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Flowprint: Semi-supervised mobile-app fingerprinting on encrypted network traffic
Mobile-application fingerprinting of network traffic is valuable for many security solutions as
it provides insights into the apps active on a network. Unfortunately, existing techniques …
it provides insights into the apps active on a network. Unfortunately, existing techniques …
Active learning for network traffic classification: A technical study
Network Traffic Classification (NTC) has become an important feature in various network
management operations, eg, Quality of Service (QoS) provisioning and security services …
management operations, eg, Quality of Service (QoS) provisioning and security services …
CRUSOE: A toolset for cyber situational awareness and decision support in incident handling
The growing size and complexity of today's computer network make it hard to achieve and
maintain so-called cyber situational awareness, ie, the ability to perceive and comprehend …
maintain so-called cyber situational awareness, ie, the ability to perceive and comprehend …
[HTML][HTML] Passive operating system fingerprinting revisited: Evaluation and current challenges
Fingerprinting a host's operating system is a very common yet precarious task in network,
asset, and vulnerability management. Estimating the operating system via network traffic …
asset, and vulnerability management. Estimating the operating system via network traffic …
Iot or not: Identifying iot devices in a short time scale
A Bremler-Barr, H Levy, Z Yakhini - NOMS 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
In recent years the number of IoT devices in home networks has increased dramatically.
Whenever a new device connects to the network, it must be quickly managed and secured …
Whenever a new device connects to the network, it must be quickly managed and secured …
A machine-learning-based tool for passive os fingerprinting with tcp variant as a novel feature
With the emergence of Internet of Things (IoT), securing and managing large, complex
enterprise network infrastructure requires capturing and analyzing network traffic traces in …
enterprise network infrastructure requires capturing and analyzing network traffic traces in …
CRUSOE: Data model for cyber situational awareness
Attaining and kee** cyber situational awareness is crucial for the proper incident
response, especially in critical infrastructures. Incident handlers need to process …
response, especially in critical infrastructures. Incident handlers need to process …
Study of methods for endpoint aware inspection in a next generation firewall
Given the global increase in remote work with the COVID-19 pandemic and
deperimeterization due to cloud deployment of next generation firewalls, the concept of a …
deperimeterization due to cloud deployment of next generation firewalls, the concept of a …
Using TLS fingerprints for OS identification in encrypted traffic
Asset identification plays a vital role in situational awareness building. However, the current
trends in communication encryption and the emerging new protocols turn the well-known …
trends in communication encryption and the emerging new protocols turn the well-known …
Detecting coordinated internet-wide scanning by TCP/IP header fingerprint
Adversaries perform port scanning to discover accessible and vulnerable hosts as a prelude
to cyber havoc. A darknet is a cyberattack observation network to capture these scanning …
to cyber havoc. A darknet is a cyberattack observation network to capture these scanning …