2016 6th International Conference on Information Communication and Management (ICICM)最新文献

{"title":"Enhancing case-based reasoning retrieval using classification based on associations","authors":"Ahmed Aljuboori","doi":"10.1109/INFOCOMAN.2016.7784214","DOIUrl":"https://doi.org/10.1109/INFOCOMAN.2016.7784214","url":null,"abstract":"The aim of this paper was to perform an extension of (CBRAR) strategy, Case-Based Reasoning using Association Rules to enhance the performance of the Similarity Base Retrieval SBR. FP-CAR classed frequent pattern tree algorithms are used in order to select correctly retrieved cases in Case-Based Reasoning (CBR). Class Association Rules (CARs) are utilized to generate an optimum FP-tree which holds a value of each node. The potential benefit offered is that more efficient results can be obtained when the retrieval phase returns uncertain answers. A comparison of CBR Query with FP-CAR is performed as patterns in order to identify the longest length nodes of the voted class. If the patterns are matched, the proposed CBRAR can choose the most similar and correct case. The experimental evaluation on a real dataset shows that the proposed CBRAR is a superior approach when likened to the accuracy of the CBR systems used in this investigation.","PeriodicalId":268061,"journal":{"name":"2016 6th International Conference on Information Communication and Management (ICICM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125059334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Controller placement methods analysis","authors":"J. Hollinghurst, A. Ganesh, T. Baugé","doi":"10.1109/INFOCOMAN.2016.7784250","DOIUrl":"https://doi.org/10.1109/INFOCOMAN.2016.7784250","url":null,"abstract":"Software-Defined Networking (SDN) offers flexibility and programmability to the network infrastructure through the introduction of a controller. However, the controller introduces extra delay into the system as new data flows must query the controller for instructions of how to route traffic. This becomes an increasing problem for large scale and delay sensitive networks such as those found in high-criticality infrastructure. The delay introduced can be minimised by optimal placement of the controller or decreased further by introducing additional controllers. Although the problem of optimal placement for multiple controllers is known to be NP hard, approximations can be used. The analysis of four different methods has therefore been conducted and looks at the scalability, through the lens of complexity. It is found the four methods, full search, linear programming, local search and an adapted version of the k-means++ algorithm, vary significantly in their complexity. It is also found that the accuracy of the methods varies with the complexity, creating a definitive trade-off between the two attributes.","PeriodicalId":268061,"journal":{"name":"2016 6th International Conference on Information Communication and Management (ICICM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125798717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance of grey level statistic features versus Gabor wavelet for screening MRI brain tumors: A comparative study","authors":"A. M. Hasan, F. Meziane, H. Jalab","doi":"10.1109/INFOCOMAN.2016.7784230","DOIUrl":"https://doi.org/10.1109/INFOCOMAN.2016.7784230","url":null,"abstract":"Medical imaging technologies have an important role in the care of all human's organs and disease entities, where they are used widely for the effective diagnosis, treatment and monitoring of the disease. The MRI has been among the most important of all these technologies in the care of patients with brain tumors, where the brain tumor is the one of the most common diseases that cause the death. Screening of brain tumors is an essential to significant improvements in the diagnose and reduce the incidence of death, it can only be as successful as the feature extraction techniques it relies on. Many of these techniques have been used, but it is still not exactly clear which of feature extraction techniques ought to be favored. In this paper, we present here the results of a study in which we compare the proficiency of utilizing grey level statistic method and Gabor wavelet method in detecting and recognizing MRI brain abnormality. The framework that serves as our testbed includes med-sagittal plane detection and correction, feature extraction, feature selection, and lastly classification and comparison.","PeriodicalId":268061,"journal":{"name":"2016 6th International Conference on Information Communication and Management (ICICM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115447122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wavelet based image steganographic system using chaotic signals","authors":"Hikmat N. Abdullah, Sura F. Yousif, A. Valenzuela","doi":"10.1109/INFOCOMAN.2016.7784229","DOIUrl":"https://doi.org/10.1109/INFOCOMAN.2016.7784229","url":null,"abstract":"The main requirements of efficient steganographic systems are transparency, robustness and security. In this work, the proposed system is designed to achieve these requirements, as follows: to increase the transparency and robustness, the proposed system uses the transform domain technique, in this case the wavelet domain technique to embed the color secret image into the color cover image. To achieve high security, chaotic systems are used to accomplish the following two purposes: firstly to scramble the secret color image before hiding it into the color cover image, secondly to randomly select the embedding positions in the cover image. Three chaotic systems with many combinations are used for the scrambling and the embedding process. Experimental results including Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Correlation, Signal to Noise Ratio (SNR) and embedding capacity demonstrate that the proposed system has good performance as compared with other existing methods without attack and under different types of attacks such as filtering and noise attacks. Simulation results show that the combination of chaotic systems providing the best performance include the use of Logistic and Hénon maps for the embedding process and Arnold's cat map for the encryption process. The MSE, PSNR, correlation, SNR and embedding capacity obtained in this case reach up to 0.0010, 78.1dB, 0.9999, 67.2dB and 0.39% respectively when the secret image is Airplane with 32×32 pixels and the cover image is Girl with 512×512 pixels. For the extracted secret image, the chaotic system set that provides the best performance includes the use of Arnold's cat map for the encryption process. The MSE, PSNR, correlation and SNR obtained in this case reach up to 0.0846, 58.9dB, 1 and 56.1dB respectively. As compared with other methods, the proposed method achieves gains without any attack of 8.2dB for the stego image and 32.4dB for the extracted secret image in PSNR when the secret image is Airplane with 256×256 pixels and the cover image is Girl with 512×512 pixels.","PeriodicalId":268061,"journal":{"name":"2016 6th International Conference on Information Communication and Management (ICICM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122988538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new energy-efficient clustering protocol for wireless sensor networks based on Network Function Virtualisation (NFV)","authors":"R. Al-Nuaimi, A. Al-Yasiri","doi":"10.1109/INFOCOMAN.2016.7784236","DOIUrl":"https://doi.org/10.1109/INFOCOMAN.2016.7784236","url":null,"abstract":"In wireless sensor networks, minimising energy consumption is the most important challenge that should be considered in their design. Routing consumes a considerable amount of energy in the communication to perform various functions such as clustering and neighbourhood discovery; therefore reducing the number of communications should be one of the objectives in the design of energy-efficient protocols. In this paper, a new virtualised clustering routing protocol, based on the Low Energy Adaptive Clustering Hierarchy Protocol (LEACH) and Network Function Virtualisation (NFV) techniques, was developed and analysed to improve the energy efficiency of the network and maximise the network's lifetime. To calculate the amount of consumed energy for each node in the network, an analytical model was developed to be used by a cloud-based server to estimate the energy that will be consumed in the proposed protocol. Analysis using the developed model showed that the new protocol could achieve an improvement in the network lifetime by reducing the number of communication messages and thus will minimise the sensor nodes' energy consumption compared with the conventional LEACH protocol.","PeriodicalId":268061,"journal":{"name":"2016 6th International Conference on Information Communication and Management (ICICM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132402063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Security for wireless sensor network","authors":"Sanaa S. Abd El dayem, M. Rizk, M. A. Mokhtar","doi":"10.1109/INFOCOMAN.2016.7784237","DOIUrl":"https://doi.org/10.1109/INFOCOMAN.2016.7784237","url":null,"abstract":"Security of wireless sensor networks plays an essential role in the application they used. Due to resource limitations of sensor node, such as energy supply and memory size, pairwise keys establishment between nodes are considered a difficult problem. This paper proposes a simple shared key discovery between sensor nodes in very clear steps. The authentication protocol provides both message and entity authentication. The work assumes dynamic wireless sensor network with flat structure. The performance of the proposed protocol will be shown in terms of message size, energy cost, and security requirements achieved.","PeriodicalId":268061,"journal":{"name":"2016 6th International Conference on Information Communication and Management (ICICM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116882815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A two-level cooperative clustering scheme for vehicular communications","authors":"Jose Angel Leon Calvo, R. Mathar","doi":"10.1109/INFOCOMAN.2016.7784244","DOIUrl":"https://doi.org/10.1109/INFOCOMAN.2016.7784244","url":null,"abstract":"A two-level cooperative network scheme for vehicular communications is proposed in this paper. The network architecture consists on a set of deployed RoadSide Units (RSU) based on the expected density of nodes in the network whereas these nodes are organized as a vehicular ad-hoc network. The position of the RSUs is obtained using the k-means algorithm along with the gap statistic to obtain the optimal number of base stations. The nodes are clustered using spectral clustering based on the geographical position and dynamics of each node, subject to their predictable and highly correlated behavior with the environment. The head-cluster is chosen using concepts of coalitional games in order to extend the stability of the cluster. Additionally, using the beacons sent by the head-cluster to the RSU, a prediction in the dynamic behavior of the clustered nodes is achieved. The RSUs are interconnected using LTE links to provide a cooperative scheme, granting an optimal selection of the head-cluster, and prolonging its lifetime. Finally, the proposed two-level network scheme along with the clustering prediction method are analyzed and compared with the commonly used clustering techniques in a real scenario. The simulation results show the positive impact of the cooperative scheme developed predicting the movement of the clusters.","PeriodicalId":268061,"journal":{"name":"2016 6th International Conference on Information Communication and Management (ICICM)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123405938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of an energy interoperation conformance test system using TTCN-3","authors":"Taein Hwang, Ilwoo Lee","doi":"10.1109/INFOCOMAN.2016.7784251","DOIUrl":"https://doi.org/10.1109/INFOCOMAN.2016.7784251","url":null,"abstract":"We designed a system for Energy Interoperation conformance testing between an energy market and market participants based on TTCN-3. First, emerging energy markets for power trading are described. The previous works and the standards related to conformance testing of smart grid communication interfaces are introduced. After a brief overview of TTCN-3 standards published by ETSI, the functional architecture of TTCN-3 based EI conformance test system are designed. After showing its operation sequence and communication protocols, we summarize our works.","PeriodicalId":268061,"journal":{"name":"2016 6th International Conference on Information Communication and Management (ICICM)","volume":"572 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130391345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A hybrid intelligent approach for optimising software-defined networks performance","authors":"A. Sabeeh, Yousif Al-Dunainawi, M. Abbod, H. Al-Raweshidy","doi":"10.1109/INFOCOMAN.2016.7784213","DOIUrl":"https://doi.org/10.1109/INFOCOMAN.2016.7784213","url":null,"abstract":"A new hybrid intelligent approach for optimising the performance of Software-Defined Networks (SDN), based on heuristic optimisation methods integrated with neural network paradigm, is presented. Evolutionary Optimisation techniques, such as Particle Swarm Optimisation (PSO) and Genetic Algorithms (GA), are employed to find the best set of inputs that give the maximum performance of an SDN. The Neural Network model is trained and applied as an approximator of SDN behaviour. An analytical investigation has been conducted to distinguish the optimal optimisation approach based on SDN performance as an objective function as well as the computational time. After getting the general model of the Neural Network through testing it with unseen data, this model has been implemented with PSO and GA to find the best performance of SDN. The PSO approach combined with SDN, represented by ANN, is identified as a comparatively better configuration regarding its performance index as well as its computational efficiency.","PeriodicalId":268061,"journal":{"name":"2016 6th International Conference on Information Communication and Management (ICICM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129146174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"NetFPGA based IEEE 1588 module for time-synchronized software-defined networking","authors":"Steven S. W. Lee, Ting-Wei Lee, Kuang-Yi Li","doi":"10.1109/INFOCOMAN.2016.7784253","DOIUrl":"https://doi.org/10.1109/INFOCOMAN.2016.7784253","url":null,"abstract":"Software Defined Networking (SDN) is an emerging technology to enhance flexible control on networks through abstraction of lower-level switch functionality. Recently using SDN to construct mobile backhaul networks has attracted a lot of attention. Although IEEE has defined IEEE 1588 Precision Time Protocol (PTP) for providing accurate time synchronization in Ethernet networks, how to distribute accurate time in SDN to facilitate synchronization among wireless base stations is still not clear. In this paper, we present an implementation of a NetFPGA based PTP module to support time-synchronized SDN. The PTP module can be embedded inside an SDN switch or can be placed as an external add-on module to an SDN switch. Both solutions can turn a PTP unaware switch into PTP aware. In our system, an SDN controller can configure the PTP module to determine the routing paths for clock distribution. We have developed a frequency compensation circuit to increase the accuracy. In addition, a moving average technique is applied to stabilize the clock output. Experimental results show that our NetFPGA based SDN switch can provide accurate clock distribution with maximum 50 nsec deviation along a three-hop path over 1 hour measurement. The performance of the proposed PTP switch can meet the microsecond-level requirement for time synchronization in cellular wireless networks.","PeriodicalId":268061,"journal":{"name":"2016 6th International Conference on Information Communication and Management (ICICM)","volume":"40 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121176201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}