IoT intrusion detection system using deep learning and enhanced transient search optimization

A Fatani, M Abd Elaziz, A Dahou, MAA Al-Qaness… - IEEe …, 2021 - ieeexplore.ieee.org
The great advancements in communication, cloud computing, and the internet of things (IoT)
have opened critical challenges in security. With these developments, cyberattacks are also …

A hybrid deep learning-based model for anomaly detection in cloud datacenter networks

S Garg, K Kaur, N Kumar, G Kaddoum… - … on Network and …, 2019 - ieeexplore.ieee.org
With the emergence of the Internet-of-Things (IoT) and seamless Internet connectivity, the
need to process streaming data on real-time basis has become essential. However, the …

Ai-based two-stage intrusion detection for software defined iot networks

J Li, Z Zhao, R Li, H Zhang - IEEE internet of Things Journal, 2018 - ieeexplore.ieee.org
Software defined Internet of Things (SD-IoT) networks profit from centralized management
and interactive resource sharing, which enhances the efficiency and scalability of Internet of …

Machine learning‐based IDS for software‐defined 5G network

J Li, Z Zhao, R Li - Iet Networks, 2018 - Wiley Online Library
As an inevitable trend of future fifth generation (5G) networks, software‐defined architecture
has many advantages in providing centralised control and flexible resource management …

Virtualization vulnerabilities, security issues, and solutions: a critical study and comparison

D Tank, A Aggarwal, N Chaubey - International Journal of Information …, 2019 - Springer
Virtualization is technological revolution that separates functions from underlying hardware
and allows us to create useful environment from abstract resources. Virtualization …

Network anomaly detection research: a survey

K Kurniabudi, B Purnama… - … Journal of Electrical …, 2019 - section.iaesonline.com
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 …

HyClass: Hybrid classification model for anomaly detection in cloud environment

S Garg, K Kaur, N Kumar, S Batra… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
Network traffic analysis is one of the most important tasks in the era of on-demand Cloud
Computing. However, increased resilience on computing needs, migration flexibility, and …

A machine learning based intrusion detection system for software defined 5G network

J Li, Z Zhao, R Li - arxiv preprint arxiv:1708.04571, 2017 - arxiv.org
As an inevitable trend of future 5G networks, Software Defined architecture has many
advantages in providing central-ized control and flexible resource management. But it is …

Virtual machine migration-based Intrusion Detection System in cloud environment using deep recurrent neural network

BV Srinivas, I Mandal, S Keshavarao - Cybernetics and Systems, 2024 - Taylor & Francis
Cloud system attracts users with the desired features, and in the meanwhile, cloud system
may experience various security issues. An effective intrusion detection system is offered by …

[PDF][PDF] A comprehensive tutorial and survey of applications of deep learning for cyber security

KP Soman, M Alazab, S Sriram - Authorea Preprints, 2023 - authorea.com
A Comprehensive Tutorial and Survey of Applications of Deep Learning for Cyber Security
Page 1 P osted on 5 Jan 2020 — CC-BY 4.0 — h ttps://doi.org/10.36227/tech rxiv.11473377.v1 …