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When a RF beats a CNN and GRU, together—A comparison of deep learning and classical machine learning approaches for encrypted malware traffic classification
Internet traffic classification plays a crucial role in Quality of Experience (QoE), Quality of
Services (QoS), intrusion detection, and traffic-trend analyses. While there is no theoretical …
Services (QoS), intrusion detection, and traffic-trend analyses. While there is no theoretical …
TGPrint: Attack fingerprint classification on encrypted network traffic based graph convolution attention networks
Nowadays, most network traffic is encrypted, which protects user privacy but hides attack
traces, further hindering identifying attacks to inspect traffic packages. Machine Learning …
traces, further hindering identifying attacks to inspect traffic packages. Machine Learning …
Efficient Machine Learning-Based Security Monitoring and Cyberattack Classification of Encrypted Network Traffic in Industrial Control Systems
Security monitoring is a key aspect to detect cyberattacks against industrial control systems.
However, with the increasing use of encryption in industrial communication protocols …
However, with the increasing use of encryption in industrial communication protocols …
[PDF][PDF] CESSO-HCRNN: A Hybrid CRNN With Chaotic Enriched SSO-based Improved Information Gain to Detect Zero-Day Attacks.
DK Roy, R Patgiri - International Journal of Advanced …, 2023 - pdfs.semanticscholar.org
Hackers use the vulnerability before programmers have a chance to fix it, which is known as
a zero-day attack. Zero-day attackers have a variety of abilities, including the ability to alter …
a zero-day attack. Zero-day attackers have a variety of abilities, including the ability to alter …
The art of time-bending: Data augmentation and early prediction for efficient traffic classification
The accurate identification of internet traffic is crucial for network management. However, the
use of encryption techniques and constant changes in network protocols make it difficult to …
use of encryption techniques and constant changes in network protocols make it difficult to …
Hidden in time, revealed in frequency: Spectral features and multiresolution analysis for encrypted internet traffic classification
N Dillbary, R Yozevitch, A Dvir… - 2024 IEEE 21st …, 2024 - ieeexplore.ieee.org
In recent years, privacy and security concerns have led to the wide adoption of encrypted
protocols, making encrypted traffic a major portion of overall communications online. The …
protocols, making encrypted traffic a major portion of overall communications online. The …
Augmenting Cyber Defense Counter To Zero-Day Attacks Through Predictive Analysis-A Fusion Methodology Assimilating Game Theory and RESNet Inspired …
S Akshaya, P Ganapathi - International Journal of …, 2024 - search.proquest.com
Zero-day attacks pose a significant threat to software vendors, as they exploit previously
unknown vulnerabilities, making them insidious and challenging to defend against …
unknown vulnerabilities, making them insidious and challenging to defend against …
CBR--Boosting Adaptive Classification By Retrieval of Encrypted Network Traffic with Out-of-distribution
Encrypted network traffic Classification tackles the problem from different approaches and
with different goals. One of the common approaches is using Machine learning or Deep …
with different goals. One of the common approaches is using Machine learning or Deep …
Machine learning approaches for detecting zero day intrusion attacks
H Suresh, N Kumar, BM Hithendra - … 3rd-4th July, 2024 (Volume 1 …, 2025 - books.google.com
The volume of data managed via the worldwide web has substantially increased over time
as more individuals use technology. There is an issue with data encryption while …
as more individuals use technology. There is an issue with data encryption while …
Early Detection and Classification of Zero-Day Attacks in Network Traffic Using Convolutional Neural Network
Abstract In a Zero-Day cyberattack, attackers exploit a software vulnerability for which the
software vendor is unaware or has not released a patch. This can make it difficult for …
software vendor is unaware or has not released a patch. This can make it difficult for …