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SaTC: CORE: Small: Modeling and Defense of Cyber Attacks for Improving Social Virtual Reality Resilience

SaTC：核心：小型：网络攻击建模和防御，以提高社交虚拟现实弹性

基本信息

批准号：
2114035
负责人：
KHAZA ANUARUL HOQUE
金额：
$ 25万
依托单位：
University of Missouri-Columbia
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2114035&HistoricalAwards=false
关键词：
SaTC CORE Small Modeling Defense

项目摘要

Social Virtual Reality (VR) Learning Environment (VRLE) technologies offer a new medium for flexible learning environments with geo-distributed users. Secure Social VRLEs can augment human performance in a wide range of domains including special education, disaster response training, and healthcare. This project’s goal is to investigate Social VRLEs deployed on networked systems that need to be properly designed for performance and resilience to prevent unique cyber-attacks. The consequences of ill-suited design make Social VRLEs vulnerable to security breaches and privacy leakage attacks that significantly impact users (e.g., STEM education students, first responders, patients). More severely, poor design as well as security and privacy attacks can cause disruption of user immersive experience. Hence, the project activities are focused on ensuring the security, privacy, and safety (SPS) in social VRLEs to enable safe and effective student learning activities. The project outcomes include theory and techniques for defense of attacks in social VRLEs. These outcomes will be disseminated to the broader community via open-source code, educational materials, peer-reviewed publications, design case studies, and data sets to foster the setup of trustworthy learning environments with a co-operative setting of geographically distributed users and VR devices. Towards meeting the above goal, this project aims to create a transformative co-design of learning and resilient aspects of social VRLEs. Project activities help address the knowledge gap in the understanding and quantitative measurement of how cyber-attacks influence the system and network factors that hinder the uninterrupted user immersive experience. Examples of these attacks include immersion attacks such as occlusion attack, Chaperone file attack and network fault scenarios. More specifically, the project objectives are: (i) to investigate techniques for formal modeling and scalable analysis of SPS threats/faults to model as well as analyze their inter-dependencies, inspired by attack-fault trees (AFTs). This investigation will include novel threat models in terms of AFTs and scalable techniques for formal analysis of AFTs; (ii) to collect threat intelligence on cyber-attacks in social VRLE deployments to detect critical anomaly events in real-time before the user safety gets compromised. This will lead to novel anomaly detection techniques based on machine learning models and statistical analysis techniques for the detection of cyber-attacks (single and multi-attack scenarios). The research outcomes validation features a real-world social VRLE that is hosted on available public cloud platforms.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

社会虚拟现实（VR）学习环境（VRLE）技术为具有地理分布用户的灵活学习环境提供了一种新的媒介。安全社会vrle可以在包括特殊教育、灾难响应培训和医疗保健在内的广泛领域提高人类的表现。该项目的目标是调查部署在网络系统上的Social vrle，这些系统需要适当地设计性能和弹性，以防止独特的网络攻击。设计不当的后果使社交vrle容易受到安全漏洞和隐私泄露攻击的影响，这些攻击会严重影响用户（例如，STEM教育学生、急救人员、患者）。更严重的是，糟糕的设计以及安全和隐私攻击可能会破坏用户沉浸式体验。因此，项目活动的重点是确保社交vrle中的安全、隐私和安全（SPS），以实现安全有效的学生学习活动。项目成果包括防御社交vrle攻击的理论和技术。这些成果将通过开源代码、教育材料、同行评审出版物、设计案例研究和数据集传播到更广泛的社区，以促进建立可信赖的学习环境，并与地理分布的用户和VR设备合作设置。为了实现上述目标，该项目旨在创建一个社会vrle学习和弹性方面的变革性共同设计。项目活动有助于解决理解和定量测量网络攻击如何影响系统和网络因素的知识差距，这些因素阻碍了不间断的用户沉浸式体验。这些攻击的示例包括闭塞攻击等沉浸式攻击、伴侣文件攻击和网络故障场景。更具体地说，该项目的目标是：(i)受攻击故障树（AFTs）的启发，研究SPS威胁/故障的形式化建模和可扩展分析技术，以建模并分析其相互依赖性。本研究将包括aft方面的新威胁模型和用于aft形式化分析的可扩展技术；（ii）在社交VRLE部署中收集有关网络攻击的威胁情报，以便在用户安全受到威胁之前实时发现关键异常事件。这将导致基于机器学习模型和统计分析技术的新型异常检测技术，用于检测网络攻击（单攻击和多攻击场景）。研究结果验证的特点是托管在可用的公共云平台上的真实社会VRLE。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning

DOI：
10.1109/ismar55827.2022.00096
发表时间：
2022-09
期刊：
2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
影响因子：
0
作者：
Ripan Kumar Kundu;Rifatul Islam;P. Calyam;K. A. Hoque
通讯作者：
Ripan Kumar Kundu;Rifatul Islam;P. Calyam;K. A. Hoque

Detection of Security and Privacy Attacks Disrupting User Immersive Experience in Virtual Reality Learning Environments

DOI：
10.1109/tsc.2022.3216539
发表时间：
2023-07
期刊：
IEEE Transactions on Services Computing
影响因子：
8.1
作者：
Samaikya Valluripally;Benjamin Frailey;Brady Kruse;Boonakij Palipatana;Roland Oruche;Aniket Gulhane;K. A. Hoque;P. Calyam
通讯作者：
Samaikya Valluripally;Benjamin Frailey;Brady Kruse;Boonakij Palipatana;Roland Oruche;Aniket Gulhane;K. A. Hoque;P. Calyam

Rule-based Adaptations to Control Cybersickness in Social Virtual Reality Learning Environments

基于规则的适应控制社交虚拟现实学习环境中的晕眩症

DOI：
10.1109/ficloud49777.2021.00057
发表时间：
2021
期刊：
2021 8th International Conference on Future Internet of Things and Cloud (FiCloud
影响因子：
0
作者：
Valluripally, Samaikya;Akashe, Vaibhav;Fisher, Michael;Falana, David;Hoque, Khaza Anuarul;Calyam, Prasad
通讯作者：
Calyam, Prasad

LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI

LiteVR：使用可解释的人工智能进行可解释的轻量级晕眩检测