Data mining techniques in intrusion detection systems: A systematic literature review

F Salo, M Injadat, AB Nassif, A Shami, A Essex - IEEE Access, 2018 - ieeexplore.ieee.org
The continued ability to detect malicious network intrusions has become an exercise in
scalability, in which data mining techniques are playing an increasingly important role. We …

[HTML][HTML] Entropy-based application layer DDoS attack detection using artificial neural networks

K Johnson Singh, K Thongam, T De - Entropy, 2016 - mdpi.com
Distributed denial-of-service (DDoS) attack is one of the major threats to the web server. The
rapid increase of DDoS attacks on the Internet has clearly pointed out the limitations in …

A deep learning approach with Bayesian optimization and ensemble classifiers for detecting denial of service attacks

Y Gormez, Z Aydin, R Karademir… - International Journal of …, 2020 - Wiley Online Library
Detecting malicious behavior is important for preventing security threats in a computer
network. Denial of Service (DoS) is among the popular cyber attacks targeted at web sites of …

[HTML][HTML] Efficient classification of DDoS attacks using an ensemble feature selection algorithm

KJ Singh, T De - Journal of Intelligent Systems, 2019 - degruyter.com
In the current cyber world, one of the most severe cyber threats are distributed denial of
service (DDoS) attacks, which make websites and other online resources unavailable to …

Application and Uses of Big Data Predictive Analysis in Public Sectors: A Systematic Review

A Puri - 2018 International Conference on Computational …, 2018 - ieeexplore.ieee.org
The large volume of data whether arranged or unarranged is termed Big Data. Over the last
decade, predictive analysis on big data has seen a high development and will absolutely …

[PDF][PDF] Big Data Analytic Using Machine Learning Algorithms For Intrusion Detection System: A Survey

AA Hagar, DG Chaudhary… - International Journal of …, 2020 - academia.edu
Through the increasing amounts of data day by day, big data analytics has appeared as an
important trend for many organizations. These collected data can have important information …

Fane: a firewall appliance for the smart home

C Haar, E Buchmann - 2019 Federated Conference on …, 2019 - ieeexplore.ieee.org
With the advent of the Internet of Things (IoT), many domestic devices have been equipped
with information technology. By connecting IoT devices with each other and with the Internet …

[PDF][PDF] Intrusion detection analytics: a comprehensive survey

N Sameera, M Shashi - Int J. Adv. Sci. Res. Manag.(IJASRM), 2019 - ijasrm.com
Cyber threat is growing on par with the advancements in the field of computer technology
and information age which makes Intrusion detection Systems (IDSs) to get a lot of attention …

A distributed platform for intrusion detection system using data stream mining in a big data environment

FC Schuartz, M Fonseca, A Munaretto - Annals of Telecommunications, 2024 - Springer
With the growth of computer networks worldwide, there has been a greater need to protect
local networks from malicious data that travel over the network. The increase in volume …

Prediction of passenger flow for north central railway region through ANN

AP Singh, A Tripathi, RK Dwivedi… - IOP Conference Series …, 2021 - iopscience.iop.org
A new method of prediction method is described in this paper. The passenger rate for the
north central railway (NCR) region is estimated by using artificial neural networks (ANN). An …