scholarly journals Characterizing user behavior and network performance in a public wireless LAN

2002 ◽  
Vol 30 (1) ◽  
pp. 195-205 ◽  
Author(s):  
Anand Balachandran ◽  
Geoffrey M. Voelker ◽  
Paramvir Bahl ◽  
P. Venkat Rangan
Keyword(s):  
Wireless Lan ◽  
Network Performance ◽  
User Behavior

Optimized Packet Filtering Honeypot with Snooping Agents in Intrusion Detection System for WLAN

2018 ◽  
Vol 12 (1) ◽  
pp. 53-62 ◽  
Author(s):  
Gulshan Kumar ◽  
Rahul Saha ◽  
Mandeep Singh ◽  
Mritunjay Kumar Rai
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Wireless Lan ◽  
Network Performance ◽  
Detection System ◽  
Queuing Delay ◽  
Strongly Coupled ◽  
Network Intrusion ◽  
Simulation Scenario ◽  
The Impact

Wireless LAN networks are considered to be widely used and efficient infrastructure used in different domains of communication. In this paper, we worked on Network Intrusion Detection System (NIDS) to prevent intruder's activities by using snooping agents and honeypot on the network. The idea behind using snooping agents and honeypot is to provide network management in term of monitoring. Honey pot is placed just after the Firewall and intrusion system have strongly coupled synchronize with snooping agents Monitoring is considered at packet level and pattern level of the traffic. Simulation filtered and monitor traffic for highlight the intrusion in the network. Further attack sequence has been created and have shown the effects of attack sequence on scenario which have both honey pot and snoop agent with different network performance parameters like throughput, network load, queuing delay, retransmission attempt and packet. The simulation scenario shows the impact of attack on the network performance.

scholarly journals Behaviors of High-Frequency Subscribers in Cellular Data Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Jingtao Li ◽  
Yang Liu ◽  
Wengang Pei ◽  
Zhen Cao
Keyword(s):  
High Frequency ◽  
Large Scale ◽  
Network Performance ◽  
Optimal Allocation ◽  
User Behavior ◽  
Radio Channel ◽  
Lower Percentage ◽  
Data Traffic ◽  
Data Volume ◽  
Cellular Data Networks

Cellular networks operate under restrictive constraints of resources including radio channel capacity and network processing capability. The tremendous growth in the cellular data network usage brings operators with unprecedented signaling overloads and threatens the stability of the network. High-frequency subscribers, who produce low data volume but cause high signaling overhead, are extremely resource-inefficient. For subscribers who activate more than 5 sessions per hour, they only account for 1.19% of the total subscribers and generate about 3.81% data traffic but consume roughly 19.46% of the signaling resources, resulting in the inconsistent signaling-data bandwidth consumptions. Understanding the characteristics of those users has an important significance of capacity design and optimal allocation of resources. A lack of understanding of this active group potentially leads to low network performance and security threats. In this paper, we perform the first city-wide, large-scale investigation of high-frequency subscribers. By applying a set of novel approaches, such as pattern extraction and user behavior rebuilding, we observed that high-frequency subscribers correspond to a lower percentage of none-pattern traffic, showing positive correlation between access regularity and session activation frequency. Besides, we found that amount of high-frequency subscribers has abnormal behaviors, resulting in unwanted signaling loads. We demonstrate that our findings have significant implications on network optimization.

Effects of Network Performance on Smartphone User Behavior

2016 ◽  
Author(s):  
Luis Guillermo Martinez Ballesteros ◽  
Markus Örblom ◽  
Jan Markendahl ◽  
Per Skillermark ◽  
Konrad Tollmar
Keyword(s):  
Network Performance ◽  
User Behavior

scholarly journals ANALISIS QUALITY OF SERVICE VIDEO STREAMING YOUTUBE DAN RMA WLAN DI POLITEKNIK NEGERI SRIWIJAYA

2020 ◽  
Vol 22 (2) ◽  
pp. 93
Author(s):  
Suroso Suroso ◽  
Ciksadan Ciksadan ◽  
Sholihatun Sholihatun
Keyword(s):  
Quality Of Service ◽  
Action Research ◽  
Packet Loss ◽  
Wireless Lan ◽  
Network Performance ◽  
Educational Institution ◽  
Video Quality ◽  
Good Condition ◽  
Ip Address

Sriwijaya State Polytechnic is an educational institution that provides wireless hotspots in every lecture building. With the increasing need for internet, especially on Youtube streaming, it is necessary to have an analysis in each lecture building to find out QoS (Quality of Service) and RMA (Reliability, Maintainability, and Availability) on the Wireless LAN network at Sriwijaya State Polytechnic. This study uses the Action Research method. For QoS measurement using wireshark software and Axence netTools by logging in through the hotspot for each department at the Sriwijaya State Polytechnic, to find out the performance of a network using PRTG (Paessler Router Traffic Grapher) software using the ping IP Address sensor will display the availability monitoring results. The results of the largest measurement of maximum bandwidth are 21,639,256 bit / s in the Business Administration Department, for the highest delay and jitter values are 36 ms and 0.050 ms in the KPA building (Administrative Head Office). The result of the largest packet loss is 0.093% in the Department of Electrical Engineering, for the largest throughput is 0.918 Mbit / s at 1080HD video quality in the Accounting Department. Monitoring RMA aims to determine the performance of an internet network with an Availability result of 99%, this is categorized in good condition. It can be concluded that the QoS measurement results based on the TIPHON version are categorized as very good and the RMA monitoring results have good network performance results as well.Keyword: Streaming Youtube, Parameter QoS, wireshark, RMA ABSTRAKPoliteknik Negeri Sriwijaya merupakan salah satu instansi pendidikan yang menyediakan wireless hotspot di setiap gedung kuliah. Dengan adanya kebutuhan internet yang semakin meningkat khususnya pada streaming Youtube  maka perlu adanya analisis disetiap gedung kuliah untuk mengetahui QoS (Quality of Servie) dan RMA (Reliability, Maintainability, and Availability) pada jaringan Wireless LAN di Politeknik Negeri Sriwijaya . Penelitian ini menggunakan  metode Action Research. Untuk pengukuran QoS menggunakan software wireshark dan Axence netTools dengan cara login melalui hotspot untuk masing-masing jurusan di Politeknik Negeri Sriwijaya sedangkan untuk mengetahui kinerja dari sebuah jaringan menggunakan software PRTG (Paessler Router Traffic Grapher) dengan menggunakan sensor ping IP Address akan menampilkan hasil monitoring availability. Hasil pengukuran terbesar bandwidth maksimal yaitu 21,639,256 bit/s di Jurusan Adminstrasi Bisnis, untuk  nilai delay  dan jitter tertinggi yaitu 36 ms dan 0,050 ms di gedung KPA (Kantor Pusat Administrasi). Hasil packet loss terbesar yaitu 0,093% pada Jurusan Teknik Elektro, untuk troughput  terbesar yaitu 1,681 Mbit/s pada kualitas video 1080HD pada Jurusan Akuntansi. Monitoring RMA bertujuan untuk mengetahui kinerja dari suatu jaringan internet dengan hasil Availability sebesar 99% hal ini dikategorikan dalam kondisi yang baik. Dapat disimpulkan  hasil  pengukuran  QoS berdasarkan versi TIPHON hasilnya dikategorikan sangat bagus dan untuk hasil monitoring RMA memiliki hasil kinerja jaringan  yang baik juga.Kata Kunci: Streaming Youtube, Parameter QoS, wireshark, RMA 

A novel application classification and its impact on network performance

2016 ◽  
Vol 30 (21) ◽  
pp. 1650278 ◽  
Author(s):  
Shuo Zhang ◽  
Ning Huang ◽  
Xiaolei Sun ◽  
Yue Zhang
Keyword(s):  
Network Performance ◽  
User Behavior ◽  
Random Network ◽  
Network Efficiency ◽  
Application Process ◽  
Scale Free ◽  
Process Characteristics ◽  
Free Network ◽  
Application Classification ◽  
Real Traffic

Network traffic is believed to have a significant impact on network performance and is the result of the application operation on networks. Majority of current network performance analysis are based on the premise that the traffic transmission is through the shortest path, which is too simple to reflect a real traffic process. The real traffic process is related to the network application process characteristics, involving the realistic user behavior. In this paper, first, an application can be divided into the following three categories according to realistic application process characteristics: random application, customized application and routine application. Then, numerical simulations are carried out to analyze the effect of different applications on the network performance. The main results show that (i) network efficiency for the BA scale-free network is less than the ER random network when similar single application is loaded on the network; (ii) customized application has the greatest effect on the network efficiency when mixed multiple applications are loaded on BA network.

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