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[HTML][HTML] Machine learning and deep learning methods for intrusion detection systems: A survey
H Liu, B Lang - applied sciences, 2019 - mdpi.com
Networks play important roles in modern life, and cyber security has become a vital research
area. An intrusion detection system (IDS) which is an important cyber security technique …
area. An intrusion detection system (IDS) which is an important cyber security technique …
[HTML][HTML] A survey of CNN-based network intrusion detection
Over the past few years, Internet applications have become more advanced and widely
used. This has increased the need for Internet networks to be secured. Intrusion detection …
used. This has increased the need for Internet networks to be secured. Intrusion detection …
[HTML][HTML] A hybrid intrusion detection model using ega-pso and improved random forest method
Due to the rapid growth in IT technology, digital data have increased availability, creating
novel security threats that need immediate attention. An intrusion detection system (IDS) is …
novel security threats that need immediate attention. An intrusion detection system (IDS) is …
A hybrid intrusion detection system based on sparse autoencoder and deep neural network
KN Rao, KV Rao, PR PVGD - Computer Communications, 2021 - Elsevier
A large number of attacks are launched daily in the era of the internet and with a large
number of users. Nowadays, effective detection of numerous attacks using the Intrusion …
number of users. Nowadays, effective detection of numerous attacks using the Intrusion …
A comprehensive survey of databases and deep learning methods for cybersecurity and intrusion detection systems
This survey presents a comprehensive overview of machine learning methods for
cybersecurity intrusion detection systems, with a specific focus on recent approaches based …
cybersecurity intrusion detection systems, with a specific focus on recent approaches based …
A deep learning approach for effective intrusion detection in wireless networks using CNN
Security is playing a major role in this Internet world due to the rapid growth of Internet users.
The various intrusion detection systems were developed by many researchers in the past to …
The various intrusion detection systems were developed by many researchers in the past to …
[HTML][HTML] Advancing network security with AI: SVM-based deep learning for intrusion detection
With the rapid growth of social media networks and internet accessibility, most businesses
are becoming vulnerable to a wide range of threats and attacks. Thus, intrusion detection …
are becoming vulnerable to a wide range of threats and attacks. Thus, intrusion detection …
An intrusion detection system using optimized deep neural network architecture
Internet usage became increasingly ubiquitous. The concern regarding security and privacy
has become essential for Internet users. As the usage of the Internet increases the number …
has become essential for Internet users. As the usage of the Internet increases the number …
Effective network intrusion detection by addressing class imbalance with deep neural networks multimedia tools and applications
M Rani, Gagandeep - Multimedia Tools and Applications, 2022 - Springer
Abstract The Intrusion Detection System plays a significant role in discovering malicious
activities and provides better network security solutions than other conventional defense …
activities and provides better network security solutions than other conventional defense …
Transferability of machine learning models learned from public intrusion detection datasets: the CICIDS2017 case study
Intrusion detection is a primary concern in any modern computer system due to the ever-
growing number of intrusions. Machine learning represents an effective solution to detect …
growing number of intrusions. Machine learning represents an effective solution to detect …