Intrusion Detection via Machine Learning for SCADA System Protection
نویسندگان
چکیده
SCADA (Supervisory Control And Data Acquisition) systems have always been susceptible to cyber-attacks. Different types of cyber-attacks could occur depending on the architecture and configurations used in the SCADA system. To protect cyber infrastructure from above attacks a growing collaborative effort between cyber security professionals and researchers from private and academia has involved in designing variety of intelligent intrusion detection systems. This paper introduces a new European Framework-7 project CockpitCI and roles of intelligent machine learning methods to prevent SCADA systems from cyber-attacks.
منابع مشابه
A Hybrid Machine Learning Method for Intrusion Detection
Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implemen...
متن کاملHierarchical Online Intrusion Detection for SCADA Networks
We propose a novel hierarchical online intrusion detection system (HOIDS) for supervisory control and data acquisition (SCADA) networks based on machine learning algorithms. By utilizing the server-client topology while keeping clients distributed for global protection, high detection rate is achieved with minimum network impact. We implement accurate models of normal-abnormal binary detection ...
متن کاملIntelligent Intrusion Detection Approach for SCADA System Protection
In traditional intrusion detection systems (IDS) used for critical infrastructure protection, such as SCADA (Supervisory Control and Data Acquisition) systems, intrusion alerts are analyzed by human analysts (security analysts). They evaluate the alerts and take decisions accordingly. Nevertheless, this is an extremely difficult and time consuming task as the number of alerts generated could be...
متن کاملA real time OCSVM Intrusion Detection module with low overhead for SCADA systems
In this paper we present a intrusion detection module capable of detecting malicious network traffic in a SCADA (Supervisory Control and Data Acquisition) system. Malicious data in a SCADA system disrupt its correct functioning and tamper with its normal operation. OCSVM (One-Class Support Vector Machine) is an intrusion detection mechanism that does not need any labeled data for training or an...
متن کاملAnalysis, classification and detection methods of attacks via wireless sensor networks in SCADA systems
Effectiveness of information security of APCS (automated process control systems), as well as of SCADA (supervisory control and data acquisition) systems, depends on data transmission’s protection technologies applied on transport environment’s components. This article investigates the problem of detecting attacks on WSN (wireless sensor networks) of SCADA systems. As the result of analytical s...
متن کامل