Earticle

이동 노드는 임의로 이동을 하며, 라우터와 호스트 기능을 동시에 수행해야 한다. 노드들의 이러한 특성은 다양한 공격의 잠재적 위협 요소가 되고 있다. 특히 그중에서도 악의적인 노드가 패킷 손실을 유발시키는 블랙 홀 공격은 가장중요한 문제 중에 하나이다. 본 논문에서는 블랙 홀 공격의 효율적인 탐지를 위하여 모든 노드에서 감시 테이블을 이용한 분산적 탐지와 클러스터를 기반으로 한 협업 탐지 기법을 제안하였다. 제안하는 기법에서는 공격 탐지의 정확도를향상시키기 위하여 4단계의 과정으로 이루어진 로컬 탐지와 협업 탐지 과정으로 나누어 수행한다. 협업 탐지를 위해 클러스터 헤드는 블랙 홀 리스트를 이용하였다. Ns-2 시뮬레이터를 이용하여 제안한 기법의 성능을 평가하였으며, 실험결과에서 제안한 기법의 우수한 성능을 확인할 수 있었다.

Mobile node must move optionally and perform the router and the host functions at the same time. Thesecharacteristics of nodes have become a potential threatening element of a variety of attacks. In particular, a blackhole which malicious node causes packet loss among them is one of the most important issues. In this paper, wepropose distributed detection technique using monitoring tables in all node and cooperative detection techniquebased cluster for an efficient detection of black hole attack. The proposed technique performs by dividing into localdetection and cooperative detection process which is composed of process of step 4 in order to improve theaccuracy of the attack detection. Cluster head uses a black hole list to cooperative detection. The performance ofthe proposed technique was evaluated using ns-2 simulator and its excellent performance could be confirmed in theexperiment result.

Wireless Ad hoc Network의 개방된 구조, 동적인 토폴로지, 인프라스트럭처의 부재와 같은 특징은 많은 유형의 공 격으로부터 위협받고 있다. 특히 네트워크 내부에 존재하는 악의적인 노드의 공격은 통신 경로의 파괴나 패킷 폐기 등 이 이루어지고 그 피해는 상당히 크고 공격 탐지도 어렵다. 본 논문에서는 내부 공격 노드들의 효율적인 탐지와 예방을 위하여 보안 인증 구조를 이용한 공격 탐지 기법을 제안하였다. 제안한 기법에서는 각 노드들에 대한 인증기관 역할을 수행할 수 있도록 클러스터 구조를 이용하였으며, 클러스터 헤드에서 노드들에 대한 신뢰 평가를 통해 공개키를 발급해 주게 된다. 노드들 간의 데이터 무결성을 위해 대칭키를 공유하고, RREQ 패킷에 인증 메시지를 추가하는 구조를 이용 하였다. 제안한 기법의 성능 평가를 위해 ns-2 시뮬레이터를 이용하였으며, 실험을 통해 제안한 기법의 우수한 성능을 확인할 수 있었다.

Wireless Ad hoc Network is threatened from many types of attacks because of its open structure, dynamic topology and the absence of infrastructure. Attacks by malicious nodes inside the network destroy communication path and discard packet. The damage is quite large and detecting attacks are difficult. In this paper, we proposed attack detection technique using secure authentication infrastructure for efficient detection and prevention of internal attack nodes. Cluster structure is used in the proposed method so that each nodes act as a certificate authority and the public key is issued in cluster head through trust evaluation of nodes. Symmetric Key is shared for integrity of data between the nodes and the structure which adds authentication message to the RREQ packet is used. ns-2 simulator is used to evaluate performance of proposed method and excellent performance can be performed through the experiment.

Ad Hoc network is a special wireless network, mainly because the nodes are no control center, the topology is flexible, and the networking could be established quickly, which results the transmission stability is lower than other types of networks. In order to guarantee the transmission of data packets in the network effectively, an improved Queue Ad Hoc On-demand Distance Vector Routing protocol (Q-AODV) for node detection by using blockchain technology is proposed. In the route search process. Firstly, according to the node's daily communication record the cluster is formed by the source node using the smart contract and gradually extends to the path detection. Then the best optional path nodes are chained in the form of Merkle tree. Finally, the best path is chosen on the blockchain. Simulation experiments show that the stability of Q-AODV protocol is higher than the AODV protocol or the Dynamic Source Routing (DSR) protocol.

Game theory has been regarded as a useful theoretical tool for modeling the interactions between distinct entities and thus it has been harnessed in various research field. In particular, research attention has been shown to how to apply game theory to modeling the interactions between malign and benign entities in the field of wireless networks. Although various game theoretic modeling work have been proposed in the field of wireless networks, our proposed work is disparate to the existing work in the sense that we focus on mobile malign node detection problem in static wireless sensor networks. More specifically, we propose a Bayesian game theoretic modeling for mobile malign node detection problem in static wireless sensor networks. In our modeling, we formulate a two-player static Bayesian game with imperfect information such that player 1 is aware of the type of player 2, but player 2 is not aware of the type of player 1. We use four strategies in our static Bayesian game. We obtain Bayesian Nash Equilibria with pure strategies under certain conditions.

Non-invasive detection of lymph node metastasis is an extremely important medical procedure mandatory for the determination of the most relevant clinical intervention for individual cancer patients. Nonetheless, lymph node biopsy remains the current gold-standard for this procedure, which is highly invasive. To address this urgent clinical issue, this study has explored the potential utility of Fe-phytate complex as a novel magnetic resonance imaging (MRI) contrast agent for non-invasive metastatic lymph node imaging. The proposed parent compound, phytate, has already proven to be clinical applications in the form of 99Tc-phytate for the mapping of various types of cancer patients, and MRI is a well-known, safe imaging modality free of ionizing radiation. The efficacy of the Fe-phytate complex in non-invasive metastatic lymph node imaging was tested in a mouse model of melanoma for lymph node metastases. The isothermal titration calorimeter (ITC) analyses for the thermodynamic property of Fe-phytate clearly suggested that the proposed contrast agent is biologically safe and clinically applicable for the detection of metastatic lymph node in cancer patients. All MRI experiments were performed on a 9.4 T Bruker animal MR scanner. For histopathological analyses, tissue sections were examined with hematoxylin and eosin (H&E) staining, analyzed for tumor metastases of lymph nodes with fluorescence microscopy, and stained with Prussian blue to examine the biodistribution of Fe-phytate particles. The results strongly suggested that Fe-phytate complex can detect metastatic lymph node by MRI in the mice model of melanoma, that the potential applicability of the proposed contrast agent to different cancer models.

Botnet is most widespread and occurs commonly in today's cyber attacks and they become one of the most serious threats on the Internet. Most of the existing Botnet detection approaches concentrate only on particular Botnet command and control (C&C) protocols and structures, and can become ineffective as Botnets change their structure and C&C techniques. In this paper, we proposed a new general detection strategy. This proposed strategy was based on degree distributions of node and anomaly net flows, and combined data mining technology. In this scheme, we first constructed accurate traffic profile based on packet behavioral mode, and then introduced dialog flow to draw traffic profile of node. Finally we set up degree distributions of node and group and applied the degree distributions of node as input of data mining, which were then classified and distinguished to obtain reliable results with acceptable accuracy. The advantages of our proposed detection method is that there is no need for prior knowledge of Botnets such as Botnet signature and the accuracy of the experiment results is as much as 99%. The FP rate and the FN rate can be controlled within 3%, the best is almost 0.

본 논문은 무선 센서 네트워크의 경계노드를 효과적으로 검출하는 알고리즘을 제안한다. 경계노드는 센서 네트 워크의 외부 경계 또는 홀의 경계에 존재하는 센서이다. 제안한 알고리즘은 센서의 위치정보만을 이용하여 네트워크 의 경계노드를 검출한다. 또한 검출 속도를 향상시키기 위해 센서는 거리에 따라 근접한 센서와의 중첩영역을 먼저 계산한다. 알고리즘의 동작을 검증하기 위해 시뮬레이션을 수행하였다. 시뮬레이션에서 현실 세계를 최대한 반영하기 위해 정해진 영역에 여러 개의 장애물을 설치하고 센서의 개수를 500∼1500개 범위에서 다르게 배치하였다. 시뮬레 이션을 통하여 제안한 알고리즘이 네트워크 외부 및 홀의 경계에 존재하는 경계노드들을 효과적으로 검출하는 것을 확인하였다.

This paper proposed an algorithm that detects boundary nodes effectively in wireless sensor network. A boundary node is a sensor that lies on the border of network holes or the outer boundary of wireless sensor network. Proposed algorithm detects boundary nodes using only the position information of sensors. In addition, to improve detect performance, sensor computes the overlap area of nearest sensor first. Simulation is performed to validate the process of the proposed algorithm. In Simulation, several obstacles are placed and varying number of sensors in the range of 500∼1500 are deployed in the area in order to reflect real world. The simulation results shows that proposed algorithm detects boundary nodes effectively that are located on the border of holes and the outer boundary of wireless sensor network.

본 논문은 단일 링크드 리스트의 사이클을 검출하는데 특화된 Floyd의 거북이와 토끼 경주법이 다중 입력, 다중 출력을 갖는 무 방향 그래프, 방향 그래프, 트리 등에 대해서는 사이클 검출 실패의 단점을 보완한 알고리즘을 제안하였 다. 제안된 알고리즘은 단순히 단일 간선을 갖는 원천(source)과 싱크(sink)를 가지치기하는 단일 간선 노드 전정 사이 클 검출 방법을 적용하였다. 제안된 알고리즘을 다양한 리스트, 무 방향 그래프, 방향 그래프, 트리 등에 적용한 결과 모든 경우에 대해 사이클을 검출하는데 성공하였다. 따라서 제안된 알고리즘은 사이클 검출 분야에서 가장 단순하고 빠 른 장점을 갖고 있다.

This paper proposes an algorithm that remedy Floyd’s the tortoise and the hare algorithm (THA) shortcomings which is specialized in singly linked list (SLL), so this algorithm fails to detect the cycle in undirected graph, digraph, and tree with multiple inputs or outputs. The proposed algorithm simply pruning the source and sink with only one edge using cycle detection of single edge node pruning. As a result of the experimental of various list, undirected graph, digraph, and tree, the proposed algorithm can be successively detect the cycle all of them. Thus, the proposed algorithm has the simplest and fastest advantage in the field of cycle detection.

ObjectiveThe authors present a surgical film for vulvar cancer surgery, which was performed via video endoscopy. MethodsAn 88-yearold woman with squamous cell carcinoma of the vulva and who underwent radical vulvectomy was treatedwith sentinel lymph node (SLN) and bilateral inguinofemoral lymphadenectomy, which is preferably performed viavideo endoscopic surgery with a near-infrared fluorescence video endoscopy system. SLN mapping was performedusing indocyanine green and near-infrared fluorescence mapping. ResultsSLNs were detected in the left superficial inguinal area. The surgeons performed bilateral inguinofemoral lymphadenectomy. ConclusionNo postoperative early or late complications developed, and the patient was discharged 7 days after surgery. Stage 1Bvulvar cancer was identified.

무선 센서망은 위험이 존재하는 환경에서 공공 기관이나 군사적 목적의 신뢰성 있는 모니터링을 위한 수단으로 사용되어 왔다. 위험 상황이나 위험 물질이 존재하는 환경에서 사용된다는 특성 때문에, 망의 수명이 기존 무선망에서보다 더욱 중요한 성능 요소로 간주된다. 망 전체의 수명을 결정짓는 주요 요소 중 하나는 수명을 다하는 최초의 노드가 얼마나 이른 시간에 나타나느냐 하는 것이고, 이 최초의 노드는 망에 존재하는 병목 노드일 확률이 높다. 무선망의 병목 노드를 찾아내기 위한 방법으로 MINCUT 알고리즘이 대표적이나, 이는 중앙 집중형 방법이어서 많은 수의 노드로 이루어진 무선 센서망에는 적합하지 않다. 본 논문에서는 알고리즘의 계산 복잡도를 낮추어 매우 짧은 시간 내에 병목 노드를 탐지해 내는 분산형 방법을 제안한다. 수학적 분석과 실험을 통해 제안된 알고리즘이 기존 방법보다 훨신 향상된 성능을 보임을 확인할 수 있다.

Wireless sensor networks (WSNs) have been considered as a promising method for reliably monitoring both civil and military environments under hazardous or dangerous conditions. Due to the special property and difference from the traditional wireless network, the lifetime of the whole network is the most important aspect. The bottleneck nodes widely exist in WSNs and lead to decrease the lifetime of the whole network. In order to find out the bottleneck nodes, the traditional centralized bottleneck detection method MINCUT has been proposed as a solution for WSNs. However they are impractical for the networks that have a huge number of nodes. This paper first proposes a distributed algorithm called DBND (Distributed Bottleneck Node detection) that can reduce the time for location information collection, lower the algorithm complexity and find out the bottleneck nodes quickly. We also give two simple suggestions of how to solve the bottleneck problem. The simulation results and analysis show that our algorithm achieves much better performance and our solutions can relax the bottleneck problem, resulting in the prolonging of the network lifetime.

Purpose: Ultrasound (US) and US-guided fine needle aspiration biopsies (FNAB) are considered the modalities of choice for assessing lymph nodes suspected of containing metastases, but the sensitivity of FNAB varies and is specific to the operator. We analyzed the risk of FNAB providing false negative results of lateral neck node metastasis, and evaluated diagnostic accuracy of FNAB, in patients with papillary thyroid cancer. Materials and Methods: FNAB was performed in 242 patients suspected of having lateral neck node metastasis on preoperative imaging. Thyroglobulin in the fine-needle aspirate washout (FNA wash-out Tg) and computed tomography enhancement (Hounsfield units) were measured. Patients with negative results on FNAB were examined by intraoperative frozen section. The false negative and true negative groups were compared. Results: Of the 242 patients, 130 were confirmed as having lateral neck node metastases. In 74 patients,the metastasis was identified by FNAB. False positive results were observed in 2 patients (0.8%) and false negatives in 58 (44.6%). Risk analysis showed that patient age <45 years (p=0.006), tumor size >1 cm (p=0.008) and elevated FNA wash-out Tg (p=0.004) were significantly associated with false negative results on FNAB. The accuracy of FNAB increased significantly when combined with FNA wash-out Tg (p=0.003). Conclusion: To reduce the false negative rate of FNAB, patient age (<45 years), tumor size (>1 cm) and FNA wash-out Tg (>34.8 ng/mL) should be considered in preoperative planning. Accuracy may be improved by combining the results of FNAB and FNA wash-out Tg.

Purpose The purpose of this study was to investigate the value of $^{18}F$-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) parameters in the detection of regional lymph node (LN) metastasis in patients with cutaneous melanoma. Methods We evaluated patients with cutaneous melanoma who underwent FDG PET/CT for initial staging or recurrence evaluation. A total of 103 patients were enrolled, and 165 LNs were evaluated. LNs that were confirmed pathologically or by follow-up imaging were included in this study. PET parameters, including maximum standardized uptake value (SUVmax), total lesion glycolysis and tumour-to-liver ratio, were used to determine the presence of metastases, and the results were compared with CT-determined LN metastasis. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cut-off values of the FDG PET parameters. Results A total of 93 LNs were malignant, and 84 LNs were smaller than 10 mm. In all 165 LNs, an SUVmax of >2.51 showed a sensitivity of 73.1%, a specificity of 88.9%, and an accuracy of 80.0% in detecting metastatic LNs. CT showed a higher specificity (87.3%) and lower accuracy (65.5%). For non-enlarged regional LNs (<10 mm), an SUVmax cut-off value of 1.4 showed the highest negative predictive value (81.3%). For enlarged LNs (${\geq}10mm$), an SUVmax cut-off value of 2.4 showed the highest sensitivity (90.7%) and accuracy (88.9%) in detecting metastatic LNs. Conclusions In patients with cutaneous melanoma, an SUVmax of >2.4 showed a high sensitivity (91%) and accuracy (89%) in detecting metastasis in LNs ${\geq}1cm$, and LNs <1 cm with an SUVmax <1.4 were likely to be benign.

Purpose: Assessing lymph node metastasis, tumor-derived DNA, or tumor-derived RNA has previously been studied in place of immunohistochemical assay. Because a direct reverse transcription loop-mediated isothermal amplification method (direct RT-LAMP) has been previously developed in order to rapidly identify viruses in place of RNA extraction, our team hypothesized that a direct RT-LAMP assay can be employed as a substitute in order to detect tumor involvement of lymph nodes within breast cancer patients. Materials and methods: A total amount of 92 lymph nodes removed across 40 patients possessing breast cancer were collected at Kyungpook National University Chilgok Hospital between the months of November 2015 and February 2016. All samples were then evaluated and contrasted via both a direct RT-LAMP assay and routine histopathologic examination. Results: The sensitivity and specificity of the direct RT-LAMP assay were 85.7% and 100%, respectively. The positive predictive value and negative predictive value were 100% and 94.4%, respectively. Conclusion: Direct RT-LAMP assay is capable of facilitating the detection of sentinel lymph node metastasis within breast cancer patients intraoperatively possessing an excellent sensitivity via a cost-effective and time-saving manner.

Tuberculin positive cattle without gross tubercle lesions should be confirmed by the bacteriological examination to determine the state of the infection. To overcome the time-consuming and laborious identification by culture and biochemical tests, polymerase chain reaction (PCR) has been used to identify Mycobacterium bovis. Due to various lipids in the cell wall of Mycobacterium spp, novel methods of DNA extraction from Mycobacterium spp have been developed. In this study, a newly developed guanidium isothiocyanate/silica DNA extraction method was directly applied to specimens from the tuberculin positive cattle. DNAs were directly extracted from the lymph nodes and the major polymorphic tandem repeat (MPTR) and mycobacterial protein of BCG 70 (MPB70) were amplified using PCR. The DNA extraction method using guanidium isothiocyanate/silica was efficient and safe, and the MPTR and MPB70 primers were specific to M bovis. Therefore, MPTR and MPB70 PCRs will be useful for the detection of M bovis in the lymph node from skin-test positive cattle.

Background: Methylation of promoter 2 of the SHP1 gene is epithelial cell specific, with reported potential as a lymph node metastatic marker. Objective: To demonstrate SHP1-P2 methylation-specific quantitative PCR effectiveness in detecting colorectal cancer (CRC) DNA in lymph nodes. Materials and Methods: SHP1-P2 methylation levels were measured in lymph nodes of CRC patients and compared with pathological findings and patient prognosis. Results: Lymph nodes of CRC metastatic patients without microscopically detectable cancer cells had higher SHP1-P2 methylation levels than lymph nodes of controls (p<0.001). In addition, a higher SHP1-P2 methylation level was associated with a shorter duration until adverse disease events, metastasis, recurrence and death (r2 = 0.236 and p value = 0.048). Studying two cohorts of 74 CRC patients without microscopic lymph node metastases showed that only the cohort containing samples with high SHP1-P2 methylation levels had a significant hazard ratio of 3.8 (95%CI = 1.02 to 14.2). Conclusions: SHP1-P2 methylation PCR can detect CRC DNA in lymph nodes even if cancer cells are not visible under a microscope, confirming applicability as a potential universal lymph node metastatic marker.

무선 Ad-Hoc 네트워크는 노드의 참여와 이탈이 자유롭고 토폴로지의 변화가 많아 악의적인 노드에 의해 데이터의 무결성 및 기밀성 문제와 같은 보안 위협에 노출되어 있다. 또한 악의적인 노드의 참여로 잘못된 라우팅 정보의 삽입을 통해 네트워크 분할이나 잘못된 정보전달 제공으로 노드의 통신장애를 유발할 수 있다. 그러나 현재 이와 같은 무선 Ad-Hoc 네트워크에서의 악의적인 노드를 발견하고 대응할 수 있는 연구가 부족하며, 기존의 악의적인 노드 탐지 기술들[11][12][13][14]은 정상적인 노드임에도 불구하고 거짓으로 신고했을 경우 인증절차 없이 경로를 재탐색하여 최적의 경로를 변경시킴으로서 정상적인 전송환경을 구축하지 못하는 문제점이 있다. 본 논문에서는 다중경로 기반의 보안경로 탐색기술[8]을 이용해 보안경로에 존재하는 중간노드들 사이에서 악의적인 노드를 발견한고, 검증된 최단경로를 통해 데이터전송을 하는 기법을 제안하고자 한다. 제안한 기법을 적용함으로써 노드에 대한 신고가 있을 때 확인과정을 거쳐 불필요하게 경로를 재탐색하는 과정을 줄일 수 있다.

무선 Ad-Hoc 네트워크는 노드의 참여와 이탈이 자유롭고 토폴로지의 변화가 많아 악의적인 노드에 의해 데이터의 무결성 및 기밀성 문제와 같은 보안 위협에 노출되어 있다. 또한 악의적인 노드의 참여로 잘못된 라우팅 정보의 삽입을 통해 네트워크 분할이나 잘못된 정보전달 제공으로 노드의 통신장애를 유발할 수 있다. 그러나 현재 이와 같은 무선 Ad-Hoc 네트워크에서의 악의적인 노드를 발견하고 대응할 수 있는 연구가 부족하며, 기존의 악의적인 노드 탐지 기술들[11][12][13][14]은 정상적인 노드임에도 불구하고 거짓으로 신고했을 경우 인증절차 없이 경로를 재탐색하여 최적의 경로를 변경시킴으로서 정상적인 전송환경을 구축하지 못하는 문제점이 있다. 본 논문에서는 다중경로 기반의 보안경로 탐색기술[8]을 이용해 보안경로에 존재하는 중간노드들 사이에서 악의적인 노드를 발견한고, 검증된 최단경로를 통해 데이터전송을 하는 기법을 제안하고자 한다. 제안한 기법을 적용함으로써 노드에 대한 신고가 있을 때 확인과정을 거쳐 불필요하게 경로를 재탐색하는 과정을 줄일 수 있다.

홈서비스를 위한 지그비 센서 네트워크는 특정 대상이나 환경으로부터 데이터를 수집하여 그 데이터를 정보 분석이나 서비스 결정 수단으로 이용하기 때문에 데이터수집 과정에서의 효과적인 보안이 요구되어 진다. 지그비 센서 네트워크에의 공격은 정상적인 홈서비스를 방해하여 사용자의 불편을 초래할 수 있다. 이 중 다중신원을 가지는 공격자 노드의 침입은 비정상적인 정보 수집을 초래하여 서비스에서의 잘못된 결정을 유발할 수 있다. 이 다중신원노드의 탐지를 위해 본 논문에서는 DMIN(Detection of Multiple ID Node)이란 기법을 제안한다. 이 기법은 일처리 능력이 제한되어 있는 하나의 센서노드가 여러 신원의 역할을 수행할 때에 생기는 지연시간을 이용하며 이 기법을 이용하여 네트워크의 다중신원노드를 탐지한다.