Traffic data classification for security in iot-based road signaling system

摘要: Traffic congestion is one of the major problems faced by people in large cities. The traffic controlling systems at present are time stamp oriented which is semiautomatic in nature. With the introduction of IoT in traffic signaling systems, researches are being done considering density as a parameter for automating the traffic signaling system and regulate traffic dynamically. Security is a concern when sensitive data of great volume is being transmitted wirelessly. To prevent the issues on security protocols, we here developed a secured IoT-based system with intelligence that will analyze the traffic data patterns for good or bad and accordingly block attacks to the system. In here, we are addressing man-in-the-middle attack (MITM) only on data for security analysis as a first step. So toward this, support vector machine learning algorithm deployed at the Edge that would classify the traffic data as good or bad based …