A study on detection methodology of threat on cars from the viewpoint of IoT

Abstract

These days, a conversion of the fast-advancing ICT (Information and Communications Technologies) and the IoT (Internet of Things) has been in progress. However, these conversion Technology could lead to many of the security threat existing in the ICT environment. The security threats of car in the IoT environment could cause the property damage and casualty. There are the inadequate preparations for the car security and the difficulty of detection for the security threats by itself. In this paper, we proposed the decision-making framework for the anomaly detection and found out what are the threats of car in the IoT environment. The discrimination of the factor, path and type of threats from the attack against the car should take priority over the self-inspection and the swift handling of the attack on control system.

Semi-supervised based Unknown Attack Detection in EDR Environment

“…Research on technology for anomaly detection of data related to ICS and EDR has been conducted [13,14]. Alrashdi et al [15] proposed a network-based IoT Anomaly Detection System (AD-IoT) using a Random Forest (RF) algorithm among machine learning algorithms.…”