• Title/Summary/Keyword: Mobile Malicious AP

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Mobile Malicious AP Detection and Cut-off Mechanism based in Authentication Network (인증 네트워크 상의 비 인가된 모바일 AP 탐지 및 차단 기법)

  • Lim, Jae-Wan;Jang, Jong-Deok;Yoon, Chang-Pyo;Ryu, Hwang-Bin
    • Convergence Security Journal
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    • v.12 no.1
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    • pp.55-61
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    • 2012
  • Owing to the development of wireless infrastructure and mobile communication technology, There is growing interest in smart phone using it. The resulting popularity of smart phone has increased the Mobile Malicious AP-related security threat and the access to the wireless AP(Access Point) using Wi-Fi. mobile AP mechanism is the use of a mobile device with Internet access such as 3G cellular service to serve as an Internet gateway or access point for other devices. Within the enterprise, the use of mobile AP mechanism made corporate information management difficult owing to use wireless system that is impossible to wire packet monitoring. In this thesis, we propose mobile AP mechanism-based mobile malicious AP detection and prevention mechanism in radius authentication server network. Detection approach detects mobile AP mechanism-based mobile malicious AP by sniffing the beacon frame and analyzing the difference between an authorized AP and a mobile AP mechanism-based mobile malicious AP detection.

A Study on Authentication of Mobile Agency AP Connection Using Trusted Third Party in Smart Phone Environment (스마트폰 환경에서 신뢰기관을 이용한 이동 통신사 AP 접속 인증에 관한 연구)

  • Lee, Gi-Sung;Min, Dae-Gi;Jun, Moon-Seog
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.11
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    • pp.5496-5505
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    • 2012
  • As the IT industry develops, the smart-phone technology and functions which are actively being studied at the moment greatly influence the entire living environment. With the smart-phone technology and functions, people's interest for the wireless LAN which can be used to get access to the Internet anytime anywhere is gradually increasing. However, since the malicious attacker can easily carry out hacking or approach the contents due to the characteristics of the wireless radio wave, the personal information with a high level of importance for data security is easily exposed due to Spoofing, Denial of Service attack and Man in the Middle attack. Therefore, the demand for security is gradually increasing. In this paper, the safe wireless network service environment is provided by supplementing the vulnerability in regard to Spoofing, Session Hijacking and Man in the Middle attack after executing the client's authentication process, the AP authentication process and the Mobile Agency authentication process with the client's information in the USIM, the AP information and the Mobile Agency information when the client uses the wireless Internet through the Mobile Agency AP access in the smart phone environment.

A Method for Detecting Unauthorized Access Point over 3G Network (3G망을 사용하는 인가되지 않은 AP 탐지 방법)

  • Kim, I-luk;Cho, Jae-Ik;Shon, Tae-Shik;Moon, Jong-Sub
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.2
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    • pp.259-266
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    • 2012
  • Malicious rogue AP has been used for variety attacks such as packet sniffing and Man-In-The-Middle Attack. It is used for the purpose of data leakage via 3G network within companies, and the unauthorized AP could be a reason of security incidents even though it is not intended. In this paper, we propose the method for detecting unauthorized access point over 3G networks throughout the RTT (Round Trip Time) value for classification. Through the experiments, we show that the method can classify the AP which is installed by normal way and the AP over 3G networks successfully.

A Secure WLAN Authentication Scheme

  • Singh, Rajeev;Sharma, Teek Parval
    • IEIE Transactions on Smart Processing and Computing
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    • v.2 no.3
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    • pp.176-187
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    • 2013
  • Message replay, malicious Access Point (AP) associations and Denial of Service (DoS) attacks are the major threats in Wireless LANs. These threats are possible due to a lack of proper authentication and insecure message communications between wireless devices. Current wireless authentication & key exchange (AKE) schemes and security protocols (WEP, WPA and IEEE 802.11i) are not sufficient against these threats. This paper presents a novel Secure WLAN Authentication Scheme (SWAS). The scheme introduces the delegation concept of mobile authentication in WLANs, and provides mutual authentication to all parties (Wireless Station, Access Point and Authentication Server). The messages involved in the process serve both authentication and key refreshing purposes. The scheme enhances the security by protecting the messages through cryptographic techniques and reduces the DoS impact. The results showed that cryptographic techniques do not result in extra latencies in authentication. The scheme also reduces the communication cost and network overhead.

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Intrusion Artifact Acquisition Method based on IoT Botnet Malware (IoT 봇넷 악성코드 기반 침해사고 흔적 수집 방법)

  • Lee, Hyung-Woo
    • Journal of Internet of Things and Convergence
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    • v.7 no.3
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    • pp.1-8
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    • 2021
  • With the rapid increase in the use of IoT and mobile devices, cyber criminals targeting IoT devices are also on the rise. Among IoT devices, when using a wireless access point (AP), problems such as packets being exposed to the outside due to their own security vulnerabilities or easily infected with malicious codes such as bots, causing DDoS attack traffic, are being discovered. Therefore, in this study, in order to actively respond to cyber attacks targeting IoT devices that are rapidly increasing in recent years, we proposed a method to collect traces of intrusion incidents artifacts from IoT devices, and to improve the validity of intrusion analysis data. Specifically, we presented a method to acquire and analyze digital forensics artifacts in the compromised system after identifying the causes of vulnerabilities by reproducing the behavior of the sample IoT malware. Accordingly, it is expected that it will be possible to establish a system that can efficiently detect intrusion incidents on targeting large-scale IoT devices.