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

Shakre Elmane, M. Silaghi
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Abstract

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 Zero/negative 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.
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处理分布式免费和开源软件元推荐中更新审查器的更改
在自由和开源软件(FOSS)的世界里,更新并不总是更好!自动更新到最新版本的自由/开源软件应用程序涉及真正的风险。新版本可能会缺少一些功能,这些功能对一些用户来说是必不可少的,但开发人员却放弃了这些功能。另一种可能的情况是,项目被恶意开发人员接管,他们以用户的敏感数据为目标,或者对他们的系统造成其他类型的破坏,这种情况会带来更严重的后果。在这项研究中,我们改进了现有的自由/开源软件更新元建议框架(在[2],[3]中),以增加对某些攻击的抵抗力。我们研究如何更有效地处理评论者加入和/或离开P2P网络的情况,而不会对推荐的准确性或系统的性能产生重大影响。我们研究了一些方法:审稿人自我宣布,使用零/负信任权重,引入删除/删除消息和消息老化。我们还介绍了对当前框架所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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