human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "prifi low latency metadata protection for organizational network"):
  Abstract: Organizational networks are vulnerable to traffic-analysis attacks that enable adversaries to infer sensitive information from network traffic -- even if encryption is used. We present PriFi, an anonymous communication protocol for LANs which provides identity protection and provable tracking-resistance against eavesdropper; it has low latency and is application agnostic. PriFi builds on Dining Cryptographers networks (DC-nets) and solves several of their limitations. For instance, the communication latency is reduced via a client/relay/server architecture tailored to LANs, where a set of servers assist the anonymization process without adding latency. Unlike mix networks and other DC-nets systems, a client's packets remain on their usual network path without additional hops. Moreover, PriFi protects clients against equivocation attacks without adding significant latency overhead and without requiring communication among clients. PriFi also detects disruption (jamming) attacks without costly consensus among servers. We evaluate the practicality of PriFi in the context of a large, real-world organization at risk of traffic-analysis attacks. Our results show that PriFi introduces a small latency overhead ($\approx120$ms for $100$ clients) and is compatible with delay-sensitive applications such as VoIP.

Includes members:
  Member "taranet traffic analysis resistant anonymity at the network layer":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "prifi low latency anonymity for organizational networks")
  Member "the loopix anonymity system":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "prifi low latency anonymity for organizational networks")
  Member "riposte an anonymous messaging system handling millions of users":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "prifi low latency anonymity for organizational networks")
  Member "dovetail stronger anonymity in next generation internet routing":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "prifi low latency anonymity for organizational networks")
  Member "proactively accountable anonymous messaging in verdict":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "prifi low latency anonymity for organizational networks")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CR(Cryptography and Security)