A machine learning based framework for IoT device identification and abnormal traffic detection
Network security is a key challenge for the deployment of Internet of Things (IoT). New
attacks have been developed to exploit the vulnerabilities of IoT devices. Moreover, IoT …
attacks have been developed to exploit the vulnerabilities of IoT devices. Moreover, IoT …
Energy consumption of on-device machine learning models for IoT intrusion detection
Abstract Recently, Smart Home Systems (SHSs) have gained enormous popularity with the
rapid development of the Internet of Things (IoT) technologies. Besides offering many …
rapid development of the Internet of Things (IoT) technologies. Besides offering many …
Self-configurable cyber-physical intrusion detection for smart homes using reinforcement learning
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 …
secure: devices change, new vulnerabilities are discovered and often remain unpatched …
Program analysis of commodity IoT applications for security and privacy: Challenges and opportunities
Recent advances in Internet of Things (IoT) have enabled myriad domains such as smart
homes, personal monitoring devices, and enhanced manufacturing. IoT is now pervasive …
homes, personal monitoring devices, and enhanced manufacturing. IoT is now pervasive …
HomeSnitch: Behavior transparency and control for smart home IoT devices
The widespread adoption of smart home IoT devices has led to a broad and heterogeneous
market with flawed security designs and privacy concerns. While the quality of IoT device …
market with flawed security designs and privacy concerns. While the quality of IoT device …
Recent advances in artificial intelligence for wireless internet of things and cyber–physical systems: A comprehensive survey
BA Salau, A Rawal, DB Rawat - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Advances in artificial intelligence (AI) and wireless technology are driving forward the large
deployment of interconnected smart technologies that constitute cyber–physical systems …
deployment of interconnected smart technologies that constitute cyber–physical systems …
A review on machine learning–based approaches for Internet traffic classification
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 …
approaches have been proposed to classify Internet traffic to manage both security and …
Survey on enterprise Internet-of-Things systems (E-IoT): A security perspective
As technology becomes more widely available, millions of users worldwide have installed
some form of smart device in their homes or workplaces. These devices are often off-the …
some form of smart device in their homes or workplaces. These devices are often off-the …
物联网安全研究综述: 威胁, 检测与防御
杨毅宇， 周威， 赵尚儒， 刘聪， 张宇辉， 王鹤… - 通信 …, 2021 - infocomm-journal.com
基于近5 年网安国际会议(ACM CCS, USENIX Security, NDSS, IEEE S&P)
中发表的物联网安全文献, 以及其他部分高水平研究工作, 从威胁, 检测, 防御的视角对物联网 …
中发表的物联网安全文献, 以及其他部分高水平研究工作, 从威胁, 检测, 防御的视角对物联网 …
Detecting unknown encrypted malicious traffic in real time via flow interaction graph analysis
In this paper, we propose HyperVision, a realtime unsupervised machine learning (ML)
based malicious traffic detection system. Particularly, HyperVision is able to detect unknown …
based malicious traffic detection system. Particularly, HyperVision is able to detect unknown …