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Enhance Multi-factor Authentication Model for Intelligence Community Access to Critical Surveillance Data

机译:增强多因素身份验证模型,以使情报社区可以访问关键监视数据

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Protection of critical data is one of the greatest challenges in any organization around the globe, especially for the intelligence community. Managing data, assets and resources require strong security method such as the authentication process that can guarantee only designated person will be receiving the required information. Any breach of information and assets could risk in the nation's sovereignty and give significant impacts in social, political, economy and diplomacy or even lives. Authentication method enables intelligence data to be transferred covertly and the access to the system by a legitimate user is guaranteed, hence the elements of confidentiality, integrity, and availability of the data is assured. This study analyzed various authentication methods used to secure multiple platforms of data and system. This study serves as theoretical analysis on multi-factor authentication model for intelligence community access to critical surveillance data. This study aims to propose the enhance model that could be used as a basis to build a framework of the secured authentication system to avoid common attack on authentication and access management.
机译:保护关键数据是全球任何组织(尤其是对于情报界)最大的挑战之一。管理数据,资产和资源需要强大的安全方法,例如身份验证过程,可以确保只有指定的人才能接收到所需的信息。任何违反信息和资产的行为都可能危及国家主权,并对社会,政治,经济和外交乃至生活产生重大影响。身份验证方法可以秘密地传输情报数据,并确保合法用户对系统的访问,从而确保了数据的机密性,完整性和可用性。本研究分析了用于保护数据和系统的多个平台的各种身份验证方法。本研究为情报社区访问关键监视数据的多因素身份验证模型提供了理论分析。这项研究旨在提出一种增强模型,该模型可以用作构建安全认证系统框架的基础,从而避免对认证和访问管理的常见攻击。

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