About
Contact & Profiles
A5064984784
Research Areas
- IoT and Edge/Fog Computing
- Organizational and Employee Performance
- Internet Traffic Analysis and Secure E-voting
- Network Security and Intrusion Detection
- Anomaly Detection Techniques and Applications
- Blockchain Technology Applications and Security
Shanghai Maritime University
2021
10.1016/j.cie.2022.108527
article
EN
Computers & Industrial Engineering
2022-08-04
To secure cloud computing and outsourced data while meeting the requirements of automation, many intrusion detection schemes based on deep learning are proposed. Though rate network solutions can be quite high nowadays, their identification accuracy imbalanced abnormal traffic still remains low. Therefore, this paper proposes a ResNet &Inception-based convolutional neural (RICNN) model to classification. RICNN learn more features through Inception unit, degradation problem is eliminated...
10.2298/csis210617055x
article
EN
cc-by-nc-nd
Computer Science and Information Systems
2021-11-01
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