802.11 wireless simulation and anomaly detection using HMM and UBM

Despite the growing popularity of 802.11 wireless networks, users often suffer from connectivity problems and performance issues due to unstable radio conditions and dynamic user behavior, among other reasons. Anomaly detection and distinction are in the thick of major challenges that network managers encounter. The difficulty of monitoring broad and complex Wireless Local Area Networks, that often requires heavy instrumentation of the user devices, makes anomaly detection analysis even harder. In this paper we exploit 802.11 access point usage data and propose an anomaly detection technique based on Hidden Markov Model (HMM) and Universal Background Model (UBM) on data that is inexpensive to obtain. We then generate a number of network anomalous scenarios in OMNeT++/INET network simulator and compare the detection outcomes with those in baseline approaches—RawData and Principal Component Analysis. The experimental results show the superiority of HMM and HMM-UBM models in detection precision and sensitivity.

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Characterizing User Behavior in a European Academic WiFi Network

International Journal of Handheld Computing Research ◽

10.4018/jhcr.2013040104 ◽

2013 ◽

Vol 4 (2) ◽

pp. 55-68 ◽

Cited By ~ 2

Author(s):

Enrica Zola ◽

Francisco Barcelo-Arroyo

Keyword(s):

Wireless Network ◽

User Behavior ◽

Local Area Networks ◽

Local Area ◽

Wireless Local Area Networks ◽

Association Patterns ◽

Main Campus ◽

Access Points ◽

Technical University ◽

And Performance

Wireless local area networks (WLANs) are commonplace in many universities. Understanding the trends in the usage of these networks is becoming more important. Interesting results can be extracted about association patterns by analyzing WLAN traces from real scenarios. In this work, the library in the main campus of the Technical University of Catalonia (UPC) in Barcelona has been studied. Daily and weekly patterns of the WLAN connections are shown. The population accessing the network is mostly composed of infrequent users: half of the population accesses the WLAN once during each month. Many users associate to only one of the twelve possible access points, which means that, despite the widespread use of lightweight devices, many users are static. The results of this analysis provide general tools for characterizing campus-wide WLAN and a better understanding of usage and performance issues in a mature wireless network.

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Link-Level Simulator for Wireless local Area Network

International Journal of Emerging Research in Management and Technology ◽

10.23956/ijermt.v6i7.232 ◽

2018 ◽

Vol 6 (7) ◽

pp. 314

Author(s):

Chaithra. H. U ◽

Vani H.R

Keyword(s):

Wireless Local Area Network ◽

Local Area Network ◽

Local Area Networks ◽

Local Area ◽

Long Term Evolution ◽

Wireless Local Area Networks ◽

Area Network ◽

Network Simulator ◽

Term Evolution

Now a days in Wireless Local Area Networks (WLANs) used in different fields because its well-suited simulator and higher flexibility. The concept of WLAN with advanced 5th Generation technologies, related to a Internet-of-Thing (IOT). In this project, representing the Network Simulator (NS-2) used linked-level simulators for Wireless Local Area Networks and still utilized IEEE 802.11g/n/ac with advanced IEEE 802.11ah/af technology. Realization of the whole Wireless Local Area Networking linked-level simulators inspired by the recognized Vienna Long Term Evolution- simulators. As a outcome, this is achieved to link together that simulator to detailed performances of Wireless Local Area Networking with Long Term Evolution, operated in the similar RF bands. From the advanced 5th Generation support cellular networking, such explore is main because different coexistences scenario can arise linking wireless communicating system to the ISM and UHF bands.

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