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Handling changes of update reviewers in distributed free and open-source software meta-recommendations

机译:在分布式免费和开源软件元推荐中处理更新审阅者的更改

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In Free and Open-Source Software (FOSS) world, newer is not always better! Automatically updating to the latest version of FOSS applications involves real risks. The newer version could be missing some features, that are essential to some users, but are dropped by the developers. Another possible scenario, with even more serious consequences, is a project taken over by malicious developers who target users' sensitive data, or do other types of damage to their systems. In this research, we improve on the existing FOSS Updates Meta-Recommendations framework, which is shown (in [2], [3]) to increase resistance to certain attacks. We study how to handle more efficiently the situations where reviewers join and/or leave the P2P network, without a significant impact on the accuracy of recommendations or the performance of the system. We investigate some approaches: self-announcement by reviewer, the use of Zeroegative trust weights, introducing Drop/remove messages, and Message Aging. We also introduce some improvements on the message exchanging mechanism utilized by the current framework, to accommodate the newly added functionalities.
机译:在自由和开源软件(FOSS)的世界中,更新并不总是更好!自动更新到最新版本的FOSS应用程序会带来实际风险。较新的版本可能缺少某些功能,这些功能对于某些用户来说是必不可少的,但开发人员会放弃。另一个可能造成更严重后果的情况是,恶意开发人员接管了一个项目,这些项目针对用户的敏感数据或对其系统造成其他类型的破坏。在这项研究中,我们对现有的FOSS更新元建议框架进行了改进,该框架显示(在[2],[3]中)增加了对某些攻击的抵抗力。我们研究了如何更有效地处理审稿人加入和/或离开P2P网络的情况,而不会对建议的准确性或系统性能产生重大影响。我们研究了一些方法:审阅者的自我通知,零/负信任权的使用,引入删除/删除消息以及消息老化。我们还介绍了当前框架使用的消息交换机制的一些改进,以适应新添加的功能。

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