Shallow and deep networks intrusion detection system: A taxonomy and survey
Intrusion detection has attracted a considerable interest from researchers and industries.
The community, after many years of research, still faces the problem of building reliable and …
The community, after many years of research, still faces the problem of building reliable and …
Performance assessment of supervised classifiers for designing intrusion detection systems: a comprehensive review and recommendations for future research
Supervised learning and pattern recognition is a crucial area of research in information
retrieval, knowledge engineering, image processing, medical imaging, and intrusion …
retrieval, knowledge engineering, image processing, medical imaging, and intrusion …
Threat analysis of IoT networks using artificial neural network intrusion detection system
The Internet of things (IoT) is still in its infancy and has attracted much interest in many
industrial sectors including medical fields, logistics tracking, smart cities and automobiles …
industrial sectors including medical fields, logistics tracking, smart cities and automobiles …
Detecting DDoS attacks using machine learning techniques and contemporary intrusion detection dataset
N Bindra, M Sood - Automatic Control and Computer Sciences, 2019 - Springer
Recent trends have revealed that DDoS attacks contribute to the majority of overall network
attacks. Networks face challenges in distinguishing between legitimate and malicious flows …
attacks. Networks face challenges in distinguishing between legitimate and malicious flows …
[HTML][HTML] Cyber threat intelligence using PCA-DNN model to detect abnormal network behavior
Security issues are the most critical challenges facing new technologies associated with the
internet of things (IoT), big data, and cloud computing. A secure and efficient intrusion …
internet of things (IoT), big data, and cloud computing. A secure and efficient intrusion …
[PDF][PDF] Intrusion detection using machine learning: A comparison study
SK Biswas - International Journal of pure and applied mathematics, 2018 - academia.edu
With the advancement of internet over years, the number of attacks over internet has also
increased. A powerful Intrusion Detection System (IDS) is required to ensure the security of a …
increased. A powerful Intrusion Detection System (IDS) is required to ensure the security of a …
A logitboost-based algorithm for detecting known and unknown web attacks
The rapid growth in the volume and importance of web communication throughout the
Internet has heightened the need for better security protection. Security experts, when …
Internet has heightened the need for better security protection. Security experts, when …
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 …
Comparative analysis of ML classifiers for network intrusion detection
With the rapid growth in network-based applications, new risks arise, and different security
mechanisms need additional attention to improve speed and accuracy. Although many new …
mechanisms need additional attention to improve speed and accuracy. Although many new …
Evaluating machine learning algorithms for detecting DDoS attacks
M Suresh, R Anitha - Advances in Network Security and Applications: 4th …, 2011 - Springer
Recently, as the serious damage caused by DDoS attacks increases, the rapid detection of
the attack and the proper response mechanisms are urgent. Signature based DDoS …
the attack and the proper response mechanisms are urgent. Signature based DDoS …