2021
DOI: 10.1007/978-3-030-91421-9_5
|View full text |Cite
|
Sign up to set email alerts
|

Anomaly Detection in Cellular IoT with Machine Learning

Abstract: The number of Internet of Things (IoT) devices used in eldercare are increasing day by day and bringing big security challenges especially for health care organizations, IoT service providers and most seriously for the elderly users. Attackers launch many attacks using compromised IoT devices such as Distributed Denial of Services (DDoS), among others. To detect and prevent these types of attacks on IoT devices connected to the cellular network, it is essential to have a proper overview of the existing threats… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
references
References 15 publications
0
0
0
Order By: Relevance