DDoS Intrusion Detection with Ensemble Stream Mining for IoT Smart Sensing Devices
Security threats in the Smart City Systems are becoming a challenge. These Smart City
Systems, generating Big Data, are a revolutionizing application of the Internet of Things …
Systems, generating Big Data, are a revolutionizing application of the Internet of Things …
Iot big data stream mining
The challenge of deriving insights from the Internet of Things (IoT) has been recognized as
one of the most exciting and key opportunities for both academia and industry. Advanced …
one of the most exciting and key opportunities for both academia and industry. Advanced …
Data-stream-based intrusion detection system for advanced metering infrastructure in smart grid: A feasibility study
As advanced metering infrastructure (AMI) is responsible for collecting, measuring, and
analyzing energy usage data, as well as transmitting this information from a smart meter to a …
analyzing energy usage data, as well as transmitting this information from a smart meter to a …
A study of IoT malware activities using association rule learning for darknet sensor data
Along with the proliferation of Internet of Things (IoT) devices, cyberattacks towards these
devices are on the rise. In this paper, we present a study on applying Association Rule …
devices are on the rise. In this paper, we present a study on applying Association Rule …
Towards next-generation heterogeneous mobile data stream mining applications: Opportunities, challenges, and future research directions
The convergence of Internet of Things (IoTs), mobile computing, cloud computing, edge
computing and big data has brought a paradigm shift in computing technologies. New …
computing and big data has brought a paradigm shift in computing technologies. New …
Stream-based machine learning for network security and anomaly detection
Data Stream Machine Learning is rapidly gaining popularity within the network monitoring
community as the big data produced by network devices and end-user terminals goes …
community as the big data produced by network devices and end-user terminals goes …
[HTML][HTML] Injection attack detection using machine learning for smart IoT applications
Smart cities are a rapidly growing IoT application. These smart cities mainly rely on wireless
sensors to connect their different components (smart devices) together. Smart cities rely on …
sensors to connect their different components (smart devices) together. Smart cities rely on …
An intrusion detection system against DDoS attacks in IoT networks
In this paper, we present an Intrusion Detection System (IDS) using the hybridization of the
deep learning technique and the multi-objective optimization method for the detection of …
deep learning technique and the multi-objective optimization method for the detection of …
Senmqtt-set: An intelligent intrusion detection in iot-mqtt networks using ensemble multi cascade features
H Siddharthan, T Deepa, P Chandhar - IEEE Access, 2022 - ieeexplore.ieee.org
Recently, the number of Internet of Things (IoT) networks has been grown exponentially,
which results in more data sharing between devices without appropriate security …
which results in more data sharing between devices without appropriate security …
Threat analysis and distributed denial of service (DDoS) attack recognition in the internet of things (IoT)
The Internet of Things (IoT) plays a crucial role in various sectors such as automobiles and
the logistic tracking medical field because it consists of distributed nodes, servers, and …
the logistic tracking medical field because it consists of distributed nodes, servers, and …