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Analyzing and detecting the de-authentication attack by creating an automated scanner using Scapy
- Publication Year :
- 2023
- Publisher :
- Auricle Global Society of Education and Research, 2023.
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Abstract
- With the rapid spread of internet technologies around the world, the number of people that are using theinternet is increasing enormously in the last 10 years. with the increase in the number of people that are using the internet and the increase in the devices that depend on the internet such as computers, tablets, and mobile phones are raised the challenges of internet security against hackers who can steal sensitive information and exploits personal data. In this paper, we’re focusing on the home security threads and one of its famous attacks called the De-authentication attacks. The de-authentication frame is one of the Management frames that is transmitted between the AP and the connected devices and it can be used by attackers to apply a Dos attack and deny the devices from connecting to the network. In this paper. We will analyze the normal de-authentication frame and compare it with the attacking de-authentication frames to create an automated Scanner to identify whether it’s an attack, or it's a normal frame transmitted between AP and its connected devices, or vice versa. I would like to express my sincere gratitude to all those who have contributed to the successful completion of this research paper. Firstly, I would like to thank my supervisor Asst. Prof. Dr. Abdullahi Abdu IBRAHIM for his constant guidance, invaluable support, and insightful feedback throughout the research process. His expertise and advice have been instrumental in shaping the direction of this study. Finally, I would like to thank my family for their support, patience, and valuable suggestions. Their constant encouragement and motivation have helped me to overcome various challenges and obstacles encountered during my study.
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....f34c302c7f57e063f38edd30d0f1213b