Towards developing network forensic mechanism for botnet activities in the IoT based on machine learning techniques
The IoT is a network of interconnected everyday objects called “things” that have been
augmented with a small measure of computing capabilities. Lately, the IoT has been affected …
augmented with a small measure of computing capabilities. Lately, the IoT has been affected …
A survey of intrusion detection from the perspective of intrusion datasets and machine learning techniques
The evolution in the attack scenarios has been such that finding efficient and optimal
Network Intrusion Detection Systems (NIDS) with frequent updates has become a big …
Network Intrusion Detection Systems (NIDS) with frequent updates has become a big …
[HTML][HTML] Network intrusion detection system using supervised learning paradigm
Internet has positively changed social, political and economic structures and in many ways
obviating geographical boundaries. The enormous contributions of Internet to business …
obviating geographical boundaries. The enormous contributions of Internet to business …
Intrusion detection system based on hybridizing a modified binary grey wolf optimization and particle swarm optimization
Nowadays, the world is increasingly becoming more connected and dependent on the
Internet and Internet-based services. One of the main challenges of interconnectedness is …
Internet and Internet-based services. One of the main challenges of interconnectedness is …
[PDF][PDF] A Lightweight Hybrid Intrusion Detection Framework using Machine Learning for Edge-Based IIoT Security.
Due to the development of cloud computing and Internet of Things (IoT) environments, such
as healthcare systems, telecommunications and Industry 4.0 or Industrial IoT (IIoT) many …
as healthcare systems, telecommunications and Industry 4.0 or Industrial IoT (IIoT) many …
SVM based network intrusion detection for the UNSW-NB15 dataset
D Jing, HB Chen - 2019 IEEE 13th international conference on …, 2019 - ieeexplore.ieee.org
Due to the growth of internet security issues, Network Intrusion Detection System (NIDS)
becomes an integral part of the IoT environment. In the past, most research on intrusion …
becomes an integral part of the IoT environment. In the past, most research on intrusion …
KDD cup 99 data sets: A perspective on the role of data sets in network intrusion detection research
KDD Cup 99 Data Sets: A Perspective on the Role of Data Sets in Network Intrusion
Detection Research Page 1 COMPUTER 0018-9162/19©2019IEEE PUBLISHED BY THE …
Detection Research Page 1 COMPUTER 0018-9162/19©2019IEEE PUBLISHED BY THE …
Anomaly detection using random forest: A performance revisited
R Primartha, BA Tama - 2017 International conference on data …, 2017 - ieeexplore.ieee.org
Intruders have become more and more sophisticated thus a deterrence mechanism such as
an intrusion detection systems (IDS) is pivotal in information security management. An IDS …
an intrusion detection systems (IDS) is pivotal in information security management. An IDS …
Towards a reliable comparison and evaluation of network intrusion detection systems based on machine learning approaches
Presently, we are living in a hyper-connected world where millions of heterogeneous
devices are continuously sharing information in different application contexts for wellness …
devices are continuously sharing information in different application contexts for wellness …
Model of the intrusion detection system based on the integration of spatial-temporal features
J Zhang, Y Ling, X Fu, X Yang, G Xiong, R Zhang - Computers & Security, 2020 - Elsevier
The intrusion detection system can distinguish normal traffic from attack traffic by analyzing
the characteristics of network traffic. Recently, neural networks have advanced in the fields …
the characteristics of network traffic. Recently, neural networks have advanced in the fields …