Intelligent user identity authentication in vehicle security system based on wireless signals

Intelligent identity authentication in vehicle security systems, as a vital component in anti-theft system and safety driving assist system, has received wide attention. Current vehicle security systems, however, focus the car security on the car keys security, ignore the owner of car keys. Anyone who owns the car keys can operate the car. This paper introduces an intelligent identity authentication method for vehicle security system based on wireless signals. Unlike past work, our approach combines car security with car owners and car keys. The intuition underlying our design is that when a user walks towards the car, the user’s gait information can be leveraged to identify the user. We capture the user’s gait information using wireless devices which can be deployed in the car, and then extract features from the received wireless signals using convolution kernel and apply artificial neural network to identify the user. We built a prototype and experimental results show that our approach can achieve high accuracy and strong robustness.

Design and Construction of Smart Vehicle Security System Using GPS and Spy Cam

Aims: Vehicle security is critical in today's world because car thefts are on the rise. robbery, and impersonation are among the crimes committed against automobiles. As a result, keeping track of and safeguarding vehicles has grown to be a significant problem in modern life. Study Design: The system combines GPS (Global Positioning Service), GSM (Global System for Mobile Communications), and Spy Cam technologies interfaced with an Arduino UNO to track the location of a car in real time. Methodology: Short Message Service (SMS) messages are sent to the user or Vehicle authority mobile phone together with images of the current vehicle operator when SMS with the word "Track" is composed and sent to the SIM number inserted into the GSM module. BLYNK Android application serves as database for storing and retrieving cloud information when requested. Results: The vehicle current location and the image of the current user will be displayed on Google Maps application of the sender. This technology enhances mobile vehicle security and avoid loss and impersonation. An SMS security warning is also sent to the owner when there is a lot of movement in front of the camera. Conclusion: This system helps in detection and reporting of vehicle theft in real time. It can be employed in individual cars since it is affordable; also vehicle safety authorities can employ this technology to help them secure vehicles better.

Design and Development of Vehicle Theft Detection, Tracking and Accident Identifier System using IoT

Vehicle security is one of the major concerns that the entire world is currently experiencing. People generally own automobiles, yet these automobiles are not always secure. Vehicle theft occurs in parking lots, public places, and other unsafe areas. The vehicle’s manufacturer does not consider the vehicle security system to be a factor in the overall cost of the vehicle. Nowadays, only a few vehicles come equipped with high-priced security systems. Door locking, alarm system, GSM, GPS, and other security features are built into high-end vehicles only. There is a necessity to build a low-cost security system for vehicles that common people can afford it and the manufacture can built-in the security system in a wide range of automobiles. This paper proposed a method for vehicle theft detection, tracking, and accident identification using the Internet of Things.

Enhancing the accuracy of GPS Positioning for vehicle tracking system

Vehicle security refers to securing the vehicle against potential thieves. Vehicle makers have been experimenting with various approaches in order to give improved security systems. The usage of GPS and GSM technology can provide security for the car. The security of a vehicle is ensured in this project by tracking its whereabouts. For the integration of the global positioning system, the EKF is widely utilised (GPS) When the system's non-linearity grows or the measurement co-variance is erroneous, the EKF’s performance deteriorates. An extended state observer is introduced for the first time to improve loosely coupled GPS navigation performance utilizing accurate measurement modeling. The RMS values of positional errors are reduced by 52.57 percent, 48.56 percent, and 34.16 percent in the north, east, and vertical directions, respectively.

Smart Authentication and Secured Engine Unlocking System for Automobiles

As human life started to evolve on this earth, the craving for smart automobiles has increased, and adding a vehicle security system to secure the automobile from theft in parking and in unsecured places is important. This paper proposes the design and development of smart system to prevent theft that uses biometric authentication to access the door and to start the engine of the automobile. This system initially uses the fingerprint module that takes the real time fingerprint of a person trying to open the vehicle door and compares it with the authorized person’s fingerprint and then allows or denies the access to door, and secondly the camera takes the image of a person trying to start the engine and compares with the authorized person’s image to allow or deny the access to the engine. In case of detection of unauthorized fingerprint, the GSM module sends the message to the owner and in case unauthorized person detected by camera it sends the captured image with alert message to owner. The system is developed using raspberry pi, GSM module, fingerprint module, pi camera, dc and servo motor.

In-Vehicle Networking/Autonomous Vehicle Security for Internet of Things/Vehicles

In recent years, vehicles have become one of the most common examples in the area of ICT convergence applications and services [...]

Enhanced IoV Security Network by Using Blockchain Governance Game

This paper deals with the design of the secure network in an Enhanced Internet of Vehicles by using the Blockchain Governance Game (BGG). The BGG is a system model of a stochastic game to find best strategies towards preparation of preventing a network malfunction by an attacker and the paper applies this game model into the connected vehicle security. Analytically tractable results for decision-making parameters enable to predict the moment for safety operations and to deliver the optimal combination of the number of reserved nodes with the acceptance probability of backup nodes to protect a connected car. This research helps for whom considers the enhanced secure IoV architecture with the BGG within a decentralized network.