A survey on data-driven network intrusion detection

D Chou, M Jiang - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Data-driven network intrusion detection (NID) has a tendency towards minority attack
classes compared to normal traffic. Many datasets are collected in simulated environments …

A systematic review on machine learning and deep learning models for electronic information security in mobile networks

C Gupta, I Johri, K Srinivasan, YC Hu, SM Qaisar… - Sensors, 2022 - mdpi.com
Today's advancements in wireless communication technologies have resulted in a
tremendous volume of data being generated. Most of our information is part of a widespread …

IoT equipped intelligent distributed framework for smart healthcare systems

S Rani, M Chauhan, A Kataria, A Khang - … the Integration of IoT, Cloud and …, 2023 - Springer
Now days, the fundamental aim of the healthcare sector is to incorporate different
technologies to observe and keep a track of the various clinical parameters of the patients in …

A hybrid framework for intrusion detection in healthcare systems using deep learning

M Akshay Kumaar, D Samiayya… - Frontiers in Public …, 2022 - frontiersin.org
The unbounded increase in network traffic and user data has made it difficult for network
intrusion detection systems to be abreast and perform well. Intrusion Systems are crucial in e …

Security threats and measures in the Internet of Things for smart city infrastructure: A state of art

R Sharma, R Arya - Transactions on Emerging …, 2023 - Wiley Online Library
Abstract The Internet of Things (IoT) is a network of physical objects or “things” implanted
with electronics, software, sensors, and connectivity to allow them to exchange data with …

Threats and corrective measures for IoT security with observance of cybercrime: A survey

S Rani, A Kataria, V Sharma, S Ghosh… - Wireless …, 2021 - Wiley Online Library
Internet of Things (IoT) is the utmost assuring framework to facilitate human life with quality
and comfort. IoT has contributed significantly to numerous application areas. The stormy …

A novel multi algorithm approach to identify network anomalies in the IoT using Fog computing and a model to distinguish between IoT and Non-IoT devices

RJ Alzahrani, A Alzahrani - Journal of Sensor and Actuator Networks, 2023 - mdpi.com
Botnet attacks, such as DDoS, are one of the most common types of attacks in IoT networks.
A botnet is a collection of cooperated computing machines or Internet of Things gadgets that …

Machine learning-based anomaly detection in NFV: A comprehensive survey

S Zehra, U Faseeha, HJ Syed, F Samad, AO Ibrahim… - Sensors, 2023 - mdpi.com
Network function virtualization (NFV) is a rapidly growing technology that enables the
virtualization of traditional network hardware components, offering benefits such as cost …

[PDF][PDF] Anomaly Detection for Internet of Things Cyberattacks.

M Alanazi, A Aljuhani - Computers, Materials & Continua, 2022 - researchgate.net
The Internet of Things (IoT) has been deployed in diverse critical sectors with the aim of
improving quality of service and facilitating human lives. The IoT revolution has redefined …

AI‐and IoT‐based hybrid model for air quality prediction in a smart city with network assistance

A Kataria, V Puri - IET Networks, 2022 - Wiley Online Library
Air pollution is one of the biggest concerns in the world but it has not been paid much
attention in developing countries. It is necessary to design models and methods to …