Rogue Access Point Localization Using Particle Swarm Optimization
| المؤلف الرئيسي: | Al-Refai, Mohammad Badri (Author) |
|---|---|
| مؤلفين آخرين: | Awad, Fahed (Advisor) , القرم، أحمد (مشرف) |
| التاريخ الميلادي: |
2017
|
| موقع: | الزرقاء |
| الصفحات: | 1 - 75 |
| رقم MD: | 993154 |
| نوع المحتوى: | رسائل جامعية |
| اللغة: | الإنجليزية |
| الدرجة العلمية: | رسالة ماجستير |
| الجامعة: | جامعة الزرقاء |
| الكلية: | كلية الدراسات العليا |
| الدولة: | الاردن |
| قواعد المعلومات: | Dissertations |
| مواضيع: | |
| رابط المحتوى: |
عدد مرات التحميل
2
| المستخلص: |
Determining the position of a rogue access point is an important problem in research community due to the problems it prevents. An important advantage to determine the position of a rogue access point is ensuring the security of the networks because this type of access point can threaten the networks in many different aspects such as man-in-the-middle attack, flood the network with useless data, create a denial of service attack, build a private channel for information theft, and block the signal sent by legitimate access points. In this research, the received signal strength of a Wi-Fi access point, along with a particle swarm optimization technique, is used to find the location of rogue access points. This is achieved by using a number of samples of the received signal strength at known location as input to the particle swarm optimization technique, which is used to search for the best location of the rogue access point that matched the locations of the sample points. The proposed approach was validated and evaluated via simulation and was shown to estimate the location of the rogue access point quickly and precisely in different scenarios and input parameter values. Comparative analysis demonstrated that the proposed approach can outperform the state-of-the-art approaches. The main contribution of this research is a novel new approach of estimating the location of a rogue access point using the particle swarm optimization technique. The contribution includes the customization of the particle swarm optimization technique to fit the problem under investigation in a simple and efficient manner. |
|---|
عناصر مشابهة
-
Ananlysis and Design of Antenna Arrays Radiation Pattern using Particle Swarm Optimization
بواسطة: Al Bawri, Samir Salem Omair منشور: (2009) -
Target classification in wireless sensor network using particle Swarm optimization (PSO)
بواسطة: Yaqot, Abd Allah Ahmed منشور: (2010) -
Analysis of Higher Order Modeling of Inter Area Power System Oscillation Using Eigenvalue Method and Model Reduction Via Particle Swarm Optimization Algorithm
بواسطة: Al Ma'aitah, Mohammad A. منشور: (2016) -
Using Accelerated Particle Swarm Optimization (PSO) Algorithm for Arabic Query Expansion
بواسطة: عسولي، زاهيه محمد منشور: (2021) -
Highly Secure Wireless Network by Detecting Rogue Access Points and Preventing Cloning of Legitimate Access Point
بواسطة: المعايعه، رؤى محمد أحمد منشور: (2022)
