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: "measuring and mitigating as level adversaries against tor"
  Abstract: The popularity of Tor as an anonymity system has made it a popular target for a variety of attacks. We focus on traffic correlation attacks, which are no longer solely in the realm of academic research with recent revelations about the NSA and GCHQ actively working to implement them in practice. #R##N#Our first contribution is an empirical study that allows us to gain a high fidelity snapshot of the threat of traffic correlation attacks in the wild. We find that up to 40% of all circuits created by Tor are vulnerable to attacks by traffic correlation from Autonomous System (AS)-level adversaries, 42% from colluding AS-level adversaries, and 85% from state-level adversaries. In addition, we find that in some regions (notably, China and Iran) there exist many cases where over 95% of all possible circuits are vulnerable to correlation attacks, emphasizing the need for AS-aware relay-selection. #R##N#To mitigate the threat of such attacks, we build Astoria--an AS-aware Tor client. Astoria leverages recent developments in network measurement to perform path-prediction and intelligent relay selection. Astoria reduces the number of vulnerable circuits to 2% against AS-level adversaries, under 5% against colluding AS-level adversaries, and 25% against state-level adversaries. In addition, Astoria load balances across the Tor network so as to not overload any set of relays.

Connected through hyperedge HE-1 (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"
    - "raptor routing attacks on privacy in 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-2 (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"
    - "raptor routing attacks on privacy in 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"

Connected through hyperedge HE-3 (induced by source paper "sabre protecting bitcoin against routing attacks"):
  with members:
    - "counter raptor safeguarding tor against active routing attacks"
    - "heavy hitter detection entirely in the data plane"
    - "hijacking bitcoin routing attacks on cryptocurrencies"
    - "enhancing bitcoin security and performance with strong consistency via collective signing"
    - "holding all the ases identifying and circumventing the pitfalls of as aware tor client design"
    - "deanonymisation of clients in bitcoin p2p network"

Connected through hyperedge HE-4 (induced by source paper "towards predicting efficient and anonymous tor circuits"):
  with members:
    - "counter raptor safeguarding tor against active routing attacks"
    - "raptor routing attacks on privacy in tor"
    - "avoiding the man on the wire improving tor s security with trust aware path selection"

Connected through hyperedge HE-5 (induced by source paper "counter raptor safeguarding tor against active routing attacks"):
  with members:
    - "raptor routing attacks on privacy in tor"
    - "defending tor from network adversaries a case study of network path prediction"

Connected through hyperedge HE-6 (induced by source paper "holding all the ases identifying and circumventing the pitfalls of as aware tor client design"):
  with members:
    - "raptor routing attacks on privacy in tor"
    - "defending tor from network adversaries a case study of network path prediction"

Connected through hyperedge HE-7 (induced by source paper "avoiding the man on the wire improving tor s security with trust aware path selection"):
  with members:
    - "defending tor from network adversaries a case study of network path prediction"
    - "pisces anonymous communication using social networks"
    - "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.CR(Cryptography and Security)