Senet-i: An approach for detecting network intrusions through serialized network traffic images
The exponential growth of the internet and inter-connectivity has resulted in an extensive
increase in network size and the corresponding data, which has led to numerous novel …
increase in network size and the corresponding data, which has led to numerous novel …
Dimensionality reduction for detection of anomalies in the iot traffic data
D Olszewski, M Iwanowski, W Graniszewski - Future Generation Computer …, 2024 - Elsevier
This paper concerns cybersecurity issues in one of the fastest growing fields of modern
computer systems the Internet-of-Things (IoT). In this field, intrusion detection plays a …
computer systems the Internet-of-Things (IoT). In this field, intrusion detection plays a …
Enhancing IoT Network Security: Unveiling the Power of Self-Supervised Learning against DDoS Attacks
The Internet of Things (IoT), projected to exceed 30 billion active device connections
globally by 2025, presents an expansive attack surface. The frequent collection and …
globally by 2025, presents an expansive attack surface. The frequent collection and …
CBS: A Deep Learning Approach for Encrypted Traffic Classification With Mixed Spatio-Temporal and Statistical Features
With the rapid advancement of the internet and online applications, traffic classification has
become an increasingly significant topic in computer networks. Managing network …
become an increasingly significant topic in computer networks. Managing network …
Tabular-to-Image Transformations for the Classification of Anonymous Network Traffic Using Deep Residual Networks
N Briner, D Cullen, J Halladay, D Miller… - IEEE …, 2023 - ieeexplore.ieee.org
With the meteoric rise in anonymous network traffic data, there is a considerable need for
effective automation in traffic identification tasks. Though many shallow and deep machine …
effective automation in traffic identification tasks. Though many shallow and deep machine …
Cybersecurity and data science
K Szczypiorski - Electronics, 2022 - mdpi.com
Towards the end of the Cold War in 1985, in reference to the theory of leadership for the first
time, in the book 'Leaders: The Strategies For Taking Charge'by Warren Bennis and Burt …
time, in the book 'Leaders: The Strategies For Taking Charge'by Warren Bennis and Burt …
CNNPRE: A CNN-Based Protocol Reverse Engineering Method
J Garshasbi, M Teimouri - IEEE Access, 2023 - ieeexplore.ieee.org
Given the growth in computer networks and Internet usage, the traditional network
environment has evolved into a more intricate system. Many applications utilize unknown …
environment has evolved into a more intricate system. Many applications utilize unknown …
Exploring the power of convolutional neural networks for encrypted industrial protocols recognition
E Holasova, P Blazek, R Fujdiak, J Masek… - … Energy, Grids and …, 2024 - Elsevier
The main objective of this paper is to classify unencrypted and encrypted industrial protocols
using deep learning, especially Convolutional Neural Networks. Protocol recognition is …
using deep learning, especially Convolutional Neural Networks. Protocol recognition is …
Sessionvideo: A novel approach for encrypted traffic classification via 3D-CNN model
H Wang, T Xu, J Yang, L Wu… - 2022 23rd Asia-Pacific …, 2022 - ieeexplore.ieee.org
Today encrypted traffic has been used widely on the internet, such as HTTPS and SSH.
Network traffic classification plays an important role in network resource management and …
Network traffic classification plays an important role in network resource management and …
Comparative Analysis of Classification Methods and Suitable Datasets for Protocol Recognition in Operational Technologies
E Holasova, R Fujdiak, J Misurec - Algorithms, 2024 - mdpi.com
The interconnection of Operational Technology (OT) and Information Technology (IT) has
created new opportunities for remote management, data storage in the cloud, real-time data …
created new opportunities for remote management, data storage in the cloud, real-time data …