• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권11호
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• pp.5692-5716
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• 2019

One of the best means to safeguard the confidentiality, security, and privacy of an image within the IoT-Cloud is through encryption. However, looking through encrypted data is a difficult process. Several techniques for searching encrypted data have been devised, but certain security solutions may not be used in IoT-Cloud because such solutions are not lightweight. We propose a lightweight scheme that can perform a content-based search of encrypted images, namely EEIRI. In this scheme, the images are represented using local features. We develop and validate a secure scheme for measuring the Euclidean distance between two descriptor sets. To improve the search efficiency, we employ the k-means clustering technique to construct a searchable tree-based index. Our index construction process ensures the privacy of the stored data and search requests. When compared with more familiar techniques of searching images over plaintexts, EEIRI is considered to be more efficient, demonstrating a higher search cost of 7% and a decrease in search accuracy of 1.7%. Numerous empirical investigations are carried out in relation to real image collections so as to evidence our work.

• Journal of Communications and Networks
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• 제15권2호
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• pp.164-172
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• 2013

We consider the problem of secure and robust clustering for quantized target tracking in wireless sensor networks (WSN) where the observed system is assumed to evolve according to a probabilistic state space model. We propose a new method for jointly activating the best group of candidate sensors that participate in data aggregation, detecting the malicious sensors and estimating the target position. Firstly, we select the appropriate group in order to balance the energy dissipation and to provide the required data of the target in the WSN. This selection is also based on the transmission power between a sensor node and a cluster head. Secondly, we detect the malicious sensor nodes based on the information relevance of their measurements. Then, we estimate the target position using quantized variational filtering (QVF) algorithm. The selection of the candidate sensors group is based on multi-criteria function, which is computed by using the predicted target position provided by the QVF algorithm, while the malicious sensor nodes detection is based on Kullback-Leibler distance between the current target position distribution and the predicted sensor observation. The performance of the proposed method is validated by simulation results in target tracking for WSN.

• International Journal of Computer Science & Network Security
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• 제21권7호
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• pp.341-349
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• 2021

Many emerging mobile ad-hoc network application communications are group-oriented. Multicast supports group-oriented applications efficiently, particularly in a mobile environment that has a limited bandwidth and limited power. Energy effectiveness along with safety are 2 key problem in MANET design. Within this paper, MANET is presented with a stable, energy-efficient clustering technique. In this proposed work advanced clustering in the networks with ticket ID cluster manager (TID-CMGR) has formed in MANET. The proposed routing scheme makes secure networking the shortest route possible. In this article, we propose a Cluster manager approach based on TICKET-ID to address energy consumption issues and reduce CH workload. TID-CMGR includes two mechanism including ticket ID controller, ticketing pool, route planning and other components. The CA (cluster agent) shall control and supervise the functions of nodes and inform to TID-CMGR. The CH conducts and transfers packets to the network nodes. As the CH energy level is depleted, CA elects the corresponding node with elevated energy values, and all new and old operations are simultaneously stored by CA at this time. A simulation trial for 20 to 100 nodes was performed to show the proposed scheme performance. The suggested approach is used to do experimental work using the NS- simulator. TIDCMGR is compared with TID BRM and PSO to calculate the utility of the work proposed. The assessment shows that the proposed TICKET-ID scheme achieves 90 percent more than other current systems.

• 정보보호학회논문지
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• 제16권3호
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• pp.29-38
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• 2006

최근 무선통신기술의 발달은 센서 네트워크 관련연구를 촉진하였으며 다양한 형태의 센서 네트워크 통신방식에 적합한 방법들이 제안되고 있다. 센서 네트워크 연구방향은 제한된 자원에서 에너지효율을 극대화시키기 위한 방법과 그동안 주목받지 못했던 보안관련 연구들로 구분된다. 에너지효율을 높이기 위한 방법으로 노드간 데이터 통합과 통합을 수행하는 클러스터 헤드의 적절한 선택 알고리즘이 제안되었으며, 보안성 강화를 위해 센서에 적용 가능한 암호화 기법과 비밀 키를 관리하기 위한 방법들이 제안되고 있다. 그러나 다양한 형태의 통신방식이 존재하는 센서 네트워크에서 안전하면서도 동시에 에너지 효율성을 고려한 통합적 연구는 아직 초기단계에 있다. 본 논문에서는 자원효율적인 클러스터링 프로토콜과 다양한 통신방식에 적당한 키 관리 알고리즘을 결합하여 향후 민감한 데이터를 처리하는 센서네트워크 시스템에 적용할 수 있는 통합적 프로토콜을 제안한다.

• 한국지능시스템학회논문지
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• 제13권6호
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• pp.679-685
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• 2003

지문의 중심점과 삼각점은 융선의 흐름이 급격히 변하는 부분에 생기는 부위를 지칭하는 것으로 중심점과 삼각점 주위의 융선의 변화를 관찰하면 중심점과 삼각점의 존재 여부를 추측할 수 있다. 융선의 전역적인 방향성분을 구한 후 같은 방향 성분끼리 군집화를 수행하면 군집화된 부분의 경계에 중심점과 삼각점이 형성되는 것을 관찰할 수 있으며, 궁상문, 솟은 궁상문, 좌제상문, 우제상문, 와상문등 크게 5종류로 분류되는 지문의 문양별 방향성문 군집화의 특성이 다르다는 것을 관찰할 수 있다. 본 논문에서는 삼각점을 획득하지 못한 지문을 이용하여 지문의 중심점을 구한 후 방향성분 군집화를 통하여 지문분류를 효과적으로 할 수 있는 방법을 제안하고 실험을 통하여 이를 증명한다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2005년도 춘계학술발표대회
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• pp.1461-1464
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• 2005

In contrast with conventional networks, mobile ad hoc networks usually do not provide online access to trusted authorities or to centralized servers, and they exhibit frequent partitioning due to link and node failures and node mobility. For these reasons, traditional security solutions that require online trusted authorities or certificate repositories, but those are not well-suited for securing ad hoc networks. Moreover, a fundamental issue of securing mobile ad hoc networks is to ensure mobile nodes can authenticate each other. Because of its strength and efficiency, public key and digital signature is an ideal mechanism to construct the authentication service. Although this is already mature in the internet application, providing public key based authentication is still very challenging in mobile ad hoc networks. In this paper I propose a secure public key authentication service based on clustering model and trust model to protect nodes from getting false public keys of the others efficiently when there are malicious nodes in the network.

• 한국IT서비스학회지
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• 제3권2호
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• pp.119-127
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• 2004

A mobile ad hoc network(MANET) is a network where a set of mobile devices communicate among themselves using wireless transmission without the support of a fixed network infrastructure. The use of wireless links makes MANET susceptible to attack. Eavesdroppers can access secret information, violating network confidentiality, and compromised nodes can launch attack from within a network. Therefore, the security for MANET depends on using the cryptographic key, which can make the network reliable. In addition, because MANET has a lot of mobile devices, the authentication scheme utilizing only the symmetric key cryptography can not support a wide range of device authentication. Thereby, PKI based device authentication technique in the Ad Hoc network is essential and the paper will utilize the concept of PKI. Especially, this paper is focused on the key management technique of PKI technologies that can offer the advantage of the key distribution, authentication, and non-reputation, and the issuing and managing technique of certificates based on clustering using Threshold Cryptography for secure communication in MANET.

• 한국통신학회논문지
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• 제37B권12호
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• pp.1160-1167
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• 2012

네트워크 트래픽 모니터링에 있어서 트래픽을 사용하는 목적을 알아내는 것은 서비스 품질, 방화벽의 동작, 보안 측면에 있어서 중요한 이슈가 되고 있다. 트래픽을 사용하는 목적을 알게 되면 이를 방화벽에서 거부하거나 허용할 수 있고 이는 서비스 품질, 보안적 측면에서 효과적인 운용이 가능해진다. 하지만 수많은 어플리케이션은 보안이나 서비스 측면에서 트래픽을 암호화시키고 있어 효과적인 트래픽 모니터링이 어렵다. 본 논문에서는 암호화된 트래픽을 사용하는 SSH(Secure Shell) 프로토콜을 분석하고 SSH 터널링, SFTP(SSH File Transfer Protocol)와 일반 SSH 트래픽의 차이점을 분석하고 식별할 수 있는 방법을 제시하고 실험을 통해 검증했다.

• 한국컴퓨터정보학회논문지
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• 제15권2호
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• pp.127-134
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• 2010

연속 어휘 인식 확률 분포의 공유 방법에서는 사용될 모델 파라미터들의 초기 추정치를 생성하기 위한 각 문맥들에 대한 음소 데이터가 반드시 필요하지만 이들 음소 데이터에 대한 모델을 구성할 수 없는 단점으로 가우시안 모델의 정확성을 확보하지 못한다는 단점이 있다. 이를 개선하기 위하여 확률 분포의 혼합 가우시안 모델을 최적화하고, 음소 단위로 데이터를 탐색을 지원하는 형상 형성 시스템을 제안한다. 본 논문의 형상 형성 시스템은 확장 facet 분류를 이용하여 사용자에게 음소 단위의 형상 형성 정보를 제공하므로 가우시안 모델의 정확성을 제공한다. 본 논문에서 제안한 시스템을 적용한 결과 시스템 성능에서 어휘 종속 인식률은 98.31%, 어휘 독립 인식률은 97.63%의 인식률을 나타내었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1448-1463
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• 2021

With the continuous development of cloud storage, plenty of redundant data exists in cloud storage, especially multimedia data such as images and videos. Data deduplication is a data reduction technology that significantly reduces storage requirements and increases bandwidth efficiency. To ensure data security, users typically encrypt data before uploading it. However, there is a contradiction between data encryption and deduplication. Existing deduplication methods for regular files cannot be applied to image deduplication because images need to be detected based on visual content. In this paper, we propose a secure image deduplication scheme based on hashing and clustering, which combines a novel perceptual hash algorithm based on Local Binary Pattern. In this scheme, the hash value of the image is used as the fingerprint to perform deduplication, and the image is transmitted in an encrypted form. Images are clustered to reduce the time complexity of deduplication. The proposed scheme can ensure the security of images and improve deduplication accuracy. The comparison with other image deduplication schemes demonstrates that our scheme has somewhat better performance.