In this work, two practical concepts related to private information retrieval (PIR) are introduced and coined full support-rank PIR and strongly linear PIR. Being of full support-rank is a technical, yet natural condition required to prove a converse result for a capacity expression and satisfied by almost all currently known capacity-achieving schemes, while strong linearity is a practical requirement enabling implementation over small finite fields with low subpacketization degree. Then, the capacity of MDS-coded, linear, full support-rank PIR in the presence of colluding servers is derived, as well as the capacity of symmetric, linear PIR with colluding, adversarial, and nonresponsive servers for the recently introduced concept of matched randomness. This positively settles the capacity conjectures stated by Freij-Hollanti et al. and Tajeddine et al. in the presented cases. It is also shown that, further restricting to strongly-linear PIR schemes with deterministic linear interference cancellation, the so-called star product scheme proposed by Freij-Hollanti et al. is essentially optimal and induces no capacity loss.
翻译:在这项工作中,引入了与私人信息检索有关的两个实际概念,并创建了全部支持级PIR和强烈线性PIR。 完全支持级是一个技术但自然条件,以证明能力表达的反效果,并符合几乎所有目前已知的能力实现计划,而强的对称性是一个实际要求,使在低分包化程度的小型有限领域能够实施。随后,MDS编码的、线性、全面支持级PIR在串通服务器面前的能力以及对称性、线性PIR与串通性、对称性和不反应性服务器在近期引入的随机性概念方面的能力得到衍生,这积极解决了Freij-Hollanti等人和Tajedddine等人在所述的能力预测。还表明,Freij-Hollanti等人提出的所谓恒星产品计划,进一步限制具有确定性线性线性干扰的强线性PIR计划,从根本上说来是最佳的,不会造成能力损失。