Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Evil-Twin is becoming a common attack in smart home environments where an attacker can set up a fake AP to compromise the security of the connected devices. To identify the fake APs, The current approaches of detecting Evil-Twin attacks all rely on information such as SSIDs, the MAC address of the genuine AP, or network traffic patterns. Hover, such information can be faked by the attacker, often leading to low detection rates and ak protection.  presents a novel Evil-Twin attack detection method based on the received signal strength indicator (RSSI). Our approach considers the RSSI as a fingerprint of APs and uses the fingerprint of the genuine AP to identify fake ones.  provide two schemes to detect a fake AP in two different scenarios where the genuine AP can be located at either a single or multiple locations in the property, by exploiting the multipath effect of the Wi-Fi signal. As a departure from prior work, our approach does not rely on any professional measurement devices. Experimental results show that our approach can successfully detect 90% of the fake APs, at the cost of a one-off, modest connection delay.
['Zhanyong Tang', 'Y. Zhao', 'Lei Yang', 'Shengde Qi', 'Dingyi Fang', 'Xiaojiang Chen', 'Xiaoqing Gong', 'Zheng Wang']
I am writing a research paper on a idea Exploiting Wireless Received Signal Strength Indicators to Detect Evil-Twin Attacks in Smart Homes
[{"from": "human", "value": "I am writing a research paper on a idea Exploiting Wireless Received Signal Strength Indicators to Detect Evil-Twin Attacks in Smart Homes"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Evil-Twin is becoming a common attack in smart home environments where an attacker can set up a fake AP to compromise the security of the connected devices. To identify the fake APs, The current approaches of detecting Evil-Twin attacks all rely on information such as SSIDs, the MAC address of the genuine AP, or network traffic patterns. Hover, such information can be faked by the attacker, often leading to low detection rates and ak protection.  presents a novel Evil-Twin attack detection method based on the received signal strength indicator (RSSI). Our approach considers the RSSI as a fingerprint of APs and uses the fingerprint of the genuine AP to identify fake ones.  provide two schemes to detect a fake AP in two different scenarios where the genuine AP can be located at either a single or multiple locations in the property, by exploiting the multipath effect of the Wi-Fi signal. As a departure from prior work, our approach does not rely on any professional measurement devices. Experimental results show that our approach can successfully detect 90% of the fake APs, at the cost of a one-off, modest connection delay."}]