Title
Anomaly Based Intrusion Detection for IoT with Machine Learning
Abstract
The Internet of Things (IoT) is the network that connects smart devices over the Internet. These devices are increasingly found in every facet of life, providing distributed data computing power and improving the accessibility of everyday routines in many households. However, these connected devices expand and so does the risk that they become valuable targets for malicious threats. This is becaus...
Year
DOI
Venue
2020
10.1109/AIPR50011.2020.9425199
2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
Keywords
DocType
ISSN
Training,Firewalls (computing),Intrusion detection,Pattern recognition,Encryption,Internet of Things,Security
Conference
1550-5219
ISBN
Citations 
PageRank 
978-1-7281-8243-8
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Addison Shaver100.34
Zhipeng Liu211.36
Niraj Thapa300.34
Kaushik Roy400.68
Balakrishna Gokaraju500.68
Xiaohon Yuan600.34