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Author

Vanlalruata Hnamte

Institution: Mizoram University
Observed institution: Mizoram University
ORCID: 0000-0002-3376-7828
Observed ORCID: 0000-0002-3376-7828
OpenAlex ID: A5077676352
DCNNBiLSTM: An Efficient Hybrid Deep Learning-Based Intrusion Detection System
2023 · Vanlalruata Hnamte, Jamal Hussain · Telematics and Informatics Reports · 309
A Novel Two-Stage Deep Learning Model for Network Intrusion Detection: LSTM-AE
2023 · Vanlalruata Hnamte, Hong Nhung-Nguyen, et al. · IEEE Access · 238
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DDoS attack detection and mitigation using deep neural network in SDN environment
2023 · Vanlalruata Hnamte, Ashfaq Ahmad Najar, et al. · Computers & Security · 202
Dependable intrusion detection system using deep convolutional neural network: A Novel framework and performance evaluation approach
2023 · Vanlalruata Hnamte, Jamal Hussain · Telematics and Informatics Reports · 127
An efficient DDoS attack detection mechanism in SDN environment
2023 · Vanlalruata Hnamte, Jamal Hussain · International Journal of Information Technology · 51
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Enhancing security in Software-Defined Networks: An approach to efficient ARP spoofing attacks detection and mitigation
2024 · Vanlalruata Hnamte, Jamal Hussain · Telematics and Informatics Reports · 32
A lightweight intrusion detection system using deep convolutional neural network
2025 · Vanlalruata Hnamte, Ashfaq Ahmad Najar, et al. · Computers & Electrical Engineering · 31
Deep Learning Based Intrusion Detection System: Software Defined Network
2021 · Jamal Hussain, Vanlalruata Hnamte · Asian Conference on Innovation in Technology (ASIANCON) · 25
An Extensive Survey on Intrusion Detection Systems: Datasets and Challenges for Modern Scenario
2021 · Vanlalruata Hnamte, Jamal Hussain · International Conference on Electrical, Control and Instrumentation Engineering (ICECIE) · 18
A Novel Deep Learning Based Intrusion Detection System : Software Defined Network
2021 · Jamal Hussain, Vanlalruata Hnamte · International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) · 17
Network Intrusion Detection using Deep Convolution Neural Network
2023 · Vanlalruata Hnamte, Jamal Hussain · International Conference for Emerging Technology (INCET) · 16
Deep Learning Based Intrusion Detection System:Modern Approach
2021 · Jamal Hussain, Vanlalruata Hnamte · IEEE Global Conference for Advancement in Technology (GCAT) · 13
Efficient Deep Learning Approach for Modern Skin Cancer Detection
2023 · Laldinsangi Tlaisun, Jamal Hussain, et al. · Indian Journal of Science and Technology · 10
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DDoS Detection Using Hybrid Deep Neural Network Approaches
2023 · Vanlalruata Hnamte, Jamal Hussain · IEEE International Conference for Convergence in Technology (I2CT) · 7
LIDS: A Novel Lightweight Intrusion Detection System for DDoS Attacks
2025 · Ashfaq Ahmad Najar, Owais Mujtaba Khanday, et al. · Security and Privacy · 6
Mizo to English Machine Translation: An Evaluation Benchmark
2022 · Vanlalruata Hnamte, Haulai Thangkhanhau, et al. · International Conference on Futuristic Technologies (INCOFT) · 2
Enhancing Secured Network Slicer for Cloud Security Systems
2023 · Vanlalruata Hnamte, Jamal Hussain, et al. · Indian Journal of Science and Technology · 1
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A Brief Study on Cybercrimes and Practices in Mizoram
2021 · Jamal Hussain, Vanlalruata Hnamte, et al. · International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) · 1
Cross-dataset zero-shot IoT attack detection using a hybrid CNN–BiLSTM + attention framework with explainable AI
2026 · Vanlalruata Hnamte · Measurement Digitalization
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AI-driven e-commerce in the industry 5.0 era: A parallel-empirical framework, decision support, and methodological caution
2026 · Runu Patgiri, Vanlalruata Hnamte, et al. · Strategic Business Research
A Review of the Role of 6G and Wearable Technologies in Shaping the Future
2025 · Vanlalruata Hnamte, Jamal Hussain, et al. · IEEE International Conference on Advanced Computing Technologies (ICACT)
Mathematical Modeling for Mitigating Covid19
2023 · Jamal Hussain, Joan Laldinpuii, et al. · IEEE Region Humanitarian Technology Conference
Works count: 22
Citation count: 1,106
H-index: 12
I10-index: 13
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