Mobile crowdsensing (MCS) is becoming an increasingly important topic due to rapid proliferation of mobile apps where participants’ anonymity is a pivotal requirement with direct impacts on their safety and well being. There are two main challenges in crypto-based privacy-preserving aggregation in MCS, namely, participants joining or leaving the crowd randomly at will, and adversaries injecting fake data. The conventional approach for preserving privacy is to provide blanket anonymity to all, including adversaries, which enables the latter to cause harm without being identified. In addition, with the proliferation of edge servers, there is a need to develop edge-assisted MCS, which would be more efficient in terms of less back-haul traffic and less delay as compared to cloud-assisted-only MCS. In this paper, we present an efficient edge-assisted MCS scheme which preserves the participants’ privacy and anonymity, protects the service against adversaries, and can be used to verify that aggregation is free of anomalies. Our scheme is transparent to the join-and-leave problem; and its computational cost and communication overhead are small and fixed, i.e., it is insensitive to crowd count. We utilize group signature for source authentication to identify and block adversaries that cause harm while providing anonymity to ordinary participants.

中文翻译：

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用于移动群智隐私保护的边缘辅助公钥同态加密

由于移动应用程序的迅速普及，移动人群感知 (MCS) 正成为一个越来越重要的话题，其中参与者的匿名性是一项关键要求，直接影响他们的安全和福祉。MCS 中基于密码的隐私保护聚合存在两个主要挑战，即参与者随意加入或随机离开人群，以及攻击者注入虚假数据。保护隐私的传统方法是为包括对手在内的所有人提供全面匿名，这使得后者能够在不被识别的情况下造成伤害。此外，随着边缘服务器的激增，需要开发边缘辅助的 MCS，与仅由云辅助的 MCS 相比，它在更少的回程流量和更少的延迟方面效率更高。在本文中，我们提出了一种有效的边缘辅助 MCS 方案，它可以保护参与者的隐私和匿名性，保护服务免受对手攻击，并可用于验证聚合是否没有异常。我们的方案对加入和离开问题是透明的；并且其计算成本和通信开销小且固定，即它对人群计数不敏感。我们利用群签名进行来源认证，以识别和阻止造成伤害的对手，同时为普通参与者提供匿名。它对人群数量不敏感。我们利用群签名进行来源认证，以识别和阻止造成伤害的对手，同时为普通参与者提供匿名。它对人群数量不敏感。我们利用群签名进行来源认证，以识别和阻止造成伤害的对手，同时为普通参与者提供匿名。