Security System for Railway Crossings using Machine Learning

2020 ◽  
Author(s):  
Gauransh Singh ◽  
Praveen Kumar ◽  
Rishabh Kumar Mishra ◽  
Sanskriti Sharma ◽  
Kushagra Singh
Keyword(s):  
Machine Learning ◽  
Security System

SMART X-RAY BAGGAGE SECURITY SYSTEM USING MACHINE LEARNING ALGORITHM

2020 ◽  
Vol 8 (2) ◽  
pp. 8
Author(s):  
M. SUDHA ◽  
R. HARINI ◽  
D. JAYASHREE ◽  
K. KEERTHI NISHA ◽  
◽  
...  
Keyword(s):  
Machine Learning ◽  
Learning Algorithm ◽  
Security System ◽  
Machine Learning Algorithm ◽  
X Ray

Machine-Learning-Based White-Hat Worm Launcher in Botnet Defense System

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Machine Learning ◽  
Petri Net ◽  
Cyber Security ◽  
Large Scale ◽  
Security System ◽  
Divide And Conquer ◽  
Defense System ◽  
Divide And Conquer Algorithm

This article proposes a white-hat worm launcher based on machine learning (ML) adaptable to large-scale IoT network for Botnet Defense System (BDS). BDS is a cyber-security system that uses white-hat worms to exterminate malicious botnets. White-hat worms defend an IoT system against malicious bots, the BDS decides the number of white-hat worms, but there is no discussion on the white-hat worms' deployment in IoT network. Therefore, the authors propose a machine-learning-based launcher to launch the white-hat worms effectively along with a divide and conquer algorithm to deploy the launcher to large-scale IoT networks. Then the authors modeled BDS and the launcher with agent-oriented Petri net and confirmed the effect through the simulation of the PN2 model. The result showed that the proposed launcher can reduce the number of infected devices by about 30-40%.

scholarly journals Visitor/Intruder Monitoring System using Haar-cascade Classifier Algorithm

2020 ◽  
pp. 229-231
Author(s):  
Jenifa G ◽  
Yuvaraj N ◽  
SriPreethaa K R
Keyword(s):  
Machine Learning ◽  
Face Recognition ◽  
Monitoring System ◽  
Face Detection ◽  
Security System ◽  
Machine Learning Algorithms ◽  
Advanced Technology ◽  
Cascade Classifier ◽  
Home Security ◽  
Haar Cascade

Home security system plays a predominant role in the modern era. The purpose of the security systems is to protect the members of the family from intruders. The main idea behind this system is to provide security for residential areas. In today’s world securing our home takes a major role in the society. Surveillance from home to huge industries, plays a significant role in the fulfilment of our security. There are many machine learning algorithms for home security system but Haar-cascade classifier algorithm gives a better result when compared with other machine learning algorithm This system implements a face recognition and face detection using Haar-cascade classifier algorithm, OpenCV libraries are used for training and testing of the face detection process. In future, face recognition will be everywhere in the world. Face recognition is creating a magic in every field with its advanced technology. Visitor/Intruder monitoring system using Machine Learning is used to monitor the person and find whether the person is a known or unknown person from the captured picture. Here LBPH (Local Binary Pattern Histogram) Face Recognizer is used. After capturing the image, it is compared with the available dataset then their respective name and picture is sent to the specified email to alert the owner.

scholarly journals Exhaustive Security System Based on Face Recognition Incorporated with Number Plate Identification using Optical Character Recognition

2020 ◽  
Vol 39 (1) ◽  
pp. 145-152
Author(s):  
Muhammad Yasir Zaheen ◽  
Zia Mohi-u-din ◽  
Ali Akber Siddique ◽  
Muhammad Tahir Qadri
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Face Recognition ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Recognition Algorithm ◽  
Security System ◽  
Security Issues ◽  
Optical Character

In recent times due to rise in terrorism, people need to live in a safer place where unidentified persons will not be allowed to enter in the premises. Securing of major areas is a vital issue that needs to be addressed for the intelligence and security agencies. At the surrounding of premises, CCTV (CloseCircuit Television) cameras are usually installed to identify the number plate from database by using OCR (Optical Character Recognition) algorithm. This method of security by identifying only vehicle without verifying the person inside it is usually causing serious security issues. Identification of a person is usually done through image processing by using Viola Jones algorithm and acquire the information of the facial components to create a dataset for machine learning. It is imperative to introduce such a system that will be capable to identify the person along with the number plate of vehicle from the stored database. In this research, a comprehensive security system based on face recognition integrated with the vehicle number plate is proposed. The combined information of both dedicated cameras is then transferred to the based station for identification. This system is capable, of securing premises from crime in a more enhanced way.

Machine Learning-Based Ensemble Network Security System

2021 ◽  
pp. 3-15
Author(s):  
Prashanth P. Wagle ◽  
Shobha Rani ◽  
Suhas B. Kowligi ◽  
B. H. Suman ◽  
B. Pramodh ◽  
...  
Keyword(s):  
Machine Learning ◽  
Network Security ◽  
Security System ◽  
Network Security System

scholarly journals Artificial Intelligence and Advances

2020 ◽  
Vol 1 (1) ◽  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Smart Materials ◽  
Research Abstract ◽  
General Purpose ◽  
Security System ◽  
Machine Learning Techniques ◽  
Goods And Services ◽  
Control Intervention ◽  
And Control

This research abstract shares open source theme smart materials and technology for the Current and Future Global Challenges in relation with artificial intelligence which is the simulation of human intelligence processes by machines, especially computer systems. AI will also have a major impact on illegal/illicit /legal harmful drugs, chemicals, toxic herbs and others Control Intervention. the patent pending this scientific computing innovation; will include illegal/illicit/ legal harmful drugs, chemicals, toxic herbs and others Control security system and special purpose computer connected intelligent equipment’s, with sensors capable of taking thousands of measurements throughout the production process and generating billions of data points used to monitor, analyze and control the trafficking process. AI and machine learning are also contributing to the development of next-generation security system, accelerating the development of security intervention for conditions where there are no viable options today. Artificial intelligence promises both to improve existing goods and services, by enabling the automation of many tasks, to greatly increase the efficiency with which they are produced. But it may have an even larger impact on the economy by serving as a new general-purpose method of invention for unique or special tasks; Where Artificial intelligence (AI) clearly lead to better outcomes, already producing benefits and optimizing processes, increasingly sophisticated algorithms and machine learning techniques of data on a particular issue, generate insights, detections and resulting with more efficiency than teams of humans ever could.

Automation of Security System Using Machine Learning

2019 ◽  
Vol 7 (5) ◽  
pp. 1756-1761
Author(s):  
Sam Sebastian ◽  
Dipin S Nair ◽  
Aiswarya B Nair ◽  
Jeswin Elza Varghese ◽  
Sithu Ubaid
Keyword(s):  
Machine Learning ◽  
Security System
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