Classification and characterization of encoded traffic in SCADA network using hybrid deep learning scheme
LAC Ahakonye, GC Amaizu… - Journal of …, 2024 - ieeexplore.ieee.org
The domain name system (DNS) has evolved into an essential component of network
communications, as well as a critical component of critical industrial systems (CIS) and …
communications, as well as a critical component of critical industrial systems (CIS) and …
[HTML][HTML] Intelligent model for the detection and classification of encrypted network traffic in cloud infrastructure
This article explores detecting and categorizing network traffic data using machine-learning
(ML) methods, specifically focusing on the Domain Name Server (DNS) protocol. DNS has …
(ML) methods, specifically focusing on the Domain Name Server (DNS) protocol. DNS has …
[PDF][PDF] A novel deep-learning based approach to DNS over HTTPS network traffic detection
J Fesl, M Konopa, J Jelínek - International Journal of Electrical and …, 2023 - academia.edu
Domain name system (DNS) over hypertext transfer protocol secure (HTTPS)(DoH) is
currently a new standard for secure communication between DNS servers and end-users …
currently a new standard for secure communication between DNS servers and end-users …
Feature engineering and machine learning model comparison for malicious activity detection in the dns-over-https protocol
M Behnke, N Briner, D Cullen, K Schwerdtfeger… - IEEE …, 2021 - ieeexplore.ieee.org
The Domain Name System (DNS) is among the most ubiquitous and important protocols for
network communication; however, security concerns regarding DNS have been on the rise …
network communication; however, security concerns regarding DNS have been on the rise …
[HTML][HTML] A lightweight double-stage scheme to identify malicious DNS over HTTPS traffic using a hybrid learning approach
The Domain Name System (DNS) protocol essentially translates domain names to IP
addresses, enabling browsers to load and utilize Internet resources. Despite its major role …
addresses, enabling browsers to load and utilize Internet resources. Despite its major role …
[HTML][HTML] Detection of DoH Traffic Tunnels Using Deep Learning for Encrypted Traffic Classification
AR Alzighaibi - Computers, 2023 - mdpi.com
Currently, the primary concerns on the Internet are security and privacy, particularly in
encrypted communications to prevent snooping and modification of Domain Name System …
encrypted communications to prevent snooping and modification of Domain Name System …
DDoS attack detection and classification using hybrid model for multicontroller SDN
TG Gebremeskel, KA Gemeda… - Wireless …, 2023 - Wiley Online Library
A software‐defined network (SDN) brings a lot of advantages to the world of networking
through flexibility and centralized management; however, this centralized control makes it …
through flexibility and centralized management; however, this centralized control makes it …
Detection, characterization, and profiling DoH Malicious traffic using statistical pattern recognition
The domain name system (DNS) protocol has been used for over three decades. It plays a
vital role in the functioning of the Internet by facilitating the conversion of domain names into …
vital role in the functioning of the Internet by facilitating the conversion of domain names into …
[HTML][HTML] A multi-model proposal for classification and detection of DDoS attacks on SCADA systems
Industrial automation and control systems have gained increasing attention in the literature
recently. Their integration with various systems has triggered considerable developments in …
recently. Their integration with various systems has triggered considerable developments in …
Building DDoS Resilient SDNs Using Hybridised Deep Learning Methods
The explosion in the number of IP-based systems and IoT devices has created significant
security and traffic engineering challenges on the Internet. The current Internet architecture …
security and traffic engineering challenges on the Internet. The current Internet architecture …