A Review on Challenges and Future Research Directions for Machine Learning-Based Intrusion Detection System
Research in the field of Intrusion Detection is focused on developing an efficient strategy that
can identify network attacks. One of the important strategies is to supervise the network …
can identify network attacks. One of the important strategies is to supervise the network …
Deep packgen: A deep reinforcement learning framework for adversarial network packet generation
S Hore, J Ghadermazi, D Paudel, A Shah… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent advancements in artificial intelligence (AI) and machine learning (ML) algorithms,
coupled with the availability of faster computing infrastructure, have enhanced the security …
coupled with the availability of faster computing infrastructure, have enhanced the security …
CPS-GUARD: Intrusion detection for cyber-physical systems and IoT devices using outlier-aware deep autoencoders
Abstract Detecting attacks to Cyber-Physical Systems (CPSs) is of utmost importance, due to
their increasingly frequent use in many critical assets. Intrusion detection in CPSs and other …
their increasingly frequent use in many critical assets. Intrusion detection in CPSs and other …
BoAu: Malicious traffic detection with noise labels based on boundary augmentation
Q Yuan, C Liu, W Yu, Y Zhu, G Xiong, Y Wang… - Computers & Security, 2023 - Elsevier
The effectiveness of deep-learning-based malicious traffic detection systems relies on high-
quality labeled traffic datasets. However, malicious traffic labeling approaches can easily …
quality labeled traffic datasets. However, malicious traffic labeling approaches can easily …
Distributed Attacks Classification Based on Radical Basis Function and Particle Swarm Optimization In Hypervisor Layer
AK Shukla, A Sharma - 2023 6th International Conference on …, 2023 - ieeexplore.ieee.org
The term 'cloud computing'refers to a concept for on-demand provisioning of computer
resources (including hardware and software) through the Internet. Cloud computing's …
resources (including hardware and software) through the Internet. Cloud computing's …
Towards Real-time Network Intrusion Detection with Image-based Sequential Packets Representation
J Ghadermazi, A Shah, N Bastian - 2023 - techrxiv.org
This study proposes a novel artificial intelligence-enabled methodological framework for
packet-based network intrusion detection system that effectively analyzes header and …
packet-based network intrusion detection system that effectively analyzes header and …
A Transfer Learning based Intrusion detection system for Internet of Things
M Vishwakarma, N Kesswani - 2023 - researchsquare.com
There will be billions of gadgets emerging in the future. A few years ago, experts predicted
that the Internet of Things (IoT) might soon be renamed the Internet of Everything (IoE) due …
that the Internet of Things (IoT) might soon be renamed the Internet of Everything (IoE) due …