• 한국위성정보통신학회논문지
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• 제12권3호
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• pp.50-53
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• 2017

위성 통신은 무선 채널을 통한 광역 브로드캐스팅 특성으로 인하여 보안에 취약한 약점을 가지고 있음에도 불구하고, 위성 통신을 위한 보안 기법으로는 지상 통신에서 사용해 오던 상위 계층에서의 암호화를 제외하고 많은 방법이 알려져 있지 않다. 특히 물리계층에서의 재밍, 스푸핑 신호 공격 빈도가 증가함에 따라 이에 대한 대응 기술 개발이 중요하다고 할 수 있다. 본 논문에서는 위성통신망 보안 문제에 대해서 상위 계층과 물리 계층에서의 대응책에 대해 각각 정리하고, 사물인터넷 등의 지상망 적용을 위해 정보이론 관점에서 개발되고 있는 물리 계층 보안 기법의 최근 연구 결과에 대해 알아본다. 교차 계층 접근 방식을 포함하여, 위성 통신보안을 향상시킬 수 있는 향후 연구 방향을 제시한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권5호
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• pp.1094-1107
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• 2013

NTRU cryptosystem has been suggested for protecting wireless body area networks, which is secure in the sense of traditional cryptanalysis. In this paper, we fulfill the first power analysis attack on the ultra-low-power environment of wireless body area networks. Specifically, two practical differential power analyses on NTRU algorithm are proposed, which can attack the existing countermeasures of NTRU. Accordingly, we suggest three countermeasures against our attacks. Meanwhile, practical experiments show that although the attacks in this paper are efficient, our countermeasures can resist them effectively.

• 한국정보보호학회:학술대회논문집
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• 한국정보보호학회 2006년도 하계학술대회
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• pp.181-184
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• 2006

The mobile devices are constrained to be low battery, and the mobile data channel is low data rate. Therefore, the computational cost on the client side of the authentication protocol should be low. In 2005, Hwang and Su proposed an efficient authentication protocol for mobile networks. Hwang-Su protocol is more efficient than other related protocols. In this paper, we propose a new efficient authentication protocol for mobile networks. The proposed protocol is more efficient than Hwang-Su's in computational respect although our protocol is nearly equal to Hwang-Su's in communication respect. It is suitable to apply in the mobile networks.

• Journal of Communications and Networks
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• 제8권4호
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• pp.461-474
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• 2006

A group key exchange protocol is a cryptographic primitive that describes how a group of parties communicating over a public network can come up with a common secret key. Due to its significance both in network security and cryptography, the design of secure and efficient group key exchange protocols has attracted many researchers' attention over the years. However, despite all the efforts undertaken, there seems to have been no previous systematic look at the growing problem of key exchange over combined wired and wireless networks which consist of both stationary computers with sufficient computational capabilities and mobile devices with relatively restricted computing resources. In this paper, we present the first group key exchange protocol that is specifically designed to be well suited for this rapidly expanding network environment. Our construction meets simplicity, efficiency, and strong notions of security.

• 융합보안논문지
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• 제8권2호
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• pp.27-34
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• 2008

본 논문에서는 텔레매틱스를 위한 센서네트워크 기반의 이동체 자동화 시스템을 설계 및 구현하였다. 이를 위하여 자동차내부의 각종 센서로부터 Zigbee 센서 망을 이용하여 무선으로 각종 센싱 데이터를 수집한 후 모니터링 장치에서 이를 분석한다. 그리고 분석된 데이터를 텔레매틱스 단말기와 인터페이스 시켜 차량의 상태 정보를 한눈에 운전자가 한눈에 파악할 수 있도록 하였다. 또한, 센서 네트워크 기반으로 온도센서, 습도센서 그리고 조도센서 등을 모니터링하고 이들 데이터를 기반으로 히터 및 에어콘을 자동 구동시키는 차량 내 온/습도 자동조절기를 구현하였다.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2008년도 정보통신설비 학술대회
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• pp.197-200
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• 2008

In most sensor networks, nodes can be easily compromised by adversaries due to hostile environments. Adversaries may use compromised nodes to inject false reports into the sensor networks. Such false report attacks will cause false alarms that can waste real-world response effort, and draining the finite amount of energy resource in the battery-powered network. A dynamic enroute scheme proposed by Yu and Guan can detect and drop such false reports during the forwarding phase. In this scheme, choosing a threshold value is very important, as it trades off between security power and energy consumption. In this paper, we propose a threshold determining method which uses the fuzzy rule-based system. The base station periodically determines a threshold value though the fuzzy rule-based system. The number of cluster nodes, the value of the key dissemination limit, and the remaining energy of nodes are used to determine the threshold value.

• International Journal of Computer Science & Network Security
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• 제21권1호
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• pp.207-213
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• 2021

Networks in Mobile ad hoc contain distribution and do not have a predefined structure which practically means that network modes can play the role of being clients or servers. The routing protocols used in mobile Ad-hoc networks (MANETs) are characterized by limited bandwidth, mobility, limited power supply, and routing protocols. Hybrid routing protocols solve the delay problem of reactive routing protocols and the routing overhead of proactive routing protocols. The Ant Colony Optimization (ACO) algorithm is used to solve other real-life problems such as the travelling salesman problem, capacity planning, and the vehicle routing challenge. Bio-inspired methods have probed lethal in helping to solve the problem domains in these networks. Hybrid routing protocols combine the distance vector routing protocol (DVRP) and the link-state routing protocol (LSRP) to solve the routing problem.

• International Journal of Computer Science & Network Security
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• 제22권3호
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• pp.1-8
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• 2022

Supporting real-time flows with delay and throughput constraints is an important challenge for future wireless networks. In this paper, we develop an optimal scheduling scheme to optimally choose the packets to transmit. The optimal transmission strategy is based on an observable Markov decision process. The novelty of the work focuses on a priority-based probabilistic packet scheduling strategy for efficient packet transmission. This helps in providing guaranteed services to real time traffic in Heterogeneous Wireless Networks. The proposed scheduling mechanism is able to optimize the desired performance. The proposed scheduler improves the overall end-to-end delay, decreases the packet loss ratio, and reduces blocking probability even in the case of congested network.

• International Journal of Computer Science & Network Security
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• 제22권4호
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• pp.292-298
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• 2022

Femtocell networks can be a potential method for increasing the capacity of LTE networks, especially in indoor areas. However, unplanned deployment of femtocells results in co-tier interference and cross-tier interference problems. The interference reduces the advantages of implementing femtocell networks to a certain extent. The notion of Fractional Frequency Reuse (FFR) is proposed in order to reduce the impact of interference on the system's performance. In this paper, a dynamic approach for efficiently partitioning the spectrum is suggested. The goal is to enhance the capacity of femtocells, which will improve the performance of the system. The suggested strategy allocates less resources to the macrocell portion of the network, which has a greater number of femtocells deployed to maximize the utilization of available resources for femtocell users. The spectrum division would be dynamic. The proposed strategy is evaluated through a simulation using MATLAB tool. In conclusion, the results showed that the proposed scheme has the potential to boost the system's capacity.

• International Journal of Computer Science & Network Security
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• 제23권9호
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• pp.186-191
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• 2023

Neural Networks are widely used for huge variety of tasks solution. Machine Learning methods are used also for signal and time series analysis, including electrocardiograms. Contemporary wearable devices, both medical and non-medical type like smart watch, allow to gather the data in real time uninterruptedly. This allows us to transfer these data for analysis or make an analysis on the device, and thus provide preliminary diagnosis, or at least fix some serious deviations. Different methods are being used for this kind of analysis, ranging from medical-oriented using distinctive features of the signal to machine learning and deep learning approaches. Here we will demonstrate a neural network-based approach to this task by building an ensemble of 1D CNN classifiers and a final classifier of selection using logistic regression, random forest or support vector machine, and make the conclusions of the comparison with other approaches.