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: "raptor routing attacks on privacy in tor"
  Abstract: The Tor network is a widely used system for anonymous communication. However, Tor is known to be vulnerable to attackers who can observe traffic at both ends of the communication path. In this paper, we show that prior attacks are just the tip of the iceberg. We present a suite of new attacks, called Raptor, that can be launched by Autonomous Systems (ASes) to compromise user anonymity. First, AS-level adversaries can exploit the asymmetric nature of Internet routing to increase the chance of observing at least one direction of user traffic at both ends of the communication. Second, AS-level adversaries can exploit natural churn in Internet routing to lie on the BGP paths for more users over time. Third, strategic adversaries can manipulate Internet routing via BGP hijacks (to discover the users using specific Tor guard nodes) and interceptions (to perform traffic analysis). We demonstrate the feasibility of Raptor attacks by analyzing historical BGP data and Traceroute data as well as performing real-world attacks on the live Tor network, while ensuring that we do not harm real users. In addition, we outline the design of two monitoring frameworks to counter these attacks: BGP monitoring to detect control-plane attacks, and Traceroute monitoring to detect data-plane anomalies. Overall, our work motivates the design of anonymity systems that are aware of the dynamics of Internet routing.

Connected through hyperedge HE-1 (induced by source paper "blind adversarial network perturbations"):
  with members:
    - "universal adversarial audio perturbations"
    - "one pixel attack for fooling deep neural networks"
    - "mockingbird defending against deep learning based website fingerprinting attacks with adversarial traces"
    - "deep fingerprinting undermining website fingerprinting defenses with deep learning"
    - "deepcorr strong flow correlation attacks on tor using deep learning"
    - "automated website fingerprinting through deep learning"
    - "var cnn and dynaflow improved attacks and defenses for website fingerprinting"
    - "adversarial examples are not easily detected bypassing ten detection methods"

Connected through hyperedge HE-2 (induced by source paper "configtron tackling network diversity with heterogeneous configurations"):
  with members:
    - "an empirical view on content provider fairness"
    - "beyond socket options making the linux tcp stack truly extensible"
    - "iroko a framework to prototype reinforcement learning for data center traffic control"
    - "internet congestion control via deep reinforcement learning"
    - "bestconfig tapping the performance potential of systems via automatic configuration tuning"
    - "pcc re architecting congestion control for consistent high performance"
    - "a tutorial on bayesian optimization of expensive cost functions with application to active user modeling and hierarchical reinforcement learning"

Connected through hyperedge HE-3 (induced by source paper "on the complexity of anonymous communication through public networks"):
  with members:
    - "tempest temporal dynamics in anonymity systems"
    - "practical and provably secure onion routing"
    - "atom horizontally scaling strong anonymity"
    - "riposte an anonymous messaging system handling millions of users"
    - "the melbourne shuffle improving oblivious storage in the cloud"
    - "calibrating data to sensitivity in private data analysis"
    - "probabilistic analysis of onion routing in a black box model"

Connected through hyperedge HE-4 (induced by source paper "using bursty announcements for early detection of bgp routing anomalies"):
  with members:
    - "a survey among network operators on bgp prefix hijacking"
    - "artemis neutralizing bgp hijacking within a minute"
    - "burstiness of intrusion detection process empirical evidence and a modeling approach"
    - "hijacking bitcoin routing attacks on cryptocurrencies"
    - "bgp security in partial deployment is the juice worth the squeeze"

Connected through hyperedge HE-5 (induced by source paper "the maestro attack orchestrating malicious flows with bgp"):
  with members:
    - "business model of a botnet"
    - "withdrawing the bgp re routing curtain understanding the security impact of bgp poisoning via real world measurements"
    - "hijacking bitcoin routing attacks on cryptocurrencies"
    - "sibra scalable internet bandwidth reservation architecture"

Connected through hyperedge HE-6 (induced by source paper "deco liberating web data using decentralized oracles for tls"):
  with members:
    - "astraea a decentralized blockchain oracle"
    - "augur a decentralized open source platform for prediction markets"

Connected through hyperedge HE-7 (induced by source paper "deepcorr strong flow correlation attacks on tor using deep learning"):
  with members:
    - "automated website fingerprinting through deep learning"
    - "counter raptor safeguarding tor against active routing attacks"
    - "tensorflow a system for large scale machine learning"
    - "measuring and mitigating as level adversaries against tor"
    - "k fingerprinting a robust scalable website fingerprinting technique"
    - "adam a method for stochastic optimization"
    - "defending tor from network adversaries a case study of network path prediction"
    - "non blind watermarking of network flows"

Connected through hyperedge HE-8 (induced by source paper "tempest temporal dynamics in anonymity systems"):
  with members:
    - "onions in the crosshairs when the man really is out to get you"
    - "measuring and mitigating as level adversaries against tor"
    - "k fingerprinting a robust scalable website fingerprinting technique"
    - "hornet high speed onion routing at the network layer"
    - "avoiding the man on the wire improving tor s security with trust aware path selection"
    - "dovetail stronger anonymity in next generation internet routing"
    - "defending tor from network adversaries a case study of network path prediction"
    - "stealthy traffic analysis of low latency anonymous communication using throughput fingerprinting"

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.NI(Networking and Internet Architecture)