Sharipuddin Sharipuddin
Sriwijaya University
Deep learningData miningData typeArtificial intelligenceHeterogeneous networkNetwork securityIdentity (object-oriented programming)Task (project management)Identification methodsComputer networkIntrusion detection systemComputer scienceAnomaly detectionOutlierInternet of ThingsTaxonomy (general)
13Publications
1H-index
5Citations
Publications 4
Newest
#2Eko Arip Winanto (UTM: Universiti Teknologi Malaysia)H-Index: 1
Last. Rahmat Budiarto (Al Baha University)H-Index: 13
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Heterogeneous network is one of the challenges that must be overcome in Internet of Thing Intrusion Detection System (IoT IDS). The difficulty of the IDS significantly is caused by various devices, protocols, and services, that make the network becomes complex and difficult to monitor. Deep learning is one algorithm for classifying data with high accuracy. This research work incorporated Deep Learning into IDS for IoT heterogeneous networks. There are two concerns on IDS with deep learning in he...
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#1Sharipuddin Sharipuddin (Sriwijaya University)H-Index: 1
#2Benni Purnama (Sriwijaya University)H-Index: 3
Last. Rahmat Budiarto (Al Baha University)H-Index: 13
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The difficulty of the intrusion detection system in heterogeneous networks is significantly affected by devices, protocols, and services, thus the network becomes complex and difficult to identify. Deep learning is one algorithm that can classify data with high accuracy. In this research, we proposed deep learning to intrusion detection system identification methods in heterogeneous networks to increase detection accuracy. In this paper, we provide an overview of the proposed algorithm, with an ...
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#2Benni PurnamaH-Index: 3
Last. Sharipuddin SharipuddinH-Index: 1
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Sekretariat daerah kota sungai penuh dan Masyarakat didalam lingkungan kota sungai penuh menyampaikan keluhan serta aspirasinya masih harus datang langsung ke Desa atau Kelurahan. Dengan demikian dibutuhkan sebuah Rancangan Aplikasi baru yang terbuka dan terhubung langsung dengan masyarakat sehingga Masyarakat Kota sungai penuh bisa langsung menyampaikan keluhan dan aspirasinya sendiri lewat mobile dimana saja ia berada yang langsung terhubung ke SKPD terkait dan Bupati serta tanpa harus datang ...
Data analysis to identifying attacks/anomalies is a crucial task in anomaly detection and network anomaly detection itself is an important issue in network security. Researchers have developed methods and algorithms for the improvement of the anomaly detection system. At the same time, survey papers on anomaly detection researches are available. Nevertheless, this paper attempts to analyze futher and to provide alternative taxonomy on anomaly detection researches focusing on methods, types of an...
5 CitationsSource