A comprehensive survey of recent internet measurement techniques for cyber security

MS Pour, C Nader, K Friday, E Bou-Harb - Computers & Security, 2023 - Elsevier
As the Internet has transformed into a critical infrastructure, society has become more
vulnerable to its security flaws. Despite substantial efforts to address many of these …

Security trends in Internet of Things: A survey

Rachit, S Bhatt, PR Ragiri - SN Applied Sciences, 2021 - Springer
Abstract The Internet of Things (IoT) is a network of embedded devices that are uniquely
identifiable and have embedded software required to communicate between the transient …

The Circle of life: A {large-scale} study of the {IoT} malware lifecycle

O Alrawi, C Lever, K Valakuzhy, K Snow… - 30th USENIX Security …, 2021 - usenix.org
Our current defenses against IoT malware may not be adequate to remediate an IoT
malware attack similar to the Mirai botnet. This work seeks to investigate this matter by …

[HTML][HTML] Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks

X Sáez-de-Cámara, JL Flores, C Arellano, A Urbieta… - Computers & …, 2023 - Elsevier
There is a growing trend of cyberattacks against Internet of Things (IoT) devices; moreover,
the sophistication and motivation of those attacks is increasing. The vast scale of IoT, diverse …

The tangled genealogy of IoT malware

E Cozzi, PA Vervier, M Dell'Amico, Y Shen… - Proceedings of the 36th …, 2020 - dl.acm.org
The recent emergence of consumer off-the-shelf embedded (IoT) devices and the rise of
large-scale IoT botnets has dramatically increased the volume and sophistication of Linux …

A multi-dimensional deep learning framework for iot malware classification and family attribution

M Dib, S Torabi, E Bou-Harb… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The emergence of Internet of Things malware, which leverages exploited IoT devices to
perform large-scale cyber attacks (eg, Mirai botnet), is considered as a major threat to the …

Effective multitask deep learning for iot malware detection and identification using behavioral traffic analysis

S Ali, O Abusabha, F Ali, M Imran… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Despite the benefits of the Internet of Things (IoT), the growing influx of IoT-specific malware
coordinating large-scale cyberattacks via infected IoT devices has created a substantial …

Comprehending the IoT cyber threat landscape: A data dimensionality reduction technique to infer and characterize Internet-scale IoT probing campaigns

MS Pour, E Bou-Harb, K Varma, N Neshenko… - Digital …, 2019 - Elsevier
The resource-constrained and heterogeneous nature of Internet-of-Things (IoT) devices
coupled with the placement of such devices in publicly accessible venues complicate efforts …

A survey on recent advanced research of CPS security

Z Wang, W Xie, B Wang, J Tao, E Wang - Applied Sciences, 2021 - mdpi.com
Cyber-physical systems (CPSs) are next-generation intelligent systems that integrate
computing, communication, and control. Malicious attacks on CPSs can lead to both …

Inferring and investigating IoT-generated scanning campaigns targeting a large network telescope

S Torabi, E Bou-Harb, C Assi… - … on Dependable and …, 2020 - ieeexplore.ieee.org
The analysis of recent large-scale cyber attacks, which leveraged insecure Internet of Things
(IoT) devices to perform malicious activities on the Internet, highlighted the rise of IoT …