Darknet traffic classification using machine learning techniques

LA Iliadis, T Kaifas - … conference on modern circuits and systems …, 2021 - ieeexplore.ieee.org
A Darknet is an overlay network within the Internet, and packets' traffic originating from it is
usually termed as suspicious. In this paper common machine learning classification …

Assisted-fog-based framework for IoT-based healthcare data preservation

M Sarrab, F Alshohoumi - International Journal of Cloud Applications …, 2021 - igi-global.com
Healthcare has witnessed a technological advancement in improving the quality of care and
speeding the process of diagnosing patients due to its intervention with the internet of …

CPS attacks mitigation approaches on power electronic systems with security challenges for smart grid applications: A review

M Amin, FFM El-Sousy, GAA Aziz, K Gaber… - Ieee …, 2021 - ieeexplore.ieee.org
This paper presents an inclusive review of the cyber-physical (CP) attacks, vulnerabilities,
mitigation approaches on the power electronics and the security challenges for the smart …

Current research trends in IoT security: a systematic mapping study

JY Lee, J Lee - Mobile Information Systems, 2021 - Wiley Online Library
The smart mobile Internet‐of‐things (IoT) network lays the foundation of the fourth industrial
revolution, the era of hyperconnectivity, hyperintelligence, and hyperconvergence. As this …

[HTML][HTML] A machine learning SDN-enabled big data model for IoMT systems

K Haseeb, I Ahmad, II Awan, J Lloret, I Bosch - Electronics, 2021 - mdpi.com
In recent times, health applications have been gaining rapid popularity in smart cities using
the Internet of Medical Things (IoMT). Many real-time solutions are giving benefits to both …

Deep transfer learning-based network traffic classification for scarce dataset in 5G IoT systems

J Guan, J Cai, H Bai, I You - … Journal of Machine Learning and Cybernetics, 2021 - Springer
Abstract Internet of Things (IoT) can provide the interconnection and data sharing among
devices, vehicles, buildings via various sensors with the development of 5G, and it has been …

[PDF][PDF] Attack and anomaly detection in IoT networks using supervised machine learning approaches.

H Tyagi, R Kumar - Revue d'Intelligence Artificielle, 2021 - researchgate.net
Accepted: 9 February 2021 IoT is characterized by communication between things (devices)
that constantly share data, analyze, and make decisions while connected to the internet …

[HTML][HTML] Privacy and security in cognitive cities: A systematic review

J Machin, E Batista, A Martínez-Ballesté, A Solanas - Applied Sciences, 2021 - mdpi.com
Featured Application This article recalls the concept of cognitive city and provides a timely
review of the state of the art in the field of information security and privacy for cognitive cities …

An adaptive deep-ensemble anomaly-based intrusion detection system for the internet of things

K Albulayhi, FT Sheldon - 2021 IEEE World AI IoT Congress …, 2021 - ieeexplore.ieee.org
Nowadays, IoT technology has become an essential part of many aspects of life and
business. Nevertheless, such widespread application has come at the cost of many security …

A smart grid incorporated with ML and IoT for a secure management system

SC Dharmadhikari, V Gampala, CM Rao… - Microprocessors and …, 2021 - Elsevier
The economy, national safety, and health care are tremendously dependent on the faithful
supply of power. The communication technology integration and sensors in power systems …