human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "taranet traffic analysis resistant anonymity at the network layer"
  Abstract: Modern low-latency anonymity systems, no matter whether constructed as an overlay or implemented at the network layer, offer limited security guarantees against traffic analysis. On the other hand, high-latency anonymity systems offer strong security guarantees at the cost of computational overhead and long delays, which are excessive for interactive applications. We propose TARANET, an anonymity system that implements protection against traffic analysis at the network layer, and limits the incurred latency and overhead. In TARANET's setup phase, traffic analysis is thwarted by mixing. In the data transmission phase, end hosts and ASes coordinate to shape traffic into constant-rate transmission using packet splitting. Our prototype implementation shows that TARANET can forward anonymous traffic at over 50~Gbps using commodity hardware.

Connected through hyperedge HE-1 (induced by source paper "prifi low latency anonymity for organizational networks"):
  with members:
    - "i know what you saw last minute encrypted http adaptive video streaming title classification"
    - "the loopix anonymity system"
    - "atom horizontally scaling strong anonymity"
    - "device fingerprinting in wireless networks challenges and opportunities"
    - "riposte an anonymous messaging system handling millions of users"
    - "hornet high speed onion routing at the network layer"
    - "dovetail stronger anonymity in next generation internet routing"
    - "hang with your buddies to resist intersection attacks"

Connected through hyperedge HE-2 (induced by source paper "anonymizing masses practical light weight anonymity at the network level"):
  with members:
    - "a multi perspective analysis of carrier grade nat deployment"
    - "beyond counting new perspectives on the active ipv4 address space"
    - "hornet high speed onion routing at the network layer"
    - "dovetail stronger anonymity in next generation internet routing"
    - "netfence preventing internet denial of service from inside out"
    - "active internet traffic filtering real time response to denial of service attacks"

Connected through hyperedge HE-3 (induced by source paper "breaking and partially fixing provably secure onion routing"):
  with members:
    - "on privacy notions in anonymous communication"
    - "hornet high speed onion routing at the network layer"

Connected through hyperedge HE-4 (induced by source paper "prifi low latency metadata protection for organizational network"):
  with members:
    - "the loopix anonymity system"
    - "riposte an anonymous messaging system handling millions of users"
    - "dovetail stronger anonymity in next generation internet routing"
    - "proactively accountable anonymous messaging in verdict"

Question: Please tell me which class the center node 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)