支持内容智能治理的双结构互联网

doi:10.11959/j.issn.1000-436x.2019197

Abstract

Abstract:

For the current Internet architecture is suffering many challenges of cyber content governance,including big data trends of cyber contents,lack of semantic identification,and the severe situation of content security.In seeking to address these challenges,a dual-architecture Internet which integrated the current Internet architecture with a complementary secondary broadcast-storage network architecture characterized as the combination of broadcast transmission and ubiquitous storage was proposed.The design principles and core concepts of the dual-architecture Internet and its intelligent realization mechanism of cyber content governance were introduced,and especially,the national standard of uniform content label (UCL) and UCL-based rich semantic vector coding of contents,the gathering of popular contents the UCL-oriented security energy level model,the UCL knowledge space and content clustering hall for workshop of meta-synthetic engineering were detailed.Consequently,a prototype of dual-architecture Internet supporting intelligent governance of cyber contents was developed to verify the design principles and core concepts of the dual-architecture Internet and its capability for intelligent governance of cyber contents.The dual-architecture Internet proposed can provide a brand-new approach to solve the problem of cyber content governance from the high-level perspective of network architecture.

Key words: dual-architecture Internet, intelligent governance of cyber content, uniform content label, content big data, meta-synthesis

CLC Number:

TP393

Figures/Tables 15

References 28

[1]	全国中文新闻信息标准化技术委员会.统一内容标签格式规范:GB/T 35304-2017[S]. 北京:中国标准出版社,2017-12-29.
	National Chinese News Information Standardization Technical Committee.Uniform content label format specification:GB/T 35304-2017[S]. Beijing:Standards Press of China,2017-12-29.
[2]	CHEN F , SITARAMAN R K , TORRES M . End-user mapping:next generation request routing for content delivery[J]. ACM SIGCOMM Computer Communication Review, 2015,45(4): 167-181.
[3]	CISCO. Cisco visual networking index:forecast and trends,2017-2022 white paper[R].(2019-02-27)[2019-08-05].
[4]	IDC. The digital universe of opportunities:rich data and the increasing value of the Internet of things[R].(2014-04)[2019-08-05].
[5]	YU S , LIU M , DOU W ,et al. Networking for big data:a survey[J]. IEEE Communications Surveys ＆ Tutorials, 2017,19(1): 531-549.
[6]	ZOIDI O , FOTIADOU E , NIKOLAIDIS N ,et al. Graph-based label propagation in digital media:a review[J]. ACM Computing Surveys, 2015,47(3): 1-35.
[7]	BOUK S H , AHMED S H , KIM D ,et al. Named-data- networking-based ITS for smart cities[J]. IEEE Communications Magazine, 2017,55(1): 105-111.
[8]	DIN I U , HASSAN S , KHAN M K ,et al. Caching in information-centric networking:strategies,challenges,and future research directions[J]. IEEE Communications Surveys ＆ Tutorials, 2018,20(2): 1443-1474.
[9]	AL-NADAY M F , THOMOS N , REED M J . Information-centric multilayer networking:improving performance through an ICN/WDM architecture[J]. IEEE/ACM Transactions on Networking (TON), 2017,25(1): 83-97.
[10]	VASILAKOS A V,LI Z , SIMON G , YOU W . Information centric network:research challenges and opportunities[J]. Journal of Network and Computer Applications, 2015,25: 1-10.
[11]	尹浩, 郭东超, 吕勇强 ,等. 主动防御的双结构网络[J]. 中国科学:信息科学, 2018,48(12): 1651-1669.
	YIN H , GUO D C , LYU Y Q ,et al. Dual-structural network of active defense[J]. SCIENTIA SINICA Informations, 2018,48(12): 1651-1669.
[12]	AMBROSIN M , COMPAGNO A , CONTI M ,et al. Security and privacy analysis of national science foundation future Internet architectures[J]. IEEE Communications Surveys ＆ Tutorials, 2018,20(2): 1418-1442.
[13]	蔡桂林, 王宝生, 王天佐 ,等. 移动目标防御技术研究进展[J]. 计算机研究与发展, 2016,53(5): 968-987.
	CAI G L , WANG B S , WANG T Z ,et al. Research and development of moving target defense technology[J]. Journal of Computer Research and Development, 2016,53(5): 968-987.
[14]	仝青, 张铮, 张为华 ,等. 拟态防御 Web 服务器设计与实现[J]. 软件学报, 2017,48(4): 883-897.
	TONG Q , ZHANG Z , ZHANG W H ,et al. Design and implementation of mimic defense Web server[J]. Journal of Software, 2017,48(4): 883-897.
[15]	GUILLE A , FAVRE C . Event detection,tracking,and visualization in twitter:a mention-anomaly-based approach[J]. Social Network Analysis and Mining, 2015,5(1): 1-18.
[16]	LLOYD A . The future of news is not an article[R].(2015-10-20)[2019-08-05].
[17]	W3C. Platform for Internet content selection[R].(2009-05-13)[2019-08-05].
[18]	DARPA. Knowledge-directed artificial intelligence reasoning over schemas (KAIROS)[R].(2019-01-23)[2019-08-05].
[19]	钱学森, 于景元, 戴汝为 . 一个科学新领域——开放的复杂巨系统及其方法论[J]. 自然杂志, 1990,13(1): 3-10.
	QIAN X S , YU J Y , DAI R W . An ewdiscip line of science - the study of open complex giant system andit smethodology[J]. Chinese Journal of Nature, 1990,13(1): 3-10.
[20]	杨鹏, 李幼平 . 播存网络体系结构普适模型及实现模式[J]. 电子学报, 2015,43(5): 974-979.
	YANG P , LI Y P . General architecture model of broadcast-storage network and its realization patterns[J]. Acta Electronica Sinica, 2015,43(5): 974-979.
[21]	刘旋, 杨鹏, 董永强 . 双结构互联网内容共享能力研究[J]. 电子学报, 2018,46(4): 849-855.
	LIU X , YANG P , DONG Y Q . Research on content sharing capability for dual-architecture network[J]. Acta Electronica Sinica, 2018,46(4): 849-855.
[22]	XUAN L,PENG Y , YONGQIANG D , SYED H A . An analysis of content sharing hops for dual-structural network based on general random graph[C]// IEEE Global Communications Conference 2018 (Globecom 2018). 2018.
[23]	W3C. Semantic web[R].(2015-05)[2019-08-05].
[24]	Internet Live Stats. Total number of Websites[EB/OL].(2018-06)[2019-08-05].
[25]	ADEDOYIN-OLOWE M , GABER M M , DANCAUSA C M ,et al. A rule dynamics approach to event detection in twitter with its application to sports and politics[J]. Expert Systems with Applications, 2016,55: 351-360.
[26]	TAN S , LI Y , SUN H ,et al. Interpreting the public sentiment variations on twitter[J]. IEEE transactions on knowledge and data engineering, 2014,26(5): 1158-1170.
[27]	WANG C , SONG Y,EL-KISHKY A ,et al Incorporating world knowledge to document clustering via heterogeneous information networks[C]// The 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2015: 1215-1224.
[28]	LIN Y , LIU Z , SUN M ,et al. Learning entity and relation embeddings for knowledge graph completion[C]// Twenty-ninth Aaai Conference on Artificial Intelligence. 2015: 2181-2187.

Metrics

Recommended 0

No Suggested Reading articles found!

Dual-architecture Internet supporting intelligent governance of cyber content

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 15

References 28

Related Articles 15

Metrics

Recommended 0

[1]	Jingbo LI, Li MA, Yang LI, Yingxun FU, Dongchao MA. Optimized design of sensing transmission and computing collaborative industrial Internet [J]. Journal on Communications, 2023, 44(6): 12-22.
[2]	Shiqi ZHAO, Xiaohong HUANG, Zhigang ZHONG. Research and implementation of reputation-based inter-domain routing selection mechanism [J]. Journal on Communications, 2023, 44(6): 47-56.
[3]	Zhen CHEN, Wenhui CHEN, Xiaowei LIU, Dianlong YOU, Linlin LIU, Limin SHEN. Functional complementarity relationship enhanced cloud API recommendation method [J]. Journal on Communications, 2023, 44(6): 125-137.
[4]	Debin WEI, Chengsheng PAN, Li YANG, Zuoren YAN. Adaptive random early detection algorithm based on network traffic level grade prediction [J]. Journal on Communications, 2023, 44(6): 154-166.
[5]	Yuancheng LI, Yongtai QIN. Deep reinforcement learning based algorithm for real-time QoS optimization of software-defined security middle platform [J]. Journal on Communications, 2023, 44(5): 181-192.
[6]	Yingjie XIA, Siyu ZHU, Xuejiao LIU. Research on efficient cross trust-domain group authentication with conditional privacy of vehicle platoon under blockchian architecture [J]. Journal on Communications, 2023, 44(4): 111-123.
[7]	Renchao XIE, Wen WEN, Qinqin TANG, Yunlong LIU, Gaochang XIE, Tao HUANG. Survey on rail transit mobile edge computing network security [J]. Journal on Communications, 2023, 44(4): 201-215.
[8]	Zhiyong LUO, Yu ZHANG, Qing WANG, Weiwei SONG. Study of SDN intrusion intent identification algorithm based on Bayesian attack graph [J]. Journal on Communications, 2023, 44(4): 216-225.
[9]	Yifeng WANG, Yuanbo GUO, Qingli CHEN, Chen FANG, Renhao LIN, Yongliang ZHOU, Jiali MA. Method based on contrastive incremental learning for fine-grained malicious traffic classification [J]. Journal on Communications, 2023, 44(3): 1-11.
[10]	Jin ZHANG, Qiang GE, Weihai XU, Yiming JIANG, Hailong MA, Hongtao YU. Design, implementation and formal verification of BGP proxy for mimic router [J]. Journal on Communications, 2023, 44(3): 33-44.
[11]	Pujie JING, Liangmin WANG, Xuewen DONG, Yushu ZHANG, Qian WANG, Sohail Muhammad. CHA: cross-chain based hierarchical architecture for practicable blockchain regulatory [J]. Journal on Communications, 2023, 44(3): 93-104.
[12]	Jian SHU, Jiawei SHI, Linlan LIU, Al-Kali Manar. Topology prediction for opportunistic network based on spatiotemporal convolution [J]. Journal on Communications, 2023, 44(3): 145-156.
[13]	Dongbin WANG, Dongzhe WU, Hui ZHI, Kun GUO, Xu ZHANG, Jinqiao SHI, Yu ZHANG, Yueming LU. Preventing flow table overflow against denial of service attack in software defined network [J]. Journal on Communications, 2023, 44(2): 1-11.
[14]	Haiyan KANG, Molan LONG. Research on network attack analysis method based on attack graph of absorbing Markov chain [J]. Journal on Communications, 2023, 44(2): 122-135.
[15]	Yuntao ZHANG, Binxing FANG, Chunlai DU, Zhongru WANG, Zhijian CUI, Shouyou SONG. Container escape detection method based on heterogeneous observation chain [J]. Journal on Communications, 2023, 44(1): 49-63.