网络安全与数据治理2024，Vol.43Issue(8)：22-27,6.DOI:10.19358/j.issn.2097-1788.2024.08.004
基于深度学习的智慧校园勒索病毒防御架构设计
Design of a deep learning-based ransomware defense architecture for smart campuses
摘要
Abstract
The construction of smart campuses is an inevitable trend in the informatization development of modern universities.However,cybersecurity issues,especially ransomware attacks,pose a serious threat to the normal operation of smart campuses.Traditional security measures struggle to cope with the constantly evolving ransomware,thus this paper proposes an Adaptive Ran-somware Defense Architecture based on Deep Learning(ARDAD)to enhance the ransomware defense capabilities of smart cam-pus cloud platforms.ARDAD integrates security mechanisms such as multi-level protection,behavior analysis,and dynamic re-sponse,monitoring networks,files,and servers in real-time.It utilizes deep learning techniques to identify and intercept ransom-ware,ultimately achieving security protection for smart campus cloud platforms.关键词
智慧校园/勒索病毒/深度学习/自适应安全架构/网络安全Key words
smart campus/ransomware/deep learning/adaptive security architecture/cybersecurity分类
信息技术与安全科学引用本文复制引用
朱朝阳,朱晓,朱磊,许杏..基于深度学习的智慧校园勒索病毒防御架构设计[J].网络安全与数据治理,2024,43(8):22-27,6.基金项目
中国高校产学研创新基金(2022IT214) （2022IT214）
2023年广西教育厅中青年提升科研项目(2023KY1318) （2023KY1318）
