CSR: Medium: Highly Scalable and Accurate System Support for Detecting Misbehaving Users and Mitigating Criminal Activities in Realtime Online Video-Based Services

本提案的主要目标是了解实时在线视频服务带来的安全问题，并开发高度可扩展和精确的解决方案和系统，以保护交互式视频用户的安全。虽然基于实时、在线视频的服务是新兴的服务，但它们已经获得了数百万用户的极大欢迎。这些服务为人们引入了新的互动方式，并有可能对普及计算和在线社交网络服务产生重大影响，甚至是革命性的影响。不幸的是，行为不端的用户可能会危及这些服务的整体效用，并给未成年人带来伤害。该提案研究了一些创新思想，包括细粒度级联分类和基于规则的逻辑回归预分类器，以提高可扩展性，同时保持准确性，结合来自智能手机传感器和应用场景的上下文信息来提高准确性，以及评估和规避网络欺凌的机制。整个系统将使用真实世界的数据进行部署和评估。随着实时、在线视频服务的日益普及以及未成年人接触不适当内容或网络欺凌攻击的威胁，开发有效的技术来检测这些服务的不良行为用户将对社会产生重大而深远的有益影响。从这个项目开发的所有软件将作为开源发布。该项目将通过正在进行的NSF GK-12项目，开发并整合有关互联网安全主题的教育课程模块到相关的初中和高中课程中。本科生和少数民族学生将通过科罗拉多多样性研究所和年度REU补充招募。

The main goal of this proposal is to understand the safety problems introduced by realtime online video-based services, and to develop highly scalable and accurate solutions and systems that protect the safety of interactive video users. While realtime, online video-based services are newly emerging services, they have already gained tremendous popularity with millions of users. These services introduce new ways for people to interact and have the potential to significantly impact, even revolutionize, pervasive computing and online social networking services. Unfortunately, the presence of misbehaving users may jeopardize the entire utility of these services and bring harm to minors. This proposal investigates innovative ideas including fine-grained cascaded classification and a rule-based pre-classifier with logistic regression to improve scalability while preserving accuracy, incorporating contextual information from smartphone sensors and application scenarios to improve accuracy, and mechanisms to evaluate and circumvent cyber-bullying. The complete system will be deployed and evaluated using real-world data. With the growing popularity of realtime, online video-based services and the threat to minors of being exposed to unsuitable content or cyber-bullying attacks, developing effective techniques for detecting misbehaving users of these services will have significant and far-reaching beneficial impacts on society. All software developed from this project will be released as open source. The project will develop and integrate educational course modules on Internet safety topics into relevant middle and high school courses via an on-going NSF GK-12 project. Undergraduate and minority students will be recruited via the Colorado Diversity Institute and annual REU supplements.