https://ursa-ict.github.io/The homepage of URSA @ ICT,CASHugo -- gohugo.ioenThu, 12 May 2022 09:40:28 +0800https://ursa-ict.github.io/posts/artificial-intelligence-security/Thu, 12 May 2022 09:40:28 +0800Authorhttps://ursa-ict.github.io/posts/artificial-intelligence-security/Introduction The past several years have witnessed the rapid development of Deep Learning technology. Various DL models today are widely adopted in many scenarios, e.g., image classification, speech recognition, language processing, robotics control. These applications significantly enhance the quality of life. However, new security threats are introduced to DNN models including backdoor attacks, adversarial attacks, model extraction attacks, privacy inference attacks, etc. It is critical to protect these DNN models against existing or potential integrity and privacy attacks, especially in safety-critical fields such as autonomous driving and smart medical care.https://ursa-ict.github.io/posts/multimedia-security/Thu, 12 May 2022 09:40:28 +0800Authorhttps://ursa-ict.github.io/posts/multimedia-security/Introduction Multimedia combines one or different content forms such as text, audio, images, animations, or video into a single interactive presentation. Multimedia data is characterized by a large amount of information, strong correlation, and high redundancy, resulting in the limitations of high computational complexity and high power consumption in security solutions. Our team aims to deepen the academic research on multimedia information security and improve the reliable security guarantee of its production, transmission, distribution, and application.https://ursa-ict.github.io/posts/big-data-security-and-privacy-protection/Thu, 12 May 2022 09:40:28 +0800Authorhttps://ursa-ict.github.io/posts/big-data-security-and-privacy-protection/Introduction 大数据是网络技术进步以及边界扩展所产生的人类行为数据的集合体，通过对行为大数据的分析，可以有效改善人类的生活方式。然而，在这个过程中，大数据的使用面临着严重的质疑。这其中尤其以数据存储、使用过程中的安全性以及数据对个人信息隐私保护问题最为突出。团队旨在大数据安全与隐私保护的产研结合，探究其新技术新理论并将其付诸于理论实践。 News 🎉 Nov. 2021: our paper “Efficient Top-k Matching for Publish/Subscribe Ride Hitching” accepted by TKDE (CCF A). Congrats to Yafei! Grants 国家自然科学基金区域创新发展联合基金项目（课题）：区块链的安全可控及攻击检测理论与方法研究，2022年-2025年 Big Data Security Efficient Top-k Matching for Publish/Subscribe Ride Hitching Yafei Li, Hongyan Gu, Rui Chen, Jianliang Xu, Shangwei Guo, Junxiao Xue, Mingliang Xu IEEE Transactions on Knowledge and Data Engineering, CCF Rank A C-Wall: Conflict-Resistance in Privacy-Preserving Cloud Storage Xiaoguo Li, Tao Xiang, Yi Mu, Fuchun Guo, Zhongyuan Yaohttps://ursa-ict.github.io/posts/applied-cryptography/Thu, 12 May 2022 09:40:28 +0800Authorhttps://ursa-ict.github.io/posts/applied-cryptography/Introduction 密码学作为用于控制数据访问的重要工具，被广泛的应用于任何传输、处理、存储数字化信息的场景中，是现代信息化社会构建的基石之一。当前，密码学研究的目标早已从最初的通信安全扩展到了计算安全。然而，现有密码学方案通常需要复杂的计算或通信，同时部署困难，导致其实用性较弱。团队旨在设计新型密码学方案与实用化现有密码学方案，为密码学方案在不同的场景的应用与部署提供保障。 News 🎉 2022.4: 我们的论文被TBD接收! 恭喜泌文和宏虹! Grants 国家自然科学基金青年基金项目: 支持复杂检索模式的动态可搜索公钥加密, 2022年-2024年 国家博士后创新人才支持计划: 面向实用安全的新型可搜索加密关键技术研究, 2021年-2023年 重点实验室开放基金：支持复杂检索模式的动态可搜索公钥加密关键技术研究，2021年-2023年 Design of Cryptographic Schemes Public key based searchable encryption with fine-grained sender permission control (Best Paper) Zhongming Wang, Biwen Chen, Tao Xiang, Lu Zhou, Hongyang Yan, Jin Li International Conference on Provable Security (ProvSec) Access control encryption without sanitizers for Internet of Energy Peng Wang, Tao Xiang, Xiaoguo Li, Hong Xiang Information Sciences, CCF Rank Bhttps://ursa-ict.github.io/posts/hardware-security/Thu, 12 May 2022 09:40:28 +0800Authorhttps://ursa-ict.github.io/posts/hardware-security/Introduction 物理层安全是指利用自然物理特性来实现信息安全，也可以成为物理内生安全，具体可来实现信息加密、产生密码、辨识合法用户等功能。它是作为上层安全的补充出现的，可以极大地增强整个系统的安全性能。物理层是网络运行的基石,为数据传输提供了物理连接,没有物理层,网络就成了无根之木、无源之水，最基本的是要确保网络物理层的安全运行，因此物理层安全是整个网络安全系统不可缺少和忽视的组成部分。 News 🎉 2021.1: 我们的论文被TWC接收! Grants 国家自然科学基金青年项目：基于高频波束模式轨迹的射频指纹技术，2022年-2024年 重庆市自然科学基金面上项目：基于高频载波物理特性的低复杂安全认证，2022年-2024年 重庆留学人员回国创业创新支持计划 （优秀）：新型高频射频指纹技术，2022年-2024年 装备预研教育部联合基金: 新型毫米波射频指纹技术研究，2022.01–2023.12 Network and Hardware Security Orientation and Channel-Independent RF Fingerprinting for 5G IEEE 802.11ad Devices Ning Wang, Weiwei Li, Long Jiao, Amir Alipour-Fanid, Tao Xiang, Kai Zeng IEEE Internet of Things Journal Pilot Contamination Attack Detection for 5G MmWave Grant-Free IoT Networks Ning Wang, Weiwei Li, Amir Alipour-Fanid, Long Jiao, Monireh Dabaghchian, Kai Zeng IEEE Transactions on Information Forensics and Security, CCF_Rank A