Journal of Information Security Reserach ›› 2025, Vol. 11 ›› Issue (E1): 229-.

Online:2025-12-20 Published:2025-12-20

医疗大模型数据安全保障技术及应用研究

张星

(北京天融信网络安全技术有限公司北京100193)

通讯作者: 张星高级工程师.主要研究方向为网络安全、数据安全、工业互联网安全. 13661905090@139.com
作者简介:张星高级工程师.主要研究方向为网络安全、数据安全、工业互联网安全. 13661905090@139.com

Abstract

摘要： 医疗垂直领域大模型通过整合多模态医疗数据与人工智能算法，显著提升了疾病诊疗、药物研发和健康管理的效率，但也面临着愈来愈严峻的数据安全风险.系统分析了覆盖大模型全生命周期的数据安全需求及风险，提出了基于动态差分隐私的联邦学习优化、多模态对抗训练增强、区块链存证审计等一系列安全保障技术.该保障技术可大幅降低数据泄露风险，显著提升模型对抗攻击能力，为医疗AI的合规安全发展提供了理论支撑与实践范式.

关键词: 人工智能, 大模型, 医疗, 数据安全

CLC Number:

TP393.08

张星, . 医疗大模型数据安全保障技术及应用研究[J]. 信息安全研究, 2025, 11(E1): 229-.

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医疗大模型数据安全保障技术及应用研究

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