detection system IEEE PAPERS AND PROJECTS-2020
Intrusion Detection System (IDS) An Intrusion Detection System (IDS) is a system that monitors network traffic for suspicious activity and issues alerts when such activity is discovered. It is a software application that scans a network or a system for harmful activity or policy breaching
Hardware implementation of real-time pedestrian detection system
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Histogram of oriented gradients (HOG) descriptor and support vector machine (SVM) classifier have been considered as a very efficient and robust tools used in the development of pedestrian detection systems. However, the enormous calculations make it difficult to Abstract Mobile Ad-hoc Network (MANETs) is infrastructure less in nature as it is encompassed with a collection of mobile nodes. The self-configurable feature of it has proven to be beneficial in times of disaster relief and rescue operations as the mobile nodes
A vision-based social distancing and critical density detection system for COVID-19
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Social distancing has been proven as an effective measure against the spread of the infectious COronaVIrus Disease (COVID-19). However, individuals are not used to tracking the required 6-feet (2-meters) distance between themselves and their surroundings
Text Borrowings Detection System for Natural Language Structured Digital Documents.
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Interpretation of results is an important stage in text borrowings detection systems. Necessary to take into consideration the tree structure of the document and the general content of structural elements (sections) is the reason for that. In article method comparison Malicious attacks like denial-of-service massively affect the network activities of wireless sensor network. These attacks exploit network layer vulnerabilities and affect all the layers of the network. Anomaly based intrusion detection system (AIDS) are designed for monitoring Advances in digital electronics, wireless communications, and electro-mechanical systems technology have revolutionized the society and economy across the globe by enabling the development of low-cost, low-power, and multi-functional sensor nodes, from which the
Image processing and machine learning techniques used in computer-aided detection system for mammogram screening-A review
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This paper aims to review the previously developed Computer-aided detection (CAD) systems for mammogram screening because increasing death rate in women due to breast cancer is a global medical issue and it can be controlled only by early detection with regular With the acceleration of the Internet of things (IoT) construction, the security and energy consumption of IoT will become an import factor restricting the overall development of the IoT. In order to reduce the energy consumption of the IoT heterogeneous perceptual network Cloud computing offer various services over the Internet based on pay-per-use concept. Therefore, many organizations have already adopted this system to attract the users with its desirable features. However, due to its design, makes it vulnerable to malicious attacks. ThisIt is a detection system which utilizes radio waves to decide the range, angle or velocity of objects. The presence of aircrafts, ships, spacecraft and weather formations. The main intent of this project is to help our fishermen who are caught by the neighbouring countrys Navy In wireless sensor networks (WSNs), sensor nodes regularly monitor environment and transmit measured values for specific phenomena to a central point called base station (BS). Recently, many intrusion detection systems (IDSs) are proposed for WSNs as they areBackground Arterial sampling in PET studies for the purposes of kinetic modeling remains an invasive, time-intensive, and expensive procedure. Alternatives to derive the blood time- activity curve (BTAC) non-invasively are either reliant on large vessels in the field of view or
Development of Smoke Detection System with Omnidirectional Telepresence
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In this study, we developed a telepresence smoke detection system with which personnel in a control center can learn about the relative positions of firefighters and fire sources at a fire scene. Using an omnidirectional projecting system such personnel can communicate with
Design and analysis for fall detection system simplification
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This paper presents a methodology based on multimodal sensors to configure a simple, comfortable and fast fall detection and human activity recognition system that can be easily implemented and adopted. The methodology is based on the configuration of specific types
Analysis of Drowsiness Detection System
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Most of the road motor accident happen due to the driver drowsiness on highways. Safety is most important during travelling or driving. A single mistake of driver can lead to a majoraccident. TherearemanydevicesandsensorsareavailaOpen wireless sensor networks (WSNs) in Internet of things (IoT) has led to many zero-day security attacks. Since intrusion detection is a key security solution, this paper presents a lightweight machine learning-based intrusion detection technique with high performance for
A Petroleum Leakage Detection System
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This paper presents report of a design work on petroleum leakage detection system . It is a system that is designed to monitor seepage of petroleum products across pipeline installations. The design work which was simulated on a PROTEUS software, consists of a
DRIVERS DROWSINESS DETECTION SYSTEM
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In recent years, driver fatigue is one of the major causes of vehicle accidents in the world. A direct way of measuring driver fatigue is measuring the state of the driver ie drowsiness. So it is very important to detect the drowsiness of the driver to save life and property. This project
RFI detection system upgrade for the QTT site
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The proposed 110m fully movable radio telescope (Qi Tai radio Telescope, QTT) in Xinjiang province of china has a frequency range from 150 MHz to 115 GHz , which is extremely sensitive to picking up weak signals from the universe. Due to its large caliber, it is
Efficient Vehicle Detection System using OCR and REST API
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Number plate recognition has been one of the active and challenging research areas in the field of image processing and character recognition. It has numerous application which includes, law enforcement, fake vehicle registration, traffic control and electronic toll
Poisoning Attacks on Federated Learning-based IoT Intrusion Detection System
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Federated Learning (FL) is an appealing method for applying machine learning to large scale systems due to the privacy and efficiency advantages that its training mechanism provides. One important field for FL deployment is emerging IoT applications. In particular
Credit Card Fraud Detection System Using Data Mining
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This paper deals with the implementation of Hidden Markov Model to detect credit card related fraud by considering a cardholders spending habit. Card transaction is processed sequentially by the stochastic process of an HMM. This observes histogram data as every
Forest Fire Detection System using LoRa Technology
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Millions of hectares of forest worldwide are affected annually by fires, which can lead to the loss of human lives, materials, destruction of natural flora and fauna but also can lead to the losses of raw materials. The problem is even greater in forests that are not guarded and do
An Intrusion Detection System in Computer Networks using the Firefly Algorithm and the Fast Learning Network
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Due to extensive use of communication networks and the ease of communicating via wireless networks, these types of networks are increasingly considered. Usability in any environment without the need for monitoring and environmental engineering of these
ONLINE HARASSMENT DETECTION SYSTEM BASED ON BULLYING WORDS PRESENT IN SOCIAL COMMUNICATIONS
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The procedure of compromise or badgering of any client with the assistance of posting incorrectly or obscene messages utilizing the web based life in the web is known as Cyber bullying. These messages some time contain a book posted by a high schooler, or a
DETECTION SYSTEM FOR DETERMINISTIC EARTHQUAKE PREDICTION BASED ON RADON CONCENTRATION CHANGES IN INDONESIA
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Radon concentration changes are one of the natural anomalies that occur before an earthquake occurs. These events can be used as a medium to predict earthquakes. The detection system contains an ionization chamber, signal processor, system controller, data
Bridge Health Detection System
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This project system uses wireless network on real time basis for bridge health monitoring purpose. It can transmit the data continuously for several minutes. Currently bridge inspection is done by manually. Also takes lots of time to find and detect any fault. It requires
INTRUSION DETECTION SYSTEM IN CLOUDET BASED MEDICAL DATA SHARING
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Now a days cloud has become one of the fascinating domain in order to store and retrieve all the data from the remote machines rather from the local machines. With the popularity of wearable devices, along with the development of clouds and cloud hand held technology
Determining Unmanned Aerial Vehicle Desing Parameters for Air Pollution Detection System
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The expansion of the use of unmanned aerial vehicles has developed new ideas and applications. The use of unmanned aerial vehicles has a wide target range from postal distribution to agricultural land inspection. The aim of this study is to design unmanned
Nanoarchitectured point-of-care detection system for clinically relevant biomarkers
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The detection of disease-specific biomarkers such as proteins (particularly autoantibody) and microRNA (miRNA) are prerequisites to understanding their physiological and biological functions, early diagnosis, the prognosis of the disease and their treatmentThe wireless sensor network (WSN) is one the most convenient and easily adoptable ad-hoc technique for data transmission. With many flexibilities of WSN there are many loop holes. The decentralized architecture of WSN invites many types of attacks like man-in-the-middle
CAN Intrusion Detection System With Reference To Future Technologies in Vehicle Automation (s)
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In future technologies, it is expected that millions of vehicles will come under the network sharing different parameters for decision making in real-time mode. Among various networking technologies for in vehicle communication as well as intra vehicle Image processing and IoT sensor monitoring network technology has taken the evolutions of sensors to a completely different level. The conflicts between human and animal become a major problem in the agriculture field and in the forest zone which leads to human life in
LiDAR Based Remote Sensing System for Foreign Object Debris Detection (FODD)
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Foreign object debris (FOD) on runway pose potential hazard to safety of the aircraft. This hazard can lead from minor incident to fatal accident. A successful foreign object detection (FOD) can be attained with effective Safety Management System (SMS). According to
A HYBRID APPROACH FOR CYBER SECURITY: IMPROVED INTRUSION DETECTION SYSTEM USING ANN-SVM
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The instances of cyber attacks are increasing as of exponential hike in online processing amid COVID-19 pandemic scenario that significantly compromising huge number of confidential data as well. With the rising security demands, the detection of cyber-attacks has
OBJECT DETECTION SYSTEM USING IMAGE PROCESSING
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Recognizing and tracking anobjectinrealtime is afundamentalconcept in computer vision. To collect the computer vision information of the object under water necessary steps has to be taken which helps many applications. This idea is used for monitoring purposes by which we
Smart Medical Assistance For Accident Detection And Alert System
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Road accidents rates are very high nowadays. Timely medical aid can help in saving lives. This system aims to alert the nearby center about the accident to supply immediate medical care. The attached vehicle within the vehicle senses the damage to the vehicle and
INTERRUPTION DETECTION SYSTEM ARCHITECTURES IN MANET
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The system styles for Manet regarding its applications are either level or multilayer. During this method ideal system style for a Manet depends upon its foundation. In level system frameworks, all hubs are viewed as equivalent. During this manner, theyre applicable for
FACE EMOTION BASED MUSIC DETECTION SYSTEM
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A novel approach that provides, the user with an automatically generated playlist of songs based on the mood of the user. Music plays a very important role in humans daily life and in the modern advanced technologies. The difficulties in the creation of large playlists canSoftware vulnerabilities are a common attack vector for cyber adversaries. This problem has been exacerbated by the wealth of open-source software projects, as code is often copy- pasted to new locations. This causes a serious problem when a new security vulnerability is
L1-Regulated Feature Selection and Deep Learning based Classification for Intrusion Detection System in MANET
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In mobile adhoc network (MANET), the network efficiency and the lifetime of network partly depends upon the competence of the robust intrusion detection system to handle the attacks. The intrusion detection system (IDS) is one of the major component to be integrated
Practice of Intelligent Sound Wave Leak Detection System in Long Distance Natural Gas Pipeline
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Pipeline leakage monitoring is of great significance to ensure the safe operation of natural gas long-distanced pipeline. This paper introduces the mechanism, composition and function of the intelligent sound wave leak detection system and introduces the application
Efficient Detection of Phishing Websites Using Multilayer Perceptron
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In this paper, a novel approach is utilized that uses a Neural Network with a multilayer perceptron to detect the scam URL. The proposed system improves the accuracy of the scam detection system as it achieves a high accuracy percentage of 98.5
Fake News Detection System
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The things you read online especially on social media occur to be true or fake. Fake news is a news, stories or hoaxes that are created purposely to misinform or betray the readers. So, we design this paper for a feature of detecting a fake news by using differentThe fire detection system combines the simultaneous measurements of smoke, carbon monoxide, and carbon dioxide. The security of campus against intruders moving in laboratories, class rooms, staffrooms or washrooms. The fire alarm system consists of Fire
A DETAILED STUDY ON ANAMOLY BASED INTRUSION DETECTION SYSTEM
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Attacks on the internet keep on increasing and it causes harm to our security system . In order to minimize these threats and attacks, it is necessary to have a security system that has the ability to detect these attacks and analyze them. This is where an intrusion detection
DAMAGE DETECTION SYSTEM USING OPEN CV
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Keeping roads in a good condition is vital to safe driving. To monitor the degradation of road conditions is one of the important components in transportation maintenance which is labour intensive and requires domain expertise. Automatic detection of road damage is an
Fall Detection System for Elderly People using Vision-Based Analysis
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Fall is one the major cause of death for older people. Detecting the fall plays a major role in saving lives. There are three different types of fall detection commonly used, such as wearable, ambient sensor and vision-based methods. This paper presents a real-time vision
AN IMPROVED CAPTCHA BASED INTRUSION DETECTION SYSTEM BASED ON REDIRECTOR MODEL
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This study deals with an Improved Completely Automated Turning test to tell Computers and Humans Apart (CAPTCHA)-Based Intrusion Detection System Based on Redirector Model. In advanced technological world today, internet usage is inevitable but there are certain
Development of a network attack detection system based on hybrid neuro-fuzzy algorithms.
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The imperfection of existing intrusion detection methods, as well as the changing nature of malicious actions by the attacker, make computer systems unsafe, therefore it is important to identify new types of attacks and respond to them on time. The developed hybrid scheme for
A smart helmet with a built-in drowsiness and alcohol detection system
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Road accidents are increasing day by day. Many people suffer long term even injuries, permanent damages or also lose their lives. Ensuring the safety of riders has become a significant concern for these days. This project is designed to reduce the chance ofWith the increase in use of network technology and internet in todays world, cyber attacks and corruption of network protocols have become an inevitable part of the system . In order to tackle this, an efficient Intrusion Detection System (IDS) is required. IDS is a system that
RADAR BASED ANIMAL DETECTION SYSTEM FOR ROAD SAFETY
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The major issue that all the developed nations are confronting today is road accidents. Due to these road accidents, some of the people died and most of the people injured. Nowadays, accidents are increasing day by day and mostly happen on highways due to an increase in
ONDaSCA: On-demand Network Data Set Creation Application for Intrusion Detection System
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Technology in recent times, it has becoming more relevant to find measures to secure every online device, data and information. A Network Intrusion Detection System (NIDS) is one of the security options to consider to help protect such devices, data and information. HoweverThe excessive growth of internet and the rise of cyber security threats have led to easily vulnerable network environment. Cyber security threat ranges from simple password hacking to advanced persistent threats. To provide a secured network environment, firewall
FRUIT MATURITY DETECTION SYSTEM USING NON-DESTRUCTIVE TESTING
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Fruit maturity analysis is very much essential for fruit cultivators and vendors. When the fruit mature beyond the permissible limit, it will become rotten and so the fruit is unfit for human consumption. To find a solution for this problem, a low cost maturity detection system using
Design and Implementation of a Smart Bike Accident Detection System
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Nowadays overpopulated countries like Bangladesh have become a warzone where thousands of people lose their lives and even more become handicapped due to road accidents. With the recent popularity of ride sharing apps like Pathao, Uber Moto, Shohoz
Facing the Unknown: A Stream Learning Intrusion Detection System for Reliable Model Updates
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Current machine learning approaches for network-based intrusion detection do not cope with new network traffic behavior, which requires periodic computationally and time- consuming model updates. In light of this limitation, this paper proposes a novel stream
FACE DETECTION SYSTEM WITH FACE RECOGNITION
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The face is one of the easiest ways to distinguish the individual identity of each other. Face recognition is a personal identification system that uses personal characteristics of a person to identify the persons identity. Human face recognition procedure basically consists of two CSE PROJECTS