A solution to detect the existence of a malicious rogue AP

Hsu, Fu-Hau; Hsu, Yu Liang; Wang, Chuan Sheng

doi:10.1016/j.comcom.2019.03.013

Cited by 16 publications

(4 citation statements)

References 14 publications

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“…The content-based recommendation algorithm mainly uses the label categories of movies and the user's preference for movies with different labels to recommend [8]. If multiple movie categories are provided for the user to choose when a new user logs in to the system, movies that are more relevant to the user's favorite genre or that are more popular through category selection will be recommended.…”

Section: Content-based Recommendation Algorithmsmentioning

confidence: 99%

Research on intelligent design algorithm of indoor space based on hybrid recommendation model

2024

International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023)

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Looking at the traditional interior space design industry, the traditional design method is mainly manual design and the use of interactive modeling software and its design process mainly relies on trial and error. This paper takes the interior space design software platform as the background to study the collocation recommendation algorithm of the 3D home model, aim at improve the efficiency of the intelligent design algorithm. The recommendation idea of collaborative filtering is simple to implement, does not need to consider the inherent attribute characteristics of three-dimensional home projects, and is fast to calculate. After constructing the image feature database, this article uses the similarity between images to measure the visual similarity of the indoor space model; uses similar home projects to predict the collocation data of adjacent projects, and densifies the sparse collocation data; constructs each image separately Feature database, and use this to build its similarity table. According to the similarity table corresponding to each item, the first simNum items of the same category that are similar to the current item can be found. The experimental results show that compared with the traditional algorithm, the algorithm in this paper has greatly improved the accuracy of collocation recommendation.

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Section: Content-based Recommendation Algorithmsmentioning

confidence: 99%

Research on intelligent design algorithm of indoor space based on hybrid recommendation model

2024

International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023)

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“…Yaibuates et al [24] try to identify malicious requests for IP addresses via DHCP, and combine the ICMP and ARP protocols. The paper of Hsu et al [25] suggests a method that uses a range of reverse traceroute data gathered by a remote server to identify the existence of a malicious rogue AP.…”

Section: Malicious Mac Address-related Mechanismsmentioning

confidence: 99%

Automated Wi-Fi intrusion detection tool on 802.11 networks

Dimitris Koutras,

Panos Dimitrellos,

Panayiotis Kotzanikolaou

et al. 2024

ITU J-FET

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Wi-Fi networks enable user-friendly network connectivity in various environments, ranging from home to enterprise networks. However, vulnerabilities in Wi-Fi implementations may allow nearby adversaries to gain an initial foothold into a network, e.g., in order to attempt further network penetration. In this paper we propose a methodology for the detection of attacks originating from Wi-Fi networks, along with a Wi-Fi Network Intrusion Detection (Wi-Fi-NID) tool, developed to automate the detection of such attacks at 802.11 networks. In particular, Wi-Fi-NID has the ability to detect and trace possible illegal network scanning attacks, which originate from attacks at the Wi-Fi access layer. We extend our initial implementation to increase the efficiency of detection, based on mathematical and statistical function techniques. A penetration testing methodology is defined, in order to discover the environmental security characteristics, related with the current configuration of the devices connected to the 802.11 network. The methodology covers known Wi-Fi attacks such as de-authentication attacks, capturing and cracking WPA-WPA/2 handshake, captive portal and WPA attacks, mostly based on various open source software tools, custom tools, as well as on specialized hardware.

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“…The round trip time of a packet exchanged between the user and the DNS server is used to detect the rogue nodes. In [14], the authors proposed Wi-Fi malicious rogue access point finder (RAF) to detect the presence of rogue nodes. RAF can be installed on any device without any special requirement.…”

Section: A Related Workmentioning

confidence: 99%