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Khaled A. Alaghbari, Heng-Siong Lim, Mohamad Hanif Md Saad and Yik Seng Yong
The intrusion detection system (IDS) is a promising technology for ensuring security against cyber-attacks in internet-of-things networks. In conventional IDS, anomaly detection and feature extraction are performed by two different models. In this paper,...
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Maya Hilda Lestari Louk and Bayu Adhi Tama
As a system capable of monitoring and evaluating illegitimate network access, an intrusion detection system (IDS) profoundly impacts information security research. Since machine learning techniques constitute the backbone of IDS, it has been challenging ...
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Ahmed Latif Yaser, Hamdy M. Mousa and Mahmoud Hussein
Software-defined networking (SDN) is an innovative network paradigm, offering substantial control of network operation through a network?s architecture. SDN is an ideal platform for implementing projects involving distributed applications, security solut...
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Rasheed Ahmad, Izzat Alsmadi, Wasim Alhamdani and Lo?ai Tawalbeh
Today, deep learning approaches are widely used to build Intrusion Detection Systems for securing IoT environments. However, the models? hidden and complex nature raises various concerns, such as trusting the model output and understanding why the model ...
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Mohamed Amine Ferrag, Leandros Maglaras, Ahmed Ahmim, Makhlouf Derdour and Helge Janicke
This paper proposes a novel intrusion detection system (IDS), named RDTIDS, for Internet-of-Things (IoT) networks. The RDTIDS combines different classifier approaches which are based on decision tree and rules-based concepts, namely, REP Tree, JRip algor...
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Thi-Thu-Huong Le, Yongsu Kim and Howon Kim
The recent increase in hacks and computer network attacks around the world has intensified the need to develop better intrusion detection and prevention systems. The intrusion detection system (IDS) plays a vital role in detecting anomalies and attacks o...
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