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Real Time Vulnerability Assessment of Wlan and its Digital Forensics

Thesis Info

Access Option

External Link

Author

Zeeshan Akram

Institute

Virtual University of Pakistan

Institute Type

Public

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2017

Thesis Completion Status

Completed

Subject

Software Engineering

Language

English

Link

http://vspace.vu.edu.pk/detail.aspx?id=123

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676720972112

Similar


Wireless local area network (WLAN) has changed the paradigm of communication and become ubiquitous. As the number of devices connected on wireless is increasing, it is therefore, essential to find vulnerabilities in the security of wireless networks. In this research, WLAN security vulnerabilities are exposed in real time and digital forensics of WLAN for Windows and Android operating system-based clients are conducted. A real time wardriving was conducted in a residential area to emphasize the fact that WLAN broadcast sensitive information. The results of wardriving showed that 97% of WLAN access points (AP) were using WPA2. According to the data collected it was found that channel 11 and channel 1 were used by 52% WLAN APs and the average number of clients per AP was 1.59. Tenda WiFi wireless access point was set up with MAC filtering, hidden SSID and WPA2 security mechanisms in different combinations in such a way as to add an additional layer of security to previous configuration. The vulnerability assessment of security mechanisms of residential AP was performed with Kali Linux version 2017.1. A practical demonstration of exploiting MAC filtering, Hidden SSID with MAC filtering and WPA2-PSK with hidden SSID and MAC filtering security mechanisms of AP was carried out in real time. It was observed that the existing security mechanisms were vulnerable. Furthermore, the digital traces left behind or stored in 802.11 based devices were also explored in order to investigate wireless network attacks. Researchers have proposed probabilistic models for detecting MAC spoofing attacks of WLAN clients. However, in this research, a live forensic method based on changing position of legitimate client with respect to attack detector and observing received signal strength of wireless packets to detect MAC filtering bypass attack was proposed. De-authentication attacks on wireless networks were also detected. This thesis also explored the methods of finding WLAN artifacts from Windows and Android OS devices to determine whether a particular device was connected to an unauthorized wireless network or not. Researchers have exploited many security mechanisms of WLAN focusing upon a single parameter of WLAN security at a time. However, in this work, three available security mechanisms were cascaded to produce a three-layer security mechanism which was exploited in real-time.
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