Fiber-based joint time and frequency dissemination via star-shaped commercial telecommunication network

A fiber-based, star-shaped joint time and frequency dissemination scheme is demonstrated. By working in cooperation with the existing commercial telecommunication network. Our scheme enables the frequency, time, and digital data networks to be integrated together and could represent an ideal option of interconnection among scientific institutions.The compensation functions of the time and frequency transfer scheme are set at the client nodes. The complexity of the central node is thus reduced, and future expansion by the addition of further branches will be accomplished more easily.During a performance test in which the ambient temperature fluctuation is 30℃/day, timing signal dissemination stability is achieved to be approximately ±50 ps along 25-km-long fiber spools. After calibration, a timing signal synchronization accuracy of 100 ps is also realized. The proposed scheme offers an option of the construction of large-scale fiber-based frequency and time transfer networks.

CDR2IMG:A Bridge from Text to Image in Telecommunication Fraud Detection

Telecommunication fraud has run rampant recently worldwide.However,previous studies depend highly on expert knowledge-based feature engineering to extract behavior information,which cannot adapt to the fastchanging modes of fraudulent subscribers.Therefore,we propose a new taxonomy that needs no hand-designed features but directly takes raw Call DetailRecords(CDR)data as input for the classifier.Concretely,we proposed a fraud detectionmethod using a convolutional neural network(CNN)by taking CDR data as images and applying computer vision techniques like image augmentation.Comprehensive experiments on the real-world dataset from the 2020 Digital Sichuan Innovation Competition show that our proposed method outperforms the classic methods in many metrics with excellent stability in both the changes of quantity and the balance of samples.Compared with the state-of-the-art method,the proposed method has achieved about 89.98%F1-score and 92.93%AUC,improving 2.97%and 0.48%,respectively.With the augmentation technique,the model’s performance can be further enhanced by a 91.09%F1-score and a 94.49%AUC respectively.Beyond telecommunication fraud detection,our method can also be extended to other text datasets to automatically discover new features in the view of computer vision and its powerful methods.

Exploring Enterprise Performance Indicators Network： A Case Study of China Telecommunication Industry

Perforrmnce indicators play some important roles in enterprise operation. Both researchers and managers have recently pointed out that the identification of correlation between different performmance indicators may lead to a better understanding of business. However, it is becoming more and more difficult to measure and analyze these indicators since the fast growing number of performance indicators and the complex relationships between them The existing categories failed to reflect these changes in an adequate way, and the quantitative analysis methods for identifying the characters of those pefformance indicators are still worthy of investigation. The main objective of this paper is to propose a practical methodology for managing and analyzing performance indicators in enterprises, which focuses on building up a performance indicator system and discovering the characters of those performance indicators by applying complex network methods. The empirical results of a telecommunieation enterprise show that the proposed method can be effective in understanding the correlations between performance indicators.

Radio Network Planning and Optimization for 5G Telecommunication System Based on Physical Constraints

The paper mainly focuses on the network planning and optimization problem in the 5G telecommunication system based on the numerical investigation.There have been two portions of this work,such as network planning for efficient network models and optimization of power allocation in the 5G network.The radio network planning process has been completed based on a specific area.The data rate requirement can be solved by allowing the densification of the system by deploying small cells.The radio network planning scheme is the indispensable platform in arranging a wireless network that encounters convinced coverage method,capacity,and Quality of Service necessities.In this study,the eighty micro base stations and two-hundred mobile stations are deployed in the-15km×15km wide selected area in the Yangon downtown area.The optimization processes were also analyzed based on the source and destination nodes in the 5G network.The base stations’location is minimized and optimized in a selected geographical area with the linear programming technique and analyzed in this study.

Design of an Interconnection Architecture and Sizing of Two (2) EPC Core Networks: The Case of Orange-Guinea

With the arrival of the 4G and 5G,the telecommunications networks have experienced a large expansion of these networks.That enabled the integration of many services and adequate flow,thus enabling the operators to respond to the growing demand of users.This rapid evolution has given the operators to adapt,their methods to the new technologies that increase.This complexity becomes more important,when these networks include several technologies to access different from the heterogeneous network like in the 4G network.The dimensional new challenges tell the application and the considerable increase in demand for services and the compatibility with existing networks,the management of mobility intercellular of users and it offers a better quality of services.Thus,the proposed solution to meet these new requirements is the sizing of the EPC(Evolved Packet Core)core network to support the 5G access network.For the case of Orange Guinea,this involves setting up an architecture for interconnecting the core networks of Sonfonia and Camayenne.The objectives of our work are of two orders:(1)to propose these solutions and recommendations for the heart network EPC sizing and the deployment to be adopted;(2)supply and architectural interconnection in the heart network EPC and an existing heart network.In our work,the model of traffic in communication that we use to calculate the traffic generated with each technology has link in the network of the heart.

Estimating network effects in China’s mobile telecommunications

A model is proposed along with empirical investigation to prove the existence of network effects in China’s mobile telecommunications market. Futhernore, network effects on China’s mobile telecommunications are estimated with a dynamic model. The structural parameters are identified from regression coefficients and the results are analyzed and compared with another literature. Data and estimation issues are also discussed. Conclusions are drawn that network effects are significant in China’s mobile telecommunications market, and that ignoring network effects leads to bad policy making.

Optical Cable Telecommunication Networks

1. Southern Coastal Optical Cable Engineering Project. The cable was completed and put into operation in 1992, and has a total length of 2,800km, starting from Nanjing in the north, via Shanghai, Hangzhou, Fuzhou, Xiamen, Huizhou, leading to Guangzhou in the south, covering Jiangsu, Shanghai, Zhejiang, Fujian and Guangdong. The whole line has

基于协同治理理念的大学生电信网络诈骗防范策略——以常州科教城高校为例

随着互联网技术的飞速发展,高校学生遭受电信网络诈骗问题日益凸显,以常州科教城的高校为对象,探讨了大学生面临的网络诈骗问题及其成因。研究发现,大学生的网络诈骗受害情况较为严重,且存在主客观的原因,包括心理上易于信任他人、价值观念缺失以及高校防范教育的不足。基于此,借鉴协同治理理论,提出了防范能力策略,旨在通过完善制度、搭建共享信息平台和多元主体协同治理,有效提升大学生的网络诈骗防范能力。

高校裸聊诈骗的心理成因与防范对策——基于隐私暴露视角的分析

文章从隐私暴露的视角,基于知、情、意心理结构,构建了高校裸聊诈骗发生机理的分析框架。从认知角度来看,高校裸聊诈骗是信息不对称引起的意志迷失。从情感角度来看,高校裸聊诈骗的发生是由于情感匮乏导致的欲望放逐。从意志角度来看,盲目的生命意志冲动是导致大学生隐私暴露而被骗的直接原因。基于上述3个因素,文章提出了以知育人、以情育人、以志育人的心理教育对策,旨在提高包括裸聊在内的电信网络诈骗防控机制的科学精准性和实践针对性。

跨境网络犯罪刑事管辖权:困境、成因与破解

跨境网络犯罪是互联网结构要素跨越国境或边境的犯罪形式,使得犯罪的主体、行为、对象和结果等涉罪要素的载体处于不同的空间场,为确定刑事管辖权带来了复杂的现实境况,引起多国或多地区的管辖权冲突以及管辖权冲突规则难以协调等问题。究其原因,主要是各国各地区对保护管辖原则的理解僵化、刑事管辖权立法规范适用性不强、司法协作机制不完善所致。为此,中国应当重新解读并践行“双方可罚原则”,在鼓励“进取型管辖”的同时注重保障人权,积极推行适用“行为-结果联系原则”来确定刑事管辖权,以防止出现立法保守下的司法被动局面或者为宣示司法主权的立法过度扩张态势。鉴于此,我国应当尽快与刑事管辖权冲突比较突出的国家和地区缔结以惩治跨境网络犯罪为核心的国际条约、多边协定和司法协助规定,并在国内法中同步转化,以为网络空间命运共同体的构建和我国“十四五”规划中对网络安全治理目标的实现服务。

网络裸聊敲诈犯罪的侦查难点及应对策略——基于全量数据驱动视角

网络裸聊敲诈是随着电信网络诈骗猖獗发展而逐渐演变形成的一种新型犯罪,具有较强的有跨境组织性、层级分工性特征和产业链条化发展趋势。由于受害人报案率低、犯罪手段具有“软暴力”特点等,当前侦查打击在虚拟空间取证、嫌疑人抓捕、资金追缴等方面遭遇困境。公安机关应加强“专业+机制+大数据”新型警务模式建设,运用全量数据驱动型侦查方法,加强数据的溯源、拓展、研判和穿透,以提升新质战斗力,从而有力遏制此类犯罪势头。

电信网络诈骗刑事附带民事公益诉讼的理论逻辑与程序构建

基于网络治理的系统观念和问题导向,《中华人民共和国反电信网络诈骗法》第47条明确了人民检察院在电信网络诈骗刑事附带民事公益诉讼中的原告主体资格,旨在促进刑民责任承担的有机衔接,实现对电信网络诈骗的一体化、各环节、全链条防范治理。作为对电信网络诈骗案件提起的新型诉讼制度,其理论逻辑和具体规则尚不完备,立法支持和实践经验均严重不足,应明晰电信网络诈骗刑事附带民事公益诉讼具有正当性与必要性。同时,厘清案件可诉范围和人民检察院职能定位,以一体化思维疏通管辖难题,以智慧司法赋能协同治理,为司法提供有效的程序框架。

中国与东南亚合作应对电信网络诈骗犯罪策略优化:结构性错位与现代化融合

跨境电信诈骗犯罪是一种全新的高智商高科技型犯罪,当前各国犯罪侦破和司法审查仍处于经验积累阶段。近年来,部分东南亚国家尤其是澜沧江—湄公河流域国家电信网络诈骗案发数量骤增。中国公安机关会同海关总署等部门通过与缅甸等国家执法部门开展大规模反电诈行动,在缅北等地区取得阶段性成果,但电信诈骗犯罪活动仍有较大活动空间,且有向司法监管薄弱国家或地区转移的趋势,这种以境外第三国为犯罪源头,专门针对境内外中国公民财产为诈骗目标的新型网络犯罪亟需予以持续关注。新型网络电信诈骗团伙对社会经济安全、公民财产安全产生持续系统性威胁。跨境电信诈骗犯罪组织具有高科技化、善变多变和反侦查意识强等特征,电信诈骗犯罪在各国间面临罪与非罪的差异、罪名与刑罚的差异,各国间法治差异、应对的不对称性和结构性错位问题给跨国电信诈骗治理带来障碍,同时也存在跨境证据收集原则差异与证据转化难问题。文章提出按照预防为先的应对思路,加快构建涉外法治体系为切入,共同推进国家间涉外法治现代化融合发展,深化跨境侦防一体化建设与完善跨境诉讼制度。通过跨境“侦查—防范”体系的涉外法治与国际法治保障相结合,立法上扩大跨境技术侦查的证据来源范畴,优化跨境证据转化和有效利用,统筹协调预防犯罪,密切双边法治合作基础,推动澜沧江—湄公河次区域各国大数据警务合作发展,共同提升跨境电信诈骗犯罪治理效能。

电信网络诈骗案件定性的一般原则

司法实践中存在电信网络诈骗案件定性过于宽泛的倾向,没有厘清电信网络盗窃、普通诈骗与电信网络诈骗之间的界限。电信网络诈骗首先应当构成诈骗罪,不能片面关注技术手段相关情节而忽视诈骗罪的基础属性。把所有使用电信网络技术手段的诈骗都认定为电信网络诈骗,是对司法解释的误读,也不符合从重处罚的一般原理。面向不特定多数人实施是电信网络诈骗的本质属性,应当依据技术手段的作用大小、被害群体是否具有特定性等相关情节和报应及预防的必要性等因素综合评估案件的社会危害性,最终实现电信网络诈骗的准确定性。

使用Keras构建的神经网络模型对电信网络欺诈识别研究

本研究旨在探究电信网络欺诈识别中深度学习模型的应用。采用基于Keras构建的神经网络模型,对欺诈数据集进行了详细的数据准备和模型设计,并对模型训练方法进行了详细阐述。实验结果表明,本文设计的神经网络模型相较于基准模型,在准确率、精确率、召回率和F1分数等评估指标上均有显著提升,尤其是在处理不平衡数据集时表现更为优异。本研究为电信网络欺诈识别提供了一种有效的深度学习解决方案,为相关领域的进一步研究和实践提供了借鉴。

惩治跨境电信网络诈骗犯罪警务合作路径完善——以中国—东盟合作机制为视角

在国内严厉打击电信网络诈骗犯罪背景下,电信网络诈骗集团开始向东盟国家转移,其利用各国间刑事管辖权冲突逃避我国警方打击。以国际条约、双边条约、多边条约和国内法为法律支撑,我国与东盟协同确立了情报信息共享、派驻警务联络官、联合侦查和联合行动等警务合作事项,为双方进一步联合打击跨境电信网络诈骗犯罪作出有益探索。但合作过程中执法合作文件零散,合作机制不具稳定性;协调机构缺位而导致合作效率低下;信息交流方式传统未能实现情报高效利用;执法能力参差不齐以致合作效果不理想。鉴于此,应当尊重各国主权、有效协商,共同制定完备的法律文件实现警务合作机制常态化;设立权威性协调机构统筹各方意见,提高合作效率;建立情报信息共享数据库弥合合作主体间的信息鸿沟;升级技术设备和开展警务培训,全方位提高执法能力,切实提升中国—东盟打击跨境电信网络诈骗犯罪警务合作质效。

复合式刷单诈骗犯罪高发成因分析及对策研究

在全民反诈背景下,由于形式多样、变化较快,复合式刷单诈骗仍然是最高发的电信网络诈骗行为。犯罪分子深谙心理控制机制,依托黑灰产业技术的高速发展,对受害人精准实施诈骗。打击复合式刷单诈骗,需要构建全链条心理干涉和阻断机制,打造黑灰产业生态和技术规范化监管体系;同时,依托人工智能和新技术,形成防范处置电信诈骗智能化大数据模型,构建打击复合式刷单诈骗犯罪的有效机制。

电信网络诈骗案件取证存在的不足及其解决路径——以“四专两合力”总体思路为切入点

有效地开展取证活动是成功侦破电信网络诈骗案件的关键。但是,由于一些侦查人员取证意识、取证能力以及取证协作三个方面仍存不足,导致电信网络诈骗案件的侦查取证效益还不高,影响了对这类犯罪的打击力度。对此,应以“四专两合力”(专题研究、专门队伍、专案攻坚、专门技术、内部合力、外部合力)的思路来予以解决。具体如下:提高思想认识,加强取证专题研究;组建取证专门队伍,全面提高取证能力;构建分层级的专案攻坚体系;更新取证技战法,丰富取证专业技术;依托反诈中心,抓好取证内部合力;构建协同取证机制,促成取证外部合力等。通过这些针对性路径来推进取证活动,从而为治理电信网络诈骗犯罪提供有力支撑。

基于通信网络的大数据防诈模型设计和研究

近年来,电信网络诈骗犯罪形势十分严峻,已成为发案最多、上升最快、涉及面最广、人民群众反映最强烈的犯罪类型。基于电信通信网络,通过对公安、工信部通报诈骗号码的大数据挖掘分析,提取相似特征,利用机器学习、大数据、神经网络、遗传算法等开发大数据防诈模型,从数据采集、中间处理、模型生成、用户匹配、用户停机等全流程,及时关停疑似诈骗分子的号码,避免更多人蒙受诈骗,遭受损失。