• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.1
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• pp.75-86
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• 2014

Demand for the femtocell is largely credited to the surge in a more always best connected communication conscious public. 3GPP defines new architecture and security requirement for Release 9 to deal with femtocell, Home eNode B referred as HeNB. In this paper, we analyze the HeNB security with respect to mutual authentication, access control, and secure key agreement. Our analysis pointed out that a number of security vulnerabilities have still not been addressed and solved by 3GPP technical specification. These include eavesdropping, man-in-the-middle attack, compromising subscriber access list, and masquerading as valid HeNB. To the best of our knowledge, any related research studying HeNB security was not published before. Towards this end, this paper proposes an improved authentication and key agreement mechanism for HeNB which adopts proxy-signature and proxy-signed proxy-signature. Through our elaborate analysis, we conclude that the proposed not only prevents the various security threats but also accomplishes minimum distance from use-tolerable authentication delay.

• Journal of Information Processing Systems
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• v.4 no.4
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• pp.145-152
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• 2008

The specification of the Home Evolved NodeB (Home-eNB), which is a small base station designed for use in residential or small business environment, is currently ongoing in 3GPP LTE (Long Term Evolution) systems. One of the key requirements for its feasibility in the LTE system is the mobility management in the deployment of the numerous Home-eNBs and other 3GPP network. In this paper, we overview the characteristic of Home-eNB and also describe the mobility management issues and the related approaches in 3GPP LTE based Home-eNB systems.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.4
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• pp.169-173
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• 2009

In the recent, the communication market increased every year. Because of the user's demands and exhaustion of wireless resource, we needs a new technology of the communication system. The femtocell is one of the new technology of the communication system. 'Femto' means very small. By using the femtocell that made up the very small cell, the frequency efficiency increase. The femtocell has different cell environments. In the paper, we look around the femtocell system model, the femtocell system technology and simulation result of system performance.

• Information and Communications Magazine
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• v.25 no.9
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• pp.41-48
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• 2008

펨토셀(Femtocell), 가정용 기지국(Home Base Station 혹은 Home e-NodeB) 등 여러 가지 이름으로 불리고 있는 초소형 기지국은 셀룰러 망과 동일한 기술을 이용하여 동일 혹은 인접 주파수 영역에서 서비스를 제공하는 일반 사용자 장비이다. 이미 규격화가 완료되어 서비스 중인 무선 접속기술들은 초소형 기지국을 효과적으로 지원하지 못하고 있는 반면 차세대 무선 통신 기술로 논의가 진행 중인 LTE(Long Term Evolution) 시스템에서는 가정용 초소형 기지국을 논의 처음부터 고려하여 무선 접속 기술 및 시스템을 설계하고 있다. 본 고에서는 현재 LTE 시스템에서 펨토셀을 지원하기 위해 고려 중인 다양한 제안들과 결정 사항들을 알아본다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.11
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• pp.5229-5252
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• 2016

With proliferation of diverse network access technologies, users demands are also increasing and service providers are offering a Quality of Service (QoS) to satisfy their customers. In roaming, a mobile node (MN) traverses number of available networks in the heterogeneous wireless networks environment and a single operator is not capable to fulfill the demands of user. It is crucial task for MN for selecting a best network from the list of networks at any time anywhere. A MN undergoes a network selection situation frequently when it is becoming away from the home network. Multiple Attribute Group Decision (MAGD) method will be one of the best ways for selecting target network in heterogeneous wireless networks (4G). MAGD network selection process is predominantly dependent on two steps, i.e., attribute weight, decision maker's (DM's) weight and aggregation of opinion of DMs. This paper proposes Multi-Attribute Intuitionistic Fuzzy Group Decision Method (MAIFGDM) using TOPSIS for the selection of the suitable candidate network. It is scalable and is able to handle any number of networks with large set of attributes. This is a method of lower complexity and is useful for real time applications. It gives more accurate result because it uses Intuitionistic Fuzzy Sets (IFS) with an additional parameter intuitionistic fuzzy index or hesitant degree. MAIFGDM is simulated in MATLAB for its evaluation. A comparative study of MAIFDGM is also made with TOPSIS and Fuzzy-TOPSIS in respect to decision delay. It is observed that MAIFDGM have low values of decision time in comparison to TOPSIS and Fuzzy-TOPSIS methods.