Big privacy: Challenges and opportunities of privacy study in the age of big data
S Yu - IEEE access, 2016 - ieeexplore.ieee.org
One of the biggest concerns of big data is privacy. However, the study on big data privacy is
still at a very early stage. We believe the forthcoming solutions and theories of big data …
still at a very early stage. We believe the forthcoming solutions and theories of big data …
A survey of techniques for mobile service encrypted traffic classification using deep learning
The rapid adoption of mobile devices has dramatically changed the access to various
networking services and led to the explosion of mobile service traffic. Mobile service traffic …
networking services and led to the explosion of mobile service traffic. Mobile service traffic …
Peek-a-boo: I see your smart home activities, even encrypted!
A myriad of IoT devices such as bulbs, switches, speakers in a smart home environment
allow users to easily control the physical world around them and facilitate their living styles …
allow users to easily control the physical world around them and facilitate their living styles …
Machine-learning-based darknet traffic detection system for IoT applications
The massive modern technical revolution in electronics, cognitive computing, and sensing
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
A survey of methods for encrypted traffic classification and analysis
With the widespread use of encrypted data transport, network traffic encryption is becoming
a standard nowadays. This presents a challenge for traffic measurement, especially for …
a standard nowadays. This presents a challenge for traffic measurement, especially for …
Didarknet: A contemporary approach to detect and characterize the darknet traffic using deep image learning
Darknet traffic classification is significantly important to categorize real-time applications.
Although there are notable efforts to classify darknet traffic which rely heavily on existing …
Although there are notable efforts to classify darknet traffic which rely heavily on existing …
Large-scale mobile app identification using deep learning
Many network services and tools (eg network monitors, malware-detection systems, routing
and billing policy enforcement modules in ISPs) depend on identifying the type of traffic that …
and billing policy enforcement modules in ISPs) depend on identifying the type of traffic that …
Machine learning based encrypted traffic classification: Identifying ssh and skype
R Alshammari… - 2009 IEEE symposium on …, 2009 - ieeexplore.ieee.org
The objective of this work is to assess the robustness of machine learning based traffic
classification for classifying encrypted traffic where SSH and Skype are taken as good …
classification for classifying encrypted traffic where SSH and Skype are taken as good …
Multitask learning for network traffic classification
Traffic classification has various applications in today's Internet, from resource allocation,
billing and QoS purposes in ISPs to firewall and malware detection in clients. Classical …
billing and QoS purposes in ISPs to firewall and malware detection in clients. Classical …
Predicted packet padding for anonymous web browsing against traffic analysis attacks
Anonymous communication has become a hot research topic in order to meet the increasing
demand for web privacy protection. However, there are few such systems which can provide …
demand for web privacy protection. However, there are few such systems which can provide …