SQL injection detection and prevention system with raspberry Pi honeypot cluster for trapping attacker

2014 ◽  
Author(s):  
Supeno Djanali ◽  
FX Arunanto ◽  
Baskoro Adi Pratomo ◽  
Hudan Studiawan ◽  
Satrio Gita Nugraha
Keyword(s):  
Raspberry Pi ◽  
Sql Injection ◽  
Prevention System

scholarly journals IoT based Raspberry Pi Crop Vandalism Prevention system

2019 ◽  
Vol 9 (1) ◽  
pp. 3188-3192 ◽  
Keyword(s):  
Soil Moisture ◽  
Food Production ◽  
Irrigation System ◽  
Protection System ◽  
Population Increase ◽  
Raspberry Pi ◽  
Agricultural Fields ◽  
Important Process ◽  
Prevention System ◽  
Automated Irrigation System

Agriculture is a major source of food production in our country. Growth in population increase the demand for food production and agriculture is the main source. Irrigation in agriculture is an important process that affects the development of crops. In particular, farmers visit their agricultural fields regularly to check the level of soil moisture and water is pumped by motors to irrigate their respective fields on the basis of requirements. But the limitation of protecting crops from animals becomes a major concern for yield. This works presents the protection system in addition to the automated irrigation system.

scholarly journals SQL Injection Attacks Prevention System Technology: Review

2021 ◽  
pp. 13-32
Author(s):  
Fairoz Q. Kareem ◽  
Siddeeq Y. Ameen ◽  
Azar Abid Salih ◽  
Dindar Mikaeel Ahmed ◽  
Shakir Fattah Kak ◽  
...  
Keyword(s):  
Private Information ◽  
Web Applications ◽  
Sql Injection ◽  
Injection Attacks ◽  
Prevention System ◽  
Injection Methods ◽  
Sql Injection Attacks ◽  
Technology Review ◽  
Gain Access

The vulnerabilities in most web applications enable hackers to gain access to confidential and private information. Structured query injection poses a significant threat to web applications and is one of the most common and widely used information theft mechanisms. Where hackers benefit from errors in the design of systems or existing gaps by not filtering the user's input for some special characters and symbols contained within the structural query sentences or the quality of the information is not checked, whether it is text or numerical, which causes unpredictability of the outcome of its implementation. In this paper, we review PHP techniques and other techniques for protecting SQL from the injection, methods for detecting SQL attacks, types of SQL injection, causes of SQL injection via getting and Post, and prevention technology for SQL vulnerabilities.

scholarly journals Automatic delivery-scam prevention using Raspberry-Pi

2022 ◽  
Vol 25 (1) ◽  
pp. 113
Author(s):  
Bindu Bhaskaran ◽  
Barath Krishna Gunasekaran ◽  
Srinivasan Velumani
Keyword(s):  
Pi Controller ◽  
Raspberry Pi ◽  
Prevention System ◽  
Product Delivery ◽  
Time Reduction

The word ‘automatic’ is unavoidable in this modern technical era. Automation facilitates not only technical advancement and time reduction to several processes, but also provides protection in various aspects. Delivery scam is a commonly occurring crime and it has to be reduced. Product delivery is a long process which involves various people to ensure correct delivery to the customer, providing chances for scam to occur. This paper discusses on an automatic delivery-scam prevention system with the help of Raspberry-Pi controller. This system provides safety to the ordered goods by limiting the authorisation of opening the packages to company and the customer only. It assures the safe and correct delivery of the ordered product.

scholarly journals Internet of Things(IoT) Based Multilevel Drunken Driving Detection and Prevention System Using Raspberry Pi 3

2020 ◽  
Author(s):  
Viswanatha V ◽  
Venkata Siva Reddy R ◽  
Ashwini Kumari P ◽  
Pradeep kumar S
Keyword(s):  
Internet Of Things ◽  
Alcohol Intake ◽  
Heart Beat ◽  
The Body ◽  
Raspberry Pi ◽  
Ignition System ◽  
Prevention System ◽  
Heart Beat Rate ◽  
Drunken Driving ◽  
Death Cases

In this paper, the proposed system has demonstrated three ways of detecting alcohol level in the body of the car driver and prevent car driver from driving the vehicle by turning off the ignition system. It also sends messages to concerned people. In order to detect breath alcohol level MQ-3 sensor is included in this module along with heartbeat sensor which can detect the heart beat rate of driver, facial recognition using webcam & MATLAB and a Wi-Fi module to send a message through the TCP/IP App, a Raspberry pi module to turn off the ignition and an alarm as prevention module. If a driver alcohol intake is more than the prescribed range, set by government the ignition will be made off provided either his heart beat abnormal or the driver is drowsy. In both the cases there will be a message sent to the App and from the App you can send it to family, friend, and well-wisher or nearest cop for the help. The system is developed considering the fact if driver is drunk and he needs a help, his friend can drive the car if he is not drunk. The safety of both the driver and the surroundings are aimed by this system and this aids in minimizing death cases by drunken driving and also burden on the cops.

scholarly journals Implementation of Bridge Strength Detection and Accident Prevention System using Raspberry pi

2020 ◽  
Vol 8 (6) ◽  
pp. 4736-4738
Keyword(s):  
Real Time ◽  
Accident Prevention ◽  
Raspberry Pi ◽  
Real Time Monitoring ◽  
Computing Systems ◽  
Prevention System ◽  
Crisis Scenarios ◽  
The Cost

In today’s era, there is a huge advancement in the field of sensors and computing systems which make real- time monitoring of Bridges much easier and cheaper. There is a need for real-time bridge strength monitoring to avoid crisis scenarios. Currently available systems use a much more complicated wired network, sensors, and controller, this results in a high cost of installation resulting in an increase in the cost of a bridge. The wired network increases complexity which makes it complicated to install. This paper proposes the use of Raspberry pi which has a longer lifespan which reduces complications innetwork and uses advanced sensors

scholarly journals Review on Theft Prevention System using Raspberry Pi and PIR Sensor

2016 ◽  
Vol 155 (11) ◽  
pp. 8-11 ◽  
Author(s):  
Sadhana Godbole ◽  
Shivani Deshpande ◽  
Neha Barve ◽  
Sakshi Galim
Keyword(s):  
Raspberry Pi ◽  
Prevention System
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