scholarly journals Detection of Rogue Access Point in WLAN using Hopfield Neural Network

2017 ◽  
Vol 7 (2) ◽  
pp. 1060 ◽  
Author(s):  
Menal Dahiya ◽  
Sumeet Gill
Keyword(s):  
Neural Network ◽  
Simulation Experiment ◽  
Access Point ◽  
Hopfield Neural Network ◽  
Wireless Networking ◽  
Neural Network Approach ◽  
Unauthorized Access ◽  
Access Points ◽  
Man In The Middle ◽  
Rogue Access Point

The serious issue in the field of wireless communication is the security and how an organization implements the steps against security breach. The major attack on any organization is Man in the Middle attack which is difficult to manage. This attack leads to number of unauthorized access points, called rogue access points which are not detected easily. In this paper, we proposed a Hopfield Neural Network approach for an automatic detection of these rogue access points in wireless networking. Here, we store the passwords of the authentic devices in the weight matrix format and match the patterns at the time of login. Simulation experiment shows that this method is more secure than the traditional one in WLAN.

scholarly journals A 2D Hopfield Neural Network approach to mechanical beam damage detection

2015 ◽  
Vol 26 (4) ◽  
pp. 1081-1095 ◽  
Author(s):  
Juliana Almeida ◽  
Hugo Alonso ◽  
Pedro Ribeiro ◽  
Paula Rocha
Keyword(s):  
Neural Network ◽  
Damage Detection ◽  
Hopfield Neural Network ◽  
Network Approach ◽  
Neural Network Approach ◽  
Beam Damage

scholarly journals AN ATTACK SCENARIO USING A ROGUE ACCESS POINT IN IEEE 802.11 NETWORKS

2021 ◽  
Vol 3 (11) ◽  
pp. 144-154
Author(s):  
Roman Korolkov
Keyword(s):  
Wireless Networks ◽  
Access Point ◽  
Local Area ◽  
Practical Implementation ◽  
Security Threats ◽  
Access Points ◽  
802.11 Networks ◽  
Attack Scenario ◽  
Gain Access ◽  
Rogue Access Point

One of the most serious security threats to wireless local area networks (WLANs) in recent years is rogue access points that intruders use to spy on and attack. Due to the open nature of the wireless transmission medium, an attacker can easily detect the MAC addresses of other devices, commonly used as unique identifiers for all nodes in the network, and implement a spoofing attack, creating a rogue access point, the so-called "Evil Twin". The attacker goal is to connect legitimate users to a rogue access point and gain access to confidential information. This article discusses the concept, demonstrates the practical implementation and analysis of the “Evil Twin” attack. The algorithm of the intruder's actions, the scenario of attack on the client, and also procedure for setting up the program-implemented rogue access point is shown. It has been proven that the implementation of the attack is possible due to the existence of several access points with the same service set identifier and MAC address in the same area, allowed by 802.11 standard. The reasons for failure operation of the network and possible interception of information as a result of the attack are identified, methods of detecting rogue access points are analyzed. During the experiment, observations of the 802.11 frames showed that there were deviations in the behavior of beacon frames at the time of the "Evil Twin" attack. First, the number of beacon frames coming from the access point which succumbed to the attack is increasing. Secondly, the traffic analyzer detected significant fluctuations in the values of the received signal level, which simultaneously come from a legitimate and rogue access point, which allows to distinguish two groups of beacon frames. The "Evil Twin" attack was implemented and researched using Aircrack-ng – a package of software for auditing wireless networks, and Wireshark – network traffic analyzer. In the future, the results obtained can be used to improve methods of protection against intrusion into wireless networks, in order to develop effective systems for detecting and preventing intrusions into WLAN.

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