Paper Info
Title
Identification Of Unknown Operating System Type Of Internet Of Things Terminal Device Based On Ripper
Abstract
Due to the vast popularity of sensors, cloud computing, mobile computing, and intelligent devices, the Internet of Things has seen tremendous growth in recent years. Operating system type recognition is the core technology of network security assessment. Due to inherit security problems of Internet of Things such as the situation of risk and threat of information, the operating system recognition seeks research attention for Internet of Things network security. In view of the current identification method of active operating system, it is prone to be detected by intrusion detection system. The operating system identification technology based on transmission control protocol/Internet protocol fingerprint library is more complicated than to distinguish the operating system types of unknown fingerprints. In this work, a passive operating system identification method based on RIPPER model is proposed. Also, it is compared with the existing support vector machine and C45 decision tree classification algorithms. Experiments reveal that RIPPER-based algorithm has better recognition accuracy and recognition efficiency.
Year
DOI
Venue
2018
10.1177/1550147718806707
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Keywords
Field
DocType
RIPPER algorithm, operating system identification, machine learning, terminal device, unknown fingerprint
Mobile computing,Computer science,Internet of Things,Popularity,Computer network,Terminal device,Operating system,Cloud computing
Journal
Volume
Issue
ISSN
14
10
1550-1477
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Shichang Xuan174.14
Dapeng Man22910.54
Yang Wu36922.62
Wei Wang421.42
Jiashuai Zhao500.34
Yu Miao61813.21