{"title":"An Attack Signatures Generation Sequence Alignment Algorithm Based on Production Rules","authors":"Muhan Xue, Wen Yu","doi":"10.1109/iccsn.2018.8488280","DOIUrl":"https://doi.org/10.1109/iccsn.2018.8488280","url":null,"abstract":"Aiming at the problem that the result of some attack sequence alignment methods is not necessarily the optimal expression of their characteristics. This paper presents a Production Rule Sequence Alignment Algorithm (PRSA) combining the production rule inference mechanism which improves traditional sequence alignment algorithm. A new accumulation of knowledge is obtained by changing the way of sequence alignment and the transformation of signatures. PRSA overcomes the problem that the extraction results produced by the traditional sequence alignment algorithm cannot express the attack signature accurately. Then, we establish an automatic attack signature generation model based on PRSA. The experimental results show that the matching results obtained by using PRSA can express the signatures of the attack accurately and improve the detection rate of the attacks.","PeriodicalId":243383,"journal":{"name":"2018 10th International Conference on Communication Software and Networks (ICCSN)","volume":"151 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120888368","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 Fast PM-Based DOA Estimation Method with Automatic Pairing","authors":"Weicong Tang, Licheng Liu, Yide Wang","doi":"10.1109/iccsn.2018.8488231","DOIUrl":"https://doi.org/10.1109/iccsn.2018.8488231","url":null,"abstract":"massive MIMO technology, considered as one of the fifth generation (5G) system candidates, has been more and more important in research. The direction of arrival (DOA) estimation is closely related with massive MIMO system. Hence, a precise and low computational method to estimate DOA of the signals is necessary. In this paper, we extended the signal model in a 2D problem with a plane antenna array and proposed an improvements of Propagator method (PM). Based on root MUSIC method, the angle parameter can be estimated by another angle parameter. It does not need to reconstruct the system model and achieve automatic pairing. So this method can reduce the computational complexity significantly and has well performance in low SNR condition.","PeriodicalId":243383,"journal":{"name":"2018 10th International Conference on Communication Software and Networks (ICCSN)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130606196","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":"Research On Power Battery Formation Production Scheduling Problem With Limited Waiting Time Constraints","authors":"Ning Zhou, Menghan Wu, Jianxin Zhou","doi":"10.1109/iccsn.2018.8488247","DOIUrl":"https://doi.org/10.1109/iccsn.2018.8488247","url":null,"abstract":"The formation production scheduling problem of power battery is a combinatorial optimization problem with limited waiting time constraints. The time of waiting for the start of the formation processing is limited after power batteries completed the high temperature standby processing. In this paper, to minimize the makespan and the minimum number of changes to machines production parameters, we proposed a scheduling model with waiting time constraints and put forward a particle swarm optimization algorithm based on the formation production scheduling. The validity of the proposed model and the algorithm were verified by the example-based numerical simulation and comparison with the current scheduling methods which commonly used on the production line.","PeriodicalId":243383,"journal":{"name":"2018 10th International Conference on Communication Software and Networks (ICCSN)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126768806","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}
Yuan Liang, Hang Hu, Lei Ni, Xinyu Da, Ruiyang Xu, Dong Zhai
{"title":"Narrowband Interference Suppression in a Spreading WFRFT System and Optimal Order Selection","authors":"Yuan Liang, Hang Hu, Lei Ni, Xinyu Da, Ruiyang Xu, Dong Zhai","doi":"10.1109/ICCSN.2018.8488238","DOIUrl":"https://doi.org/10.1109/ICCSN.2018.8488238","url":null,"abstract":"A spreading system based on weighted fractional Fourier transform (WFRFT) is proposed over the channel with additive white Gaussian noise (AWGN) and narrowband interference (NBI). The cross-correlation coefficient between pseudo-noise (PN) sequence and NBI (CPI) and the proposed system's bit error rate (BER) are deduced. We proved that the optimal WFRFT order can be obtained to achieve the best BER performance through minimization of CPI. Numerical results show that the optimal WFRFT order can reduce the adverse effect caused by NBI in different distribution states.","PeriodicalId":243383,"journal":{"name":"2018 10th International Conference on Communication Software and Networks (ICCSN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116911010","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":"DOPLE: A Double Protective Physical Layer Encryption Scheme for OFDM Systems","authors":"Shenghe Wang, Junxing Zhang","doi":"10.1109/iccsn.2018.8488254","DOIUrl":"https://doi.org/10.1109/iccsn.2018.8488254","url":null,"abstract":"In the era of wireless communication, the security of transmission, especially physical layer security, has become a big concern. In this paper, we propose an efficient physical layer encryption scheme for the OFDM based wireless systems. The scheme employs the time domain encryption to protect the entire physical layer frame in two steps. First, transmitted data in Presentation Protocol Data Unit (PPDU) is protected with an iterative encryption algorithm that can effectively deal with known plaintext and ciphertext attacks. Second, Long Training Sequence (LTS) is also encrypted to prevent the adversary from performing correct channel synchronization. We analyze the security of the proposed scheme under different attack scenarios, and evaluate the performance of our scheme with the simulation experiments.","PeriodicalId":243383,"journal":{"name":"2018 10th International Conference on Communication Software and Networks (ICCSN)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114845174","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 BP Equalization in Wireless Communication","authors":"Maoke Miao, H. Liang, Yiming Li, Xiaofeng Li","doi":"10.1109/iccsn.2018.8488326","DOIUrl":"https://doi.org/10.1109/iccsn.2018.8488326","url":null,"abstract":"Equalizer in communication system plays an important role for reducing ISI (inter-symbol-interference) which is caused by multi-path fading and Doppler shift. The author introduce BP neural network as an equalizer, one is the same as traditional adaptive LMS in methodology but having more complicated character in detail. Firstly, we study the performance in training sets and find LMS behave more rapid in convergence with lower percentage of error for our considering system. But as the taps (the number of input layer nodes) increasing, NNE (neural network equalizer) show more robust. Then, effects caused by number of nodes in input layer and hidden layer are studied by introducing overshoot zero line. We find that the hidden nodes are more susceptible to it. Finally, we simulate and compare the BER (bit error ratio) performance in different SNR, it shows that lower BER caused by NNE although one is inferior to LMS in training. Furthermore, a mathematic expression is derived both for NNE and LMS because of an approximately Iinearly relationship between BER performance with SNR in log-field.","PeriodicalId":243383,"journal":{"name":"2018 10th International Conference on Communication Software and Networks (ICCSN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123585985","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}
Sai Jiang, Qingqing Zhang, Aozhou Wu, Qingwen Liu, Jun Wu, Pengfei Xia
{"title":"A Low-Latency Reliable Transport Solution for Network-Connected UAV","authors":"Sai Jiang, Qingqing Zhang, Aozhou Wu, Qingwen Liu, Jun Wu, Pengfei Xia","doi":"10.1109/iccsn.2018.8488271","DOIUrl":"https://doi.org/10.1109/iccsn.2018.8488271","url":null,"abstract":"Existing Unmanned Aerial Vehicles (UAVs) mainly rely on the direct ground-to-UAV communications over the unlicensed spectrum, which can only operate within the visual line of sight. Integrating UAVs into cellular networks is a promising solution to extend the range but poses new challenges to the transport protocols. To ensure the flight safety, the transmission of UAV commands and missionrelated data is required to be reliable with low latency. In this paper, we propose a Low-latency Reliable Transmission (LRT) protocol by exploiting the rateless and online properties of online network coding. We design the LRT, implement it, and evaluate its performance in terms of the in-order per message delay. Experimental results show that LRT can provide lowlatency transmission service comparable to that of UDP while giving the same reliability of TCP, which makes it an attractive option for Network-Connected UAV applications.","PeriodicalId":243383,"journal":{"name":"2018 10th International Conference on Communication Software and Networks (ICCSN)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122699456","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}
N. Hao, H. Yonghong, Liu Fanghua, Wu Aixia, Ruan Ruo-lin, Mao Caixia
{"title":"Image Denoising Based on Online Dictionary Learning","authors":"N. Hao, H. Yonghong, Liu Fanghua, Wu Aixia, Ruan Ruo-lin, Mao Caixia","doi":"10.1109/iccsn.2018.8488268","DOIUrl":"https://doi.org/10.1109/iccsn.2018.8488268","url":null,"abstract":"Many state-of-the-art denoising algorithms often employ dictioanary learning methods to acquire the mapping relationship between the polluted image by noise and the original clean image. It is critical to generate the appropriate dictionary in image denoising based on dictionary learning. In order to promote the denoising efficiency, the proposed algorithm employs Online Dictionary Learning (ODL) to train the overcomplete dictionaries to make the dictionary more accurate. The dictionary updating procedure is improved with a warm start. The dictionary is updated by the last computed dictionary and the current input image patches. Hence the dictionary is more accurate to get better denoising images. In the experiments, the PSNR of ODL dictionary is 0.12dB higher than SCDL and 0.21dB higher than K-SVD in average. The proposed method can eliminate the artifacts and recover the texture details efficiently.","PeriodicalId":243383,"journal":{"name":"2018 10th International Conference on Communication Software and Networks (ICCSN)","volume":"377 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122863600","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}
Xinwei Wang, Dongmei Li, Shaobin Li, Lingxiao Dong, Shanzhen Lan
{"title":"Video Corner-Logo Recognition System And Matching Algorithm","authors":"Xinwei Wang, Dongmei Li, Shaobin Li, Lingxiao Dong, Shanzhen Lan","doi":"10.1109/iccsn.2018.8488272","DOIUrl":"https://doi.org/10.1109/iccsn.2018.8488272","url":null,"abstract":"Video corner-logo is widely used in television programs and online videos to provide video column information or advertising information in a variety of forms. Video corner-logo detection and recognition algorithm study is therefore getting more and more attention due to the practical needs. Effective detection and recognition algorithm is the key to corner-logo extraction and corner-logo information analyzation. In this paper, a whole framework and design flow of video corner-logo detection and recognition system are introduced. The design of video corner-logo recognition algorithm is discussed in details and analyzed. The special characteristics of corner-logo makes it difficult to detect, extract and recognize corner-logo. Aiming at this problem, this paper proposes an effective corner-logo recognition algorithm, SURF based color invariance and shape context algorithm. The algorithm calculates the color invariance information of the image, constructs the color descriptor, extracts the interest points of the image, at the same time, introduces shape feature descriptor of the shape context, combines the two kinds of feature descriptions into a new joint descriptor with optimal weight coefficient, and then the similarity is calculated by means of Euclidean distance to match the interest points. The experimental results show that this recognition system and matching algorithm can improve the image recognition accuracy and can recognize corner-logo effectively.","PeriodicalId":243383,"journal":{"name":"2018 10th International Conference on Communication Software and Networks (ICCSN)","volume":"44 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120991860","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":"Study on Audiometric Data Seamless Splicing of VTAMVDR-Based Trackable Targets","authors":"L. Haitao, Dai Weiguo, Wang Yichuan","doi":"10.1109/iccsn.2018.8488297","DOIUrl":"https://doi.org/10.1109/iccsn.2018.8488297","url":null,"abstract":"The audiometry of the signals of VTAMVDR trackable targets is studied. The process of the audiometric signals of VTAMVDR trackable targets is presented. Applying the linear proportional overlap-add method to acquiring audiometric signals output from vector linear array beams ensures the extracted signals are continuous data streams, solves the problems about splicing points in audiometry by use of VTAMVDR and retain the better detection performance of VTAMVDR.","PeriodicalId":243383,"journal":{"name":"2018 10th International Conference on Communication Software and Networks (ICCSN)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121107037","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}