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: "discharged payment channels quantifying the lightning network s resilience to topology based attacks"
  Abstract: The Lightning Network is the most widely used payment channel network (PCN) to date, making it an attractive attack surface for adversaries. In this paper, we analyze the Lightning Network's PCN topology and investigate its resilience towards random failures and targeted attacks. In particular, we introduce the notions of channel exhaustion and node isolation attacks and show that the Lightning Network is susceptible to these attacks. In a preliminary analysis, we confirm that the Lightning Network can be classified as a small-world and scale-free network. Based on these findings, we develop a series of strategies for targeted attacks and introduce metrics that allow us to quantify the adversary's advantage. Our results indicate that an attacker who is able to remove a certain number of nodes should follow a centrality-based strategy, while a resource-limited attacker who aims for high efficiency should employ a highest ranked minimum cut strategy.

Connected through hyperedge HE-1 (induced by source paper "congestion attacks in payment channel networks"):
  with members:
    - "concurrency and privacy with payment channel networks"
    - "privacy utility tradeoffs in routing cryptocurrency over payment channel networks"
    - "hijacking routes in payment channel networks a predictability tradeoff"
    - "topological analysis of bitcoin s lightning network"
    - "towards secure and efficient payment channels"
    - "sprites and state channels payment networks that go faster than lightning"

Connected through hyperedge HE-2 (induced by source paper "toward active and passive confidentiality attacks on cryptocurrency off chain networks"):
  with members:
    - "hijacking routes in payment channel networks a predictability tradeoff"
    - "a cryptoeconomic traffic analysis of bitcoins lightning network"
    - "flash efficient dynamic routing for offchain networks"

Connected through hyperedge HE-3 (induced by source paper "a cryptoeconomic traffic analysis of bitcoins lightning network"):
  with members:
    - "privacy utility tradeoffs in routing cryptocurrency over payment channel networks"
    - "topological analysis of bitcoin s lightning network"
    - "the evolution of lightning network s topology during its first year and the influence over its core values"
    - "payment networks as creation games"
    - "ant routing algorithm for the lightning network"
    - "payment network design with fees"
    - "towards an economic analysis of routing in payment channel networks"
    - "sprites and state channels payment networks that go faster than lightning"

Connected through hyperedge HE-4 (induced by source paper "how to profit from payments channels"):
  with members:
    - "celer network bring internet scale to every blockchain"
    - "payment network design with fees"
    - "towards an economic analysis of routing in payment channel networks"
    - "sprites and state channels payment networks that go faster than lightning"
    - "how to charge lightning"
    - "improving the betweenness centrality of a node by adding links"
    - "settling payments fast and private efficient decentralized routing for path based transactions"

Connected through hyperedge HE-5 (induced by source paper "hijacking routes in payment channel networks a predictability tradeoff"):
  with members:
    - "decentralization in bitcoin and ethereum networks"
    - "a survey on the security of blockchain systems"
    - "improving the betweenness centrality of a node by adding links"
    - "hijacking bitcoin routing attacks on cryptocurrencies"
    - "hijacking bitcoin large scale network attacks on cryptocurrencies"
    - "analysis of hashrate based double spending"

Connected through hyperedge HE-6 (induced by source paper "a percolation model for the emergence of the bitcoin lightning network"):
  with members:
    - "a model of the optimal selection of crypto assets"
    - "topological analysis of bitcoin s lightning network"
    - "a cryptoeconomic traffic analysis of bitcoins lightning network"
    - "how to charge lightning"

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)