[HTML][HTML] Network traffic classification: Techniques, datasets, and challenges
In network traffic classification, it is important to understand the correlation between network
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …
A survey on encrypted network traffic analysis applications, techniques, and countermeasures
E Papadogiannaki, S Ioannidis - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The adoption of network traffic encryption is continually growing. Popular applications use
encryption protocols to secure communications and protect the privacy of users. In addition …
encryption protocols to secure communications and protect the privacy of users. In addition …
A novel deep learning method for detection and classification of plant diseases
The agricultural production rate plays a pivotal role in the economic development of a
country. However, plant diseases are the most significant impediment to the production and …
country. However, plant diseases are the most significant impediment to the production and …
MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion
Multi-focus image fusion is an enhancement method to generate full-clear images, which
can address the depth-of-field limitation in imaging of optical lenses. Most existing methods …
can address the depth-of-field limitation in imaging of optical lenses. Most existing methods …
XAI meets mobile traffic classification: Understanding and improving multimodal deep learning architectures
The increasing diffusion of mobile devices has dramatically changed the network traffic
landscape, with Traffic Classification (TC) surging into a fundamental role while facing new …
landscape, with Traffic Classification (TC) surging into a fundamental role while facing new …
An efficient deep learning approach to automatic glaucoma detection using optic disc and optic cup localization
Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and
caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening …
caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening …
DISTILLER: Encrypted traffic classification via multimodal multitask deep learning
Traffic classification, ie the inference of applications and/or services from their network traffic,
represents the workhorse for service management and the enabler for valuable profiling …
represents the workhorse for service management and the enabler for valuable profiling …
Utilising deep learning techniques for effective zero-day attack detection
Machine Learning (ML) and Deep Learning (DL) have been used for building Intrusion
Detection Systems (IDS). The increase in both the number and sheer variety of new cyber …
Detection Systems (IDS). The increase in both the number and sheer variety of new cyber …
Machine learning for encrypted malicious traffic detection: Approaches, datasets and comparative study
As people's demand for personal privacy and data security becomes a priority, encrypted
traffic has become mainstream in the cyber world. However, traffic encryption is also …
traffic has become mainstream in the cyber world. However, traffic encryption is also …
TSCRNN: A novel classification scheme of encrypted traffic based on flow spatiotemporal features for efficient management of IIoT
Abstract In the Industrial Internet of Things (IIoT) in the 5G era, the growth of smart devices
will generate a large amount of data traffic, bringing a huge challenge of network traffic …
will generate a large amount of data traffic, bringing a huge challenge of network traffic …