[HTML][HTML] A review on machine learning–based approaches for Internet traffic classification

O Salman, IH Elhajj, A Kayssi, A Chehab - Annals of Telecommunications, 2020 - Springer
Traffic classification acquired the interest of the Internet community early on. Different
approaches have been proposed to classify Internet traffic to manage both security and …

Flowprint: Semi-supervised mobile-app fingerprinting on encrypted network traffic

T Van Ede, R Bortolameotti, A Continella… - Network and distributed …, 2020 - par.nsf.gov
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 …

Packet-level signatures for smart home devices

R Trimananda, J Varmarken, A Markopoulou… - Network and …, 2020 - par.nsf.gov
mart home devices are vulnerable to passive inference attacks based on network traffic,
even in the presence of encryption. In this paper, we present PINGPONG, a tool that can …

Self-configurable cyber-physical intrusion detection for smart homes using reinforcement learning

R Heartfield, G Loukas, A Bezemskij… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The modern Internet of Things (IoT)-based smart home is a challenging environment to
secure: devices change, new vulnerabilities are discovered and often remain unpatched …

Scalable analysis of interaction threats in iot systems

M Alhanahnah, C Stevens, H Bagheri - Proceedings of the 29th ACM …, 2020 - dl.acm.org
The ubiquity of Internet of Things (IoT) and our growing reliance on IoT apps are leaving us
more vulnerable to safety and security threats than ever before. Many of these threats are …

Iotargos: A multi-layer security monitoring system for internet-of-things in smart homes

Y Wan, K Xu, G Xue, F Wang - IEEE INFOCOM 2020-IEEE …, 2020 - ieeexplore.ieee.org
The wide deployment of IoT systems in smart homes has changed the landscape of
networked systems, Internet traffic, and data communications in residential broadband …

Kratos: Multi-user multi-device-aware access control system for the smart home

AK Sikder, L Babun, ZB Celik, A Acar, H Aksu… - Proceedings of the 13th …, 2020 - dl.acm.org
In a smart home system, multiple users have access to multiple devices, typically through a
dedicated app installed on a mobile device. Traditional access control mechanisms consider …

Managing IoT cyber-security using programmable telemetry and machine learning

A Sivanathan, HH Gharakheili… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Cyber-security risks for Internet of Things (IoT) devices sourced from a diversity of vendors
and deployed in large numbers, are growing rapidly. Therefore, management of these …

Your smart home can't keep a secret: Towards automated fingerprinting of iot traffic

S Dong, Z Li, D Tang, J Chen, M Sun… - Proceedings of the 15th …, 2020 - dl.acm.org
The IoT (Internet of Things) technology has been widely adopted in recent years and has
profoundly changed the people's daily lives. However, in the meantime, such a fast-growing …

A practical model based on anomaly detection for protecting medical IoT control services against external attacks

L Fang, Y Li, Z Liu, C Yin, M Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The application of the Internet of Things (IoT) in medical field has brought unprecedented
convenience to human beings. However, attackers can use device configuration …