Data-driven curation, learning and analysis for inferring evolving iot botnets in the wild
The insecurity of the Internet-of-Things (IoT) paradigm continues to wreak havoc in
consumer and critical infrastructure realms. Several challenges impede addressing IoT …
consumer and critical infrastructure realms. Several challenges impede addressing IoT …
On data-driven curation, learning, and analysis for inferring evolving internet-of-Things (IoT) botnets in the wild
The insecurity of the Internet-of-Things (IoT) paradigm continues to wreak havoc in
consumer and critical infrastructures. The highly heterogeneous nature of IoT devices and …
consumer and critical infrastructures. The highly heterogeneous nature of IoT devices and …
Inferring, characterizing, and investigating internet-scale malicious iot device activities: A network telescope perspective
Recent attacks have highlighted the insecurity of the Internet of Things (IoT) paradigm by
demonstrating the impacts of leveraging Internet-scale compromised IoT devices. In this …
demonstrating the impacts of leveraging Internet-scale compromised IoT devices. In this …
Internet-scale insecurity of consumer internet of things: An empirical measurements perspective
A Mangino, MS Pour, E Bou-Harb - ACM Transactions on Management …, 2020 - dl.acm.org
The number of Internet-of-Things (IoT) devices actively communicating across the Internet is
continually increasing, as these devices are deployed across a variety of sectors, constantly …
continually increasing, as these devices are deployed across a variety of sectors, constantly …
Internet of malicious things: Correlating active and passive measurements for inferring and characterizing internet-scale unsolicited iot devices
Advancements in computing, communication, and sensing technologies are making it
possible to embed, control, and gather vital information from tiny devices that are being …
possible to embed, control, and gather vital information from tiny devices that are being …
N-baiot—network-based detection of iot botnet attacks using deep autoencoders
The proliferation of IoT devices that can be more easily compromised than desktop
computers has led to an increase in IoT-based botnet attacks. To mitigate this threat, there is …
computers has led to an increase in IoT-based botnet attacks. To mitigate this threat, there is …
Identification of botnet activity in IoT network traffic using machine learning
M Hegde, G Kepnang, M Al Mazroei… - … on intelligent data …, 2020 - ieeexplore.ieee.org
Today our world benefits from Internet of Things (IoT) technology; however, new security
problems arise when these IoT devices are introduced into our homes. Because many of …
problems arise when these IoT devices are introduced into our homes. Because many of …
A near real-time scheme for collecting and analyzing iot malware artifacts at scale
The chronic proliferation of Internet of Things (IoT) botnet malware activities coupled with an
unprecedented rise in security vulnerabilities convene a new world of opportunities for …
unprecedented rise in security vulnerabilities convene a new world of opportunities for …
A review and analysis of the bot-iot dataset
JM Peterson, JL Leevy… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Machine learning is rapidly changing the cybersecu-rity landscape. The use of predictive
models to detect malicious activity and identify inscrutable attack patterns is providing levels …
models to detect malicious activity and identify inscrutable attack patterns is providing levels …
Deep nonlinear regression least squares polynomial fit to detect malicious attack on IoT devices
E Arul - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
The explosion of IoT gadgets which be able to more effortlessly conceded than PCs has
prompted an expansion in the existence of IoT-dependent botnet attacks. So as to alleviate …
prompted an expansion in the existence of IoT-dependent botnet attacks. So as to alleviate …