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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:

32

期数:

2022年04期

页码:

86-91

栏目:

网络与安全

出版日期:

2022-04-10

文章信息/Info

Title:

Research on Information Security Protection System of Multimodal Biometrics Identification

文章编号:

1673-629X(2022)04-0086-06

作者:

胡先智¹ ; 陈 浩² ; 梁 艳³

1. 西安理工大学 信息化管理处,陕西 西安 710048;

2. 西安理工大学 计算机科学与工程学院,陕西 西安 710048;

3. 西安思源学院 理工学院,陕西 西安 710038

Author(s):

HU Xian-zhi1 ; CHEN Hao2 ; LIANG Yan3

1. Division of Information Management,Xi’an University of Technology,Xi’an 710048,China;

2. Faculty of Computer Science and Engineering,Xi’an University of Technology,Xi’an 710048,China;

3. School of Technology,Xi’an Siyuan University,Xi’an 710038,China

关键词:

人工智能; 多模态生物特征; 分类分级; 安全防护; 全面生命周期

Keywords:

artificial intelligence; multimodal biometrics; classification and gradation; security protection; all life cycle

分类号:

TP391

DOI:

10. 3969 / j. issn. 1673-629X. 2022. 04. 015

摘要:

在新的计算能力和深度学习技术推动下,人工智能、大数据发展进入了繁荣期,导致多模态生物特征信息迅猛增加与应用。 由于多模态生物识别具有自然性和多场景应用性,特征信息的采集、识别、分析不仅涉及个人隐私和人格尊严,还主动或被动暴露在现实环境中,高校面临着巨大的信息安全保护需求和风险挑战。 通过对高校多模态生物特征信息安全问题及现状进行分析,提出从基础设施安全防护、网络安全防护、数据安全防护、应用安全防护四个层面构建多模态生物特征信息安全防护框架,并将管理数据防护、业务数据防护、用户鉴别信息防护、分类分级全生命周期信息防护策略与技术相结合,以着力解决不同维度的安全风险和隐患问题。 结合国内高校多模态生物特征信息实施应用情况进行对比分析,验证了所提出的信息防护策略与技术有良好的应用效果,为加强高校多模态生物特征信息防护能力提供借鉴和参考。

Abstract:

Driven by the new computing capabilities and deep learning technology,the development of artificial intelligence and big data has entered a? ?boom period,resulting in the rapid increase and application of multimodal biometric information. Due to the naturalness and multi-scenario application? ?of multimodal biometrics,the collection, identification and analysis of feature information not only involves personal privacy and dignity,but also actively or passively exposed to the real environment. Colleges and universities are facing huge information security protection needs and risk challenges. By analyzing the security problems and current situation of multimodal biometric information in colleges and universities,we propose to build an information security protection framework of multimodal biometrics from four levels: infrastructure security protection, network security protection, data security protection and application security protection.Then strategy and technology are combined? ?by management data protection, business data protection, user identification information protection,classification and all life cycle information protection, which solve the security risks and hidden dangers in different dimensions. A comparative analysis of the implementation and application of multimodal biometric information in domestic colleges and universities verifies the good application effects of the proposed information protection strategy and technology. It provides reference for strengthening the information protection capabilities of multimodal biometrics.

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更新日期/Last Update: 2022-04-10