Experimental Study to Analyze the Security Performance in Wireless LANs

Jindal, Poonam; Singh, Brahmjit

doi:10.1007/s11277-015-2504-1

Cited by 5 publications

(3 citation statements)

References 15 publications

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“…The impact of the transmission power on the performance of a secure IEEE 802.11n wireless local area network was reported in [31,32]. The performance impact of security protocols in a roaming wireless network scenario is reported by us in [33].…”

Section: Related Workmentioning

confidence: 99%

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Security-Performance Tradeoffs in a Class of Wireless Network Scenarios

Jindal

Singh

2016

J Netw Syst Manage

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There has been an extensive and widespread deployment of wireless local area networks (WLANs) for information access. The transmission, being of a broadcast nature, is vulnerable to security threats and hence, the aspect of security provisioning in these networks has assumed an important dimension. The security of the transmitted data over a wireless channel aims at protecting the data from unauthorized access. The objective is achieved by providing advanced security mechanisms. Implementing strong security mechanisms however, affects the throughput performance and increases the complexity of the communication system. In this paper, we investigate the security performance of a WLAN based on IEEE 802.11b/g/n standards on an experimental testbed in congested and uncongested networks in a single and multi-client environment. Experimental results are obtained for a layered security model encompassing nine security protocols in terms of throughput, response time, and encryption overhead. The performance impact of transmission control protocol and user datagram protocol traffic streams on secure wireless networks has also been studied. Through numerical results obtained from the testbed, we have presented quantitative and realistic findings for both security mechanisms as well as network performance. The tradeoff between the strength of the security protocol and the associated performance is analyzed through computer simulation results. The present real time analysis enables the network designers to make intelligent choices about the implementation of security features and the perceived network performance for a given application scenario.

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Section: Related Workmentioning

confidence: 99%

“…Also, decreases in TP are more in congested networks as compared to uncongested networks where response times increase with increases in security strength. Experimental analysis for analyzing the impact of security protocols in roaming networks were presented in [33].…”

Section: Performance Analysis In Roaming Scenariomentioning

confidence: 99%

Security-Performance Tradeoffs in a Class of Wireless Network Scenarios

Jindal

Singh

2016

J Netw Syst Manage

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“…Poonam Jindal et al on works[9] presented their experiments result that have carried out comprehensively about the performance evaluation of network security in the 802.11 WLAN protocol. Ye Wen on works[16] describe the evaluation of wireless channel utilization at Guangdong Mobile in Guangdong province.Gigih, et al,[17] on their research already investigate the performance analysis of Aruba TM Wireless Local Area Network at University of Lampung, on this paper explain that IT units had developed wireless infrastructure using Aruba Technology since March 2014, they introduce a wireless performance analysis based on airwave application, with 1 year of data report they gathered network activity on each Aruba AP such as usage average, clients average.…”

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confidence: 99%

Internet Traffic Measurement: Trends and Impact to Campus Network

Nama

Komarudin

Mardiana

et al. 2016

ins

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Abstract— University of Lampung (Unila) is an Institution of Higher Education located in Bandar Lampung. Since 2016, Unila has deployed Internet Access Management (IAM) to guarantee the healthiness of the campus network, as well as to enhance the effectiveness of the bandwidth usage. This study focused on internet traffic measurement, conducted in Unila’s campus network during February 1 until February 29, 2016. Overall, this study shows user behavior on their application. The trend data of monthly most popular URL Categories accessed by users was; 1st Computers & Technology with 30032328 hits or 39.1%, the 2nd was Search Engines & Portals with 14214611 hits or 18.5%. There were around 30-40 % of internet traffic was use for Streaming Media activity, it proves that the existence of Streaming Media Activity in Campus Network which contribute to network congestion. During a month doing internet measurement, we identify the most active device/user that are the 1st was Aruba Wireless Controller with total traffic flow 40.45%, the 2nd was CCR-1 with 26.2%, the 3rd was CCR-2 with 16.9%, and the 4th was Digital Library Server with total flow was 0.6%. Monthly uplink traffic total flow was 5889.92 GB while downlink traffic total flow was 61041.35 GB. We made a recommendation to Unila management for implementing traffic provisioning especially on streaming media activity specific on access to Google Global Cache (GGC), to overcome network congestion during peak time period on working hours. Keywords—internet access management, internet traffic measurement; traffic trend

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Optimization of the Security-Performance Tradeoff in RC4 Encryption Algorithm

Jindal

Singh

2016

Wireless Pers Commun

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Experimental Study to Analyze the Security Performance in Wireless LANs

Cited by 5 publications

References 15 publications

Security-Performance Tradeoffs in a Class of Wireless Network Scenarios

Security-Performance Tradeoffs in a Class of Wireless Network Scenarios

Internet Traffic Measurement: Trends and Impact to Campus Network

Optimization of the Security-Performance Tradeoff in RC4 Encryption Algorithm

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