China has started restructuring its telecom industry to promote more competition and clear the way for issuing 3G licenses china’s largest mobile communications company,China Mobile Communications Corp.,announced on ...China has started restructuring its telecom industry to promote more competition and clear the way for issuing 3G licenses china’s largest mobile communications company,China Mobile Communications Corp.,announced on May 23 that it would acquire China Railway Communication Co.Ltd.,also展开更多
We report the fabrication of an 8-meter-long thin-flm lithium niobate optical true delay line using the photolithography-assisted chemomechanical etching technique,showing a low transmission loss of 0.036 dB/cm in the...We report the fabrication of an 8-meter-long thin-flm lithium niobate optical true delay line using the photolithography-assisted chemomechanical etching technique,showing a low transmission loss of 0.036 dB/cm in the conventional telecom band.展开更多
随着高速发展的互联网和移动通信在业务层面的逐渐融合,国内运营商所采用的"封闭花园"模式的业务架构已经面临各种挑战,因此需要更多地考虑如何有效引入互联网业务和服务模式,不断提升用户体验。在电信运营商逐步开放其电信能...随着高速发展的互联网和移动通信在业务层面的逐渐融合,国内运营商所采用的"封闭花园"模式的业务架构已经面临各种挑战,因此需要更多地考虑如何有效引入互联网业务和服务模式,不断提升用户体验。在电信运营商逐步开放其电信能力API的背景下,基于Mashup的业务构建模式,提出了一种云计算环境下的电信网络能力服务提供模式。该模式将Mashup的理念移植到电信能力上,并将电信能力封装成Web Element的形式呈现给用户,进一步提升了电信网络能力服务的抽象层次。这种电信能力应用模式打破了电信能力拘泥于手持终端的传统形式,提出了一种新的适合于Web2.0环境的电信网络能力服务提供模式。在"OMP(Open Mobile Internet Platform)应用运行和开发引擎算法及功能研发"项目中的试用证明了其可行性。展开更多
Continual release of greenhouse gases emission into the atmosphere is the main cause of climate change. Climate change and its consequent impacts have been source of concerns for all as it directly affects the sustain...Continual release of greenhouse gases emission into the atmosphere is the main cause of climate change. Climate change and its consequent impacts have been source of concerns for all as it directly affects the sustainability of life on the planet earth. Greenhouse gases emission must be reduced in all sectors to avert the inherent dangers of climate change. This work investigates the emission of greenhouse gases in the Nigerian Telecoms industry. Empirical data from Nigerian Telecoms industry are gathered and technically evaluated to investigate the carbon footprint of operations in the sector. The work further estimates the environmental gains in terms of reduction in greenhouse gases emission and economic gains in terms of reduction in fuel costs achievable with deploying renewable energy solution (solar-powered inverter with backup batteries) to power base stations.展开更多
Single photon sources are key components for quantum technologies such as quantum communication, computing and metrology. A key challenge towards the realization of global quantum networks are transmission losses in o...Single photon sources are key components for quantum technologies such as quantum communication, computing and metrology. A key challenge towards the realization of global quantum networks are transmission losses in optical fibers. Therefore, single photon sources are required to emit at the low-loss telecom wavelength bands. However, an ideal telecom wavelength single photon source has yet to be discovered. Here, we review the recent progress in realizing such sources. We start with single photon emission based on atomic ensembles and spontaneous parametric down conversion, and then focus on solid-state emitters including semiconductor quantum dots, defects in silicon carbide and carbon nanotubes. In conclusion, some state-of-the-art applications are highlighted.展开更多
In order to study supply chain of the telecom value-added service,a multi-leaders and multi-followers Stackelberg game model with multiple telecom operators and multiple service providers whose income is composed of i...In order to study supply chain of the telecom value-added service,a multi-leaders and multi-followers Stackelberg game model with multiple telecom operators and multiple service providers whose income is composed of information fee division and advertisement was constructed.Then a demonstration was simulated,and the results were compared with the situation of service providers' income only from information fee division.The simulated and compared results indicate that,the enterprises in the supply chain have the nature of pursuing the maximum profits in capital markets;meanwhile,first-mover advantages and some enterprise can get more profits with the information asymmetry.展开更多
To analyze the positive influencing factors of Chinese telecom operators' EVA(Economic Value Added),this paper selects fifteen indicators based on the enterprise features of telecom operators and telecommunication...To analyze the positive influencing factors of Chinese telecom operators' EVA(Economic Value Added),this paper selects fifteen indicators based on the enterprise features of telecom operators and telecommunications industry characteristics,and then classifies these indicators into the following factors:operation scale,profitability,solvency and asset management ability by factor analysis.This paper also gives the priorities of these four factors by regression analysis,of which the operation scale is the most important factor.The research results point out a clear method for the telecom operatorsto increase their EVA in order to meet the performance appraisal from State-owned Assets Supervision and Administration Commission of the State Council.展开更多
Reference to the international cases and experiences of asymmetric regulation in telecommunications industry,based on China's legal environment and telecommunications competition in the market,give analysis to the...Reference to the international cases and experiences of asymmetric regulation in telecommunications industry,based on China's legal environment and telecommunications competition in the market,give analysis to the role of asymmetric regulation for the development of china telecommunications market,put forward feasible measures to asymmetric regulation in China.展开更多
The financial turbulence caused by the U.S.subprime crisis has a far-reaching impact on the global financial system and economic development.Based on an in-depth analysis of the cause of U.S.subprime crisis and its ef...The financial turbulence caused by the U.S.subprime crisis has a far-reaching impact on the global financial system and economic development.Based on an in-depth analysis of the cause of U.S.subprime crisis and its effects on China and global economy,in combi-nation with the current status of China's telecom sector,this article puts forward policy suggestions for the de-velopment and regulation of China's telecom sector.展开更多
The fraudulent website image is a vital information carrier for telecom fraud.The efficient and precise recognition of fraudulent website images is critical to combating and dealing with fraudulent websites.Current re...The fraudulent website image is a vital information carrier for telecom fraud.The efficient and precise recognition of fraudulent website images is critical to combating and dealing with fraudulent websites.Current research on image recognition of fraudulent websites is mainly carried out at the level of image feature extraction and similarity study,which have such disadvantages as difficulty in obtaining image data,insufficient image analysis,and single identification types.This study develops a model based on the entropy method for image leader decision and Inception-v3 transfer learning to address these disadvantages.The data processing part of the model uses a breadth search crawler to capture the image data.Then,the information in the images is evaluated with the entropy method,image weights are assigned,and the image leader is selected.In model training and prediction,the transfer learning of the Inception-v3 model is introduced into image recognition of fraudulent websites.Using selected image leaders to train the model,multiple types of fraudulent websites are identified with high accuracy.The experiment proves that this model has a superior accuracy in recognizing images on fraudulent websites compared to other current models.展开更多
The feature analysis of fraudulent websites is of great significance to the combat,prevention and control of telecom fraud crimes.Aiming to address the shortcomings of existing analytical approaches,i.e.single dimensi...The feature analysis of fraudulent websites is of great significance to the combat,prevention and control of telecom fraud crimes.Aiming to address the shortcomings of existing analytical approaches,i.e.single dimension and venerability to anti-reconnaissance,this paper adopts the Stacking,the ensemble learning algorithm,combines multiple modalities such as text,image and URL,and proposes a multimodal fraudulent website identification method by ensembling heterogeneous models.Crossvalidation is first used in the training of multiple largely different base classifiers that are strong in learning,such as BERT model,residual neural network(ResNet)and logistic regression model.Classification of the text,image and URL features are then performed respectively.The results of the base classifiers are taken as the input of the meta-classifier,and the output of which is eventually used as the final identification.The study indicates that the fusion method is more effective in identifying fraudulent websites than the single-modal method,and the recall is increased by at least 1%.In addition,the deployment of the algorithm to the real Internet environment shows the improvement of the identification accuracy by at least 1.9%compared with other fusion methods.展开更多
Currently,telecom fraud is expanding from the traditional telephone network to the Internet,and identifying fraudulent IPs is of great significance for reducing Internet telecom fraud and protecting consumer rights.Ho...Currently,telecom fraud is expanding from the traditional telephone network to the Internet,and identifying fraudulent IPs is of great significance for reducing Internet telecom fraud and protecting consumer rights.However,existing telecom fraud identification methods based on blacklists,reputation,content and behavioral characteristics have good identification performance in the telephone network,but it is difficult to apply to the Internet where IP(Internet Protocol)addresses change dynamically.To address this issue,we propose a fraudulent IP identification method based on homology detection and DBSCAN(Density-Based Spatial Clustering of Applications with Noise)clustering(DC-FIPD).First,we analyze the aggregation of fraudulent IP geographies and the homology of IP addresses.Next,the collected fraudulent IPs are clustered geographically to obtain the regional distribution of fraudulent IPs.Then,we constructed the fraudulent IP feature set,used the genetic optimization algorithm to determine the weights of the fraudulent IP features,and designed the calculation method of the IP risk value to give the risk value threshold of the fraudulent IP.Finally,the risk value of the target IP is calculated and the IP is identified based on the risk value threshold.Experimental results on a real-world telecom fraud detection dataset show that the DC-FIPD method achieves an average identification accuracy of 86.64%for fraudulent IPs.Additionally,the method records a precision of 86.08%,a recall of 45.24%,and an F1-score of 59.31%,offering a comprehensive evaluation of its performance in fraud detection.These results highlight the DC-FIPD method’s effectiveness in addressing the challenges of fraudulent IP identification.展开更多
As the cost of accessing a telecom operator’s network continues to decrease,user churn after arrears occurred repeatedly,which has brought huge economic losses to operators and reminded them that it is significant to...As the cost of accessing a telecom operator’s network continues to decrease,user churn after arrears occurred repeatedly,which has brought huge economic losses to operators and reminded them that it is significant to identify users who are likely to churn in advance.Machine learning can form a series of judgment rules by summarizing a large amount of data,and telecom user data naturally has the advantage of user scale,which can provide data support for learning algorithms.XGBoost is an improved gradient boosting algorithm,and in this paper,we explore how to use the algorithm to train an efficient model and use this model one month in advance to predict whether users will churn.Our work is mainly divided into two aspects:(1)By completing data exploration,feature engineering and data preprocessing,we obtained a data set that can be used to train a prediction model and features that can effectively predict user churn.And using these features and data sets,two prediction models were trained based on Random Forest and XGBoost.(2)According to the business needs of telecom operators,we continuously evaluated and optimized these models.And by comparing the test results of the two models,we proved that the XGBoost model performs better for the precision and recall of user churn.展开更多
The proliferation of internet communication channels has increased telecom fraud,causing billions of euros in losses for customers and the industry each year.Fraudsters constantly find new ways to engage in illegal ac...The proliferation of internet communication channels has increased telecom fraud,causing billions of euros in losses for customers and the industry each year.Fraudsters constantly find new ways to engage in illegal activity on the network.To reduce these losses,a new fraud detection approach is required.Telecom fraud detection involves identifying a small number of fraudulent calls from a vast amount of call traffic.Developing an effective strategy to combat fraud has become challenging.Although much effort has been made to detect fraud,most existing methods are designed for batch processing,not real-time detection.To solve this problem,we propose an online fraud detection model using a Neural Factorization Autoencoder(NFA),which analyzes customer calling patterns to detect fraudulent calls.The model employs Neural Factorization Machines(NFM)and an Autoencoder(AE)to model calling patterns and a memory module to adapt to changing customer behaviour.We evaluate our approach on a large dataset of real-world call detail records and compare it with several state-of-the-art methods.Our results show that our approach outperforms the baselines,with an AUC of 91.06%,a TPR of 91.89%,an FPR of 14.76%,and an F1-score of 95.45%.These results demonstrate the effectiveness of our approach in detecting fraud in real-time and suggest that it can be a valuable tool for preventing fraud in telecommunications networks.展开更多
文摘China has started restructuring its telecom industry to promote more competition and clear the way for issuing 3G licenses china’s largest mobile communications company,China Mobile Communications Corp.,announced on May 23 that it would acquire China Railway Communication Co.Ltd.,also
基金supported by the National Natural Science Foundation of China(Grant Nos.12192251,12334014,92480001,12134001,12304418,12274130,12274133,12474378,and 12404378)the National Key R&D Program of China(Grant Nos.2022YFA1404600 and 2022YFA1205100)+2 种基金Shanghai Municipal Science and Technology Major Project(Grant No.2019SHZDZX01)the Innovation Program for Quantum Science and Technology(Grant No.2021ZD0301403)the Engineering Research Center for Nanophotonics&Advanced Instrument,Ministry of Education,East China Normal University(Grant No.2023nmc005)。
文摘We report the fabrication of an 8-meter-long thin-flm lithium niobate optical true delay line using the photolithography-assisted chemomechanical etching technique,showing a low transmission loss of 0.036 dB/cm in the conventional telecom band.
文摘随着高速发展的互联网和移动通信在业务层面的逐渐融合,国内运营商所采用的"封闭花园"模式的业务架构已经面临各种挑战,因此需要更多地考虑如何有效引入互联网业务和服务模式,不断提升用户体验。在电信运营商逐步开放其电信能力API的背景下,基于Mashup的业务构建模式,提出了一种云计算环境下的电信网络能力服务提供模式。该模式将Mashup的理念移植到电信能力上,并将电信能力封装成Web Element的形式呈现给用户,进一步提升了电信网络能力服务的抽象层次。这种电信能力应用模式打破了电信能力拘泥于手持终端的传统形式,提出了一种新的适合于Web2.0环境的电信网络能力服务提供模式。在"OMP(Open Mobile Internet Platform)应用运行和开发引擎算法及功能研发"项目中的试用证明了其可行性。
文摘Continual release of greenhouse gases emission into the atmosphere is the main cause of climate change. Climate change and its consequent impacts have been source of concerns for all as it directly affects the sustainability of life on the planet earth. Greenhouse gases emission must be reduced in all sectors to avert the inherent dangers of climate change. This work investigates the emission of greenhouse gases in the Nigerian Telecoms industry. Empirical data from Nigerian Telecoms industry are gathered and technically evaluated to investigate the carbon footprint of operations in the sector. The work further estimates the environmental gains in terms of reduction in greenhouse gases emission and economic gains in terms of reduction in fuel costs achievable with deploying renewable energy solution (solar-powered inverter with backup batteries) to power base stations.
基金financially supported by the ERC Starting Grant No.715770(QD-NOMS)the National Natural Science Foundation of China(No.61728501)
文摘Single photon sources are key components for quantum technologies such as quantum communication, computing and metrology. A key challenge towards the realization of global quantum networks are transmission losses in optical fibers. Therefore, single photon sources are required to emit at the low-loss telecom wavelength bands. However, an ideal telecom wavelength single photon source has yet to be discovered. Here, we review the recent progress in realizing such sources. We start with single photon emission based on atomic ensembles and spontaneous parametric down conversion, and then focus on solid-state emitters including semiconductor quantum dots, defects in silicon carbide and carbon nanotubes. In conclusion, some state-of-the-art applications are highlighted.
基金supported by Research Start Fund of Northwest A&F University and Youth Fund of Communication University of China under Grant No.XNG1035partly performed in the project"On-line Multi-attribute Procurement Auction Mechanism Design and Multi-agent System Implementation"supported by National Natural Science Foundation of China under Grant No.71001009
文摘In order to study supply chain of the telecom value-added service,a multi-leaders and multi-followers Stackelberg game model with multiple telecom operators and multiple service providers whose income is composed of information fee division and advertisement was constructed.Then a demonstration was simulated,and the results were compared with the situation of service providers' income only from information fee division.The simulated and compared results indicate that,the enterprises in the supply chain have the nature of pursuing the maximum profits in capital markets;meanwhile,first-mover advantages and some enterprise can get more profits with the information asymmetry.
文摘To analyze the positive influencing factors of Chinese telecom operators' EVA(Economic Value Added),this paper selects fifteen indicators based on the enterprise features of telecom operators and telecommunications industry characteristics,and then classifies these indicators into the following factors:operation scale,profitability,solvency and asset management ability by factor analysis.This paper also gives the priorities of these four factors by regression analysis,of which the operation scale is the most important factor.The research results point out a clear method for the telecom operatorsto increase their EVA in order to meet the performance appraisal from State-owned Assets Supervision and Administration Commission of the State Council.
文摘Reference to the international cases and experiences of asymmetric regulation in telecommunications industry,based on China's legal environment and telecommunications competition in the market,give analysis to the role of asymmetric regulation for the development of china telecommunications market,put forward feasible measures to asymmetric regulation in China.
文摘The financial turbulence caused by the U.S.subprime crisis has a far-reaching impact on the global financial system and economic development.Based on an in-depth analysis of the cause of U.S.subprime crisis and its effects on China and global economy,in combi-nation with the current status of China's telecom sector,this article puts forward policy suggestions for the de-velopment and regulation of China's telecom sector.
基金supported by the National Social Science Fund of China(23BGL272)。
文摘The fraudulent website image is a vital information carrier for telecom fraud.The efficient and precise recognition of fraudulent website images is critical to combating and dealing with fraudulent websites.Current research on image recognition of fraudulent websites is mainly carried out at the level of image feature extraction and similarity study,which have such disadvantages as difficulty in obtaining image data,insufficient image analysis,and single identification types.This study develops a model based on the entropy method for image leader decision and Inception-v3 transfer learning to address these disadvantages.The data processing part of the model uses a breadth search crawler to capture the image data.Then,the information in the images is evaluated with the entropy method,image weights are assigned,and the image leader is selected.In model training and prediction,the transfer learning of the Inception-v3 model is introduced into image recognition of fraudulent websites.Using selected image leaders to train the model,multiple types of fraudulent websites are identified with high accuracy.The experiment proves that this model has a superior accuracy in recognizing images on fraudulent websites compared to other current models.
基金supported by Zhejiang Provincial Natural Science Foundation of China(Grant No.LGF20G030001)Ministry of Public Security Science and Technology Plan Project(2022LL16)Key scientific research projects of agricultural and social development in Hangzhou in 2020(202004A06).
文摘The feature analysis of fraudulent websites is of great significance to the combat,prevention and control of telecom fraud crimes.Aiming to address the shortcomings of existing analytical approaches,i.e.single dimension and venerability to anti-reconnaissance,this paper adopts the Stacking,the ensemble learning algorithm,combines multiple modalities such as text,image and URL,and proposes a multimodal fraudulent website identification method by ensembling heterogeneous models.Crossvalidation is first used in the training of multiple largely different base classifiers that are strong in learning,such as BERT model,residual neural network(ResNet)and logistic regression model.Classification of the text,image and URL features are then performed respectively.The results of the base classifiers are taken as the input of the meta-classifier,and the output of which is eventually used as the final identification.The study indicates that the fusion method is more effective in identifying fraudulent websites than the single-modal method,and the recall is increased by at least 1%.In addition,the deployment of the algorithm to the real Internet environment shows the improvement of the identification accuracy by at least 1.9%compared with other fusion methods.
基金funded by the National Natural Science Foundation of China under Grant No.62002103Henan Province Science Foundation for Youths No.222300420058+1 种基金Henan Province Science and Technology Research Project No.232102321064Teacher Education Curriculum Reform Research Priority Project No.2023-JSJYZD-011.
文摘Currently,telecom fraud is expanding from the traditional telephone network to the Internet,and identifying fraudulent IPs is of great significance for reducing Internet telecom fraud and protecting consumer rights.However,existing telecom fraud identification methods based on blacklists,reputation,content and behavioral characteristics have good identification performance in the telephone network,but it is difficult to apply to the Internet where IP(Internet Protocol)addresses change dynamically.To address this issue,we propose a fraudulent IP identification method based on homology detection and DBSCAN(Density-Based Spatial Clustering of Applications with Noise)clustering(DC-FIPD).First,we analyze the aggregation of fraudulent IP geographies and the homology of IP addresses.Next,the collected fraudulent IPs are clustered geographically to obtain the regional distribution of fraudulent IPs.Then,we constructed the fraudulent IP feature set,used the genetic optimization algorithm to determine the weights of the fraudulent IP features,and designed the calculation method of the IP risk value to give the risk value threshold of the fraudulent IP.Finally,the risk value of the target IP is calculated and the IP is identified based on the risk value threshold.Experimental results on a real-world telecom fraud detection dataset show that the DC-FIPD method achieves an average identification accuracy of 86.64%for fraudulent IPs.Additionally,the method records a precision of 86.08%,a recall of 45.24%,and an F1-score of 59.31%,offering a comprehensive evaluation of its performance in fraud detection.These results highlight the DC-FIPD method’s effectiveness in addressing the challenges of fraudulent IP identification.
基金This work was supported by the National Natural Science Foundation of China(61871046).
文摘As the cost of accessing a telecom operator’s network continues to decrease,user churn after arrears occurred repeatedly,which has brought huge economic losses to operators and reminded them that it is significant to identify users who are likely to churn in advance.Machine learning can form a series of judgment rules by summarizing a large amount of data,and telecom user data naturally has the advantage of user scale,which can provide data support for learning algorithms.XGBoost is an improved gradient boosting algorithm,and in this paper,we explore how to use the algorithm to train an efficient model and use this model one month in advance to predict whether users will churn.Our work is mainly divided into two aspects:(1)By completing data exploration,feature engineering and data preprocessing,we obtained a data set that can be used to train a prediction model and features that can effectively predict user churn.And using these features and data sets,two prediction models were trained based on Random Forest and XGBoost.(2)According to the business needs of telecom operators,we continuously evaluated and optimized these models.And by comparing the test results of the two models,we proved that the XGBoost model performs better for the precision and recall of user churn.
基金This research work has been conducted in cooperation with members of DETSI project supported by BPI France and Pays de Loire and Auvergne Rhone Alpes.
文摘The proliferation of internet communication channels has increased telecom fraud,causing billions of euros in losses for customers and the industry each year.Fraudsters constantly find new ways to engage in illegal activity on the network.To reduce these losses,a new fraud detection approach is required.Telecom fraud detection involves identifying a small number of fraudulent calls from a vast amount of call traffic.Developing an effective strategy to combat fraud has become challenging.Although much effort has been made to detect fraud,most existing methods are designed for batch processing,not real-time detection.To solve this problem,we propose an online fraud detection model using a Neural Factorization Autoencoder(NFA),which analyzes customer calling patterns to detect fraudulent calls.The model employs Neural Factorization Machines(NFM)and an Autoencoder(AE)to model calling patterns and a memory module to adapt to changing customer behaviour.We evaluate our approach on a large dataset of real-world call detail records and compare it with several state-of-the-art methods.Our results show that our approach outperforms the baselines,with an AUC of 91.06%,a TPR of 91.89%,an FPR of 14.76%,and an F1-score of 95.45%.These results demonstrate the effectiveness of our approach in detecting fraud in real-time and suggest that it can be a valuable tool for preventing fraud in telecommunications networks.
