网络基因图谱研究

信息安全研究 ›› 2016, Vol. 2 ›› Issue (9): 844-849.

网络基因图谱研究

郭晓博

南京信息技术研究院

收稿日期:2016-09-19 出版日期:2016-09-15 发布日期:2016-09-19
通讯作者: 郭晓博
作者简介:高级工程师，主要研究方向为网络与信息安全. gxbbest@126.com

Research on Network Genetic Map

Received:2016-09-19 Online:2016-09-15 Published:2016-09-19

摘要/Abstract

摘要： 随着人机物三元日益深度融合，人类活动早已冲出原有现实空间的边界，出现线上和线下联动现象，这为行为失范、网络犯罪、从事危害国家安全等活动提供便利条件，且网络的匿名性、加密通信、移动性等特性加大管理部门的执法难度.因此受生物基因启发，首次提出网络基因图谱概念，该图谱涵盖实体的生物属性、社会属性、网络属性，能突破现有身份认证容易伪造且难以虚实映射的问题，且具备如下优点：一是唯一标识实体；二是能够反映实体的本质特征；三是具备计算能力，可推理、补全、预测等.网络基因图谱将为全方位认知实体、跨域甄别实体、预防或打击实体犯罪等提供全新的技术支持，具有重大的理论和实践意义.

关键词: 网络基因片段, 网络基因图谱, 唯一性, 多维性, 可计算性, 突变性

Abstract: With the increasing deeply fusion of the mancyberphysical ternary world, human activities have already surged the boundary of original real space and is showing the linkage of online and offline . This provides convenient conditions for behavior anomie, network crime and engaging in activities endangering state security and so on. Whats more, the anonymity, encrypted communication and mobility and other network characteristics may increase the difficulty of law enforcement for administrative department. Inspired by biological gene, this paper puts forward the concept of “Network Genetic Map” for the first time. It covers the biological, social and network attributes and can break through two technical problems, namely identity authentication is easy to forge and the mapping between virtual and real world is difficult to create. The new concept has the following merits: firstly, it can give a unique identification for an entity; secondly, able to reflect ones essence; thirdly, have the ability to calculate, for example, to infer, to complete, to forecast and so on. Network Genetic Map may provide a new technical support for making an allround cognition on an entity, identifying entities in crossdomain, preventing or cracking down entity crime and so on, which is of great theoretical and practical significance.

Key words: network gene segment, network genetic map, uniqueness, multidimensional nature, calculability, mutability

董新民. 网络基因图谱研究[J]. 信息安全研究, 2016, 2(9): 844-849.

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