Abstract
Internet of Things (IoT) can simply be defined as an extension of the current Internet system. It extends the human to human interconnection and intercommunication scenario of the Internet by including things, to bring anytime, anywhere, and anything communication. A discipline in networking evolving in parallel with IoT is Software Defined Networking (SDN). It is an important technology that is aimed to solve the different problems existing in the traditional network systems. It provides a new convenient home to address the different challenges existing in different network-based systems including IoT. One important security challenge prevailing in such SDN-based IoT (SDIoT) systems is guarantying service availability. The ever-increasing denial of service (DoS) attacks are responsible for such service denials. A centralized signature-based intrusion detection system (IDS) is proposed and developed in this work. Random Forest (RF) classifier is used for training the model. A very popular and recent benchmark dataset, CICIDS2017, has been used for training and validating the machine learning (ML) models. An accuracy result of 99.968% has been achieved by using only 12 features on Wednesday’s release of the dataset. This result is higher than the achieved accuracy results of related works considering the original CICIDS2017 dataset. A maximum cross-validated accuracy result of 99.713% has been achieved on the same release of the dataset. These developed models meet the basic requirement of a supervised IDS system developed for smart environments and can effectively be used in different IoT service scenarios.
Highlights
Internet of ings (IoT) is an extension of the Internet
If human beings use the Internet to get several benefits in life, why not objects are permitted to the communication world to add extra other benefits for human beings? IoTaims to answer this question by extending the scenario on the Internet, the interconnection, and intercommunication of people to people, by including things. us, in IoT, an interconnection and intercommunication of things among themselves and with people will be possible
A new high accuracy result of 99.968% has been achieved on the CICIDS2017-Wed1 dataset using only 12 features
Summary
Internet of ings (IoT) is an extension of the Internet. People use the Internet to get different kinds of benefits. Accounting to the extended vulnerability space in SDN-based IoT (SDIoT) systems, enormous types of attacks are launched toward them. Even if works that use the CICIDS2017 dataset exist, many of them are not specially designed to provide effective and efficient IDS systems against DoS attacks. E main problem that necessitates the undertaking of this research work is the less focus of researches on using the dataset for security purposes More importantly, it is the less focus of researches on enhancing the efficiency and effectiveness of IDS systems in detecting DoS attacks that make the researchers undertake this work. E following contributions are provided by this research work: it provides an efficient IDS system with a high detection performance suited to defend the tremendously increasing DoS attacks.
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