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IoT intrusion detection system using deep learning and enhanced transient search optimization
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 …
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
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 …
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
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 …
and interactive resource sharing, which enhances the efficiency and scalability of Internet of …
Machine learning‐based IDS for software‐defined 5G network
As an inevitable trend of future fifth generation (5G) networks, software‐defined architecture
has many advantages in providing centralised control and flexible resource management …
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 …
and allows us to create useful environment from abstract resources. Virtualization …
Network anomaly detection research: a survey
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 …
network anomaly detection itself is an important issue in network security. Researchers have …
HyClass: Hybrid classification model for anomaly detection in cloud environment
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 …
Computing. However, increased resilience on computing needs, migration flexibility, and …
A machine learning based intrusion detection system for software defined 5G network
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 …
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
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 …
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
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 …
Page 1 P osted on 5 Jan 2020 — CC-BY 4.0 — h ttps://doi.org/10.36227/tech rxiv.11473377.v1 …