An integrated rule based intrusion detection system: analysis on UNSW-NB15 data set and the real time online dataset
Intrusion detection system (IDS) has been developed to protect the resources in the network
from different types of threats. Existing IDS methods can be classified as either anomaly …
from different types of threats. Existing IDS methods can be classified as either anomaly …
An intelligent intrusion detection system (IDS) for anomaly and misuse detection in computer networks
In this paper, we propose a novel Intrusion Detection System (IDS) architecture utilizing both
anomaly and misuse detection approaches. This hybrid Intrusion Detection System …
anomaly and misuse detection approaches. This hybrid Intrusion Detection System …
A two-stage hybrid classification technique for network intrusion detection system
J Hussain, S Lalmuanawma… - International journal of …, 2016 - Taylor & Francis
Conventional Network intrusion detection system (NIDS) mostly uses individual
classification techniques, such system fails to provide the best possible attack detection rate …
classification techniques, such system fails to provide the best possible attack detection rate …
[PDF][PDF] Decision tree based algorithm for intrusion detection
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An Intrusion Detection System (IDS) is a defense measure that supervises activities of the …
An Intrusion Detection System (IDS) is a defense measure that supervises activities of the …
An efficient network intrusion detection and classification system
Intrusion detection in computer networks is of great importance because of its effects on the
different communication and security domains. The detection of network intrusion is a …
different communication and security domains. The detection of network intrusion is a …
Statistical analysis of CIDDS-001 dataset for network intrusion detection systems using distance-based machine learning
A lot of research is being done on the development of effective Network Intrusion Detection
Systems. Anomaly based Network Intrusion Detection Systems are preferred over Signature …
Systems. Anomaly based Network Intrusion Detection Systems are preferred over Signature …
An enhanced J48 classification algorithm for the anomaly intrusion detection systems
S Aljawarneh, MB Yassein, M Aljundi - Cluster Computing, 2019 - Springer
In this paper, we have developed an enhanced J48 algorithm, which uses the J48 algorithm
for improving the detection accuracy and the performance of the novel IDS technique. This …
for improving the detection accuracy and the performance of the novel IDS technique. This …
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 …
A detailed analysis of benchmark datasets for network intrusion detection system
The enormous increase in the use of the Internet in daily life has provided an opportunity for
the intruder attempt to compromise the security principles of availability, confidentiality, and …
the intruder attempt to compromise the security principles of availability, confidentiality, and …
[HTML][HTML] A deep learning technique for intrusion detection system using a Recurrent Neural Networks based framework
SM Kasongo - Computer Communications, 2023 - Elsevier
In recent years, the spike in the amount of information transmitted through communication
infrastructures has increased due to the advances in technologies such as cloud computing …
infrastructures has increased due to the advances in technologies such as cloud computing …