynamic architecture as it can be deployed in the network using the Distributed Hierarchical Architecture. The viability and performance of the proposed system MSDAR are tested against the Distributed Denial of Service Attacks through simulations. Advanced performance parameters were used to evaluate the proposed scheme MSDAR. Experimental results have shown that the performance of MSDAR improves by using multiple stages of different detection mechanisms. In addition, based on simulations, the Detection Rate increases when the sensitivity level increases.

Ahmed ElShafee

Papers

Design and Implementation of a WiFi Based Home Automation System

Requirements and Design of RFID based EManufacturing System

Design and analysis of data link impersonation attack for wired LAN application layer services

Real-Time Multi-Class Infection Classification for Respiratory Diseases

MSDAR: Multi-Stage Dynamic Architecture Intrusion Detection System