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: "settling payments fast and private efficient decentralized routing for path based transactions"
  Abstract: Path-based transaction (PBT) networks, which settle payments from one user to another via a path of intermediaries, are a growing area of research. They overcome the scalability and privacy issues in cryptocurrencies like Bitcoin and Ethereum by replacing expensive and slow on-chain blockchain operations with inexpensive and fast off-chain transfers. In the form of credit networks such as Ripple and Stellar, they also enable low-price real-time gross settlements across different currencies. For example, SilentWhsipers is a recently proposed fully distributed credit network relying on path-based transactions for secure and in particular private payments without a public ledger. At the core of a decentralized PBT network is a routing algorithm that discovers transaction paths between payer and payee. During the last year, a number of routing algorithms have been proposed. However, the existing ad hoc efforts lack either efficiency or privacy. In this work, we first identify several efficiency concerns in SilentWhsipers. Armed with this knowledge, we design and evaluate SpeedyMurmurs, a novel routing algorithm for decentralized PBT networks using efficient and flexible embedding-based path discovery and on-demand efficient stabilization to handle the dynamics of a PBT network. Our simulation study, based on real-world data from the currently deployed Ripple credit network, indicates that SpeedyMurmurs reduces the overhead of stabilization by up to two orders of magnitude and the overhead of routing a transaction by more than a factor of two. Furthermore, using SpeedyMurmurs maintains at least the same success ratio as decentralized landmark routing, while providing lower delays. Finally, SpeedyMurmurs achieves key privacy goals for routing in PBT networks.

Connected through hyperedge HE-1 (induced by source paper "hushrelay a privacy preserving efficient and scalable routing algorithm for off chain payments"):
  with members:
    - "concurrency and privacy with payment channel networks"
    - "topological analysis of bitcoin s lightning network"
    - "ant routing algorithm for the lightning network"
    - "routing cryptocurrency with the spider network"
    - "consensus in the age of blockchains"
    - "towards a concurrent and distributed route selection for payment channel networks"
    - "casper the friendly finality gadget"
    - "voute virtual overlays using tree embeddings"

Connected through hyperedge HE-2 (induced by source paper "ant routing scalability for the lightning network"):
  with members:
    - "topological analysis of bitcoin s lightning network"
    - "imbalance measure and proactive channel rebalancing algorithm for the lightning network"
    - "ant routing algorithm for the lightning network"
    - "routing cryptocurrency with the spider network"
    - "txprobe discovering bitcoin s network topology using orphan transactions"
    - "high throughput cryptocurrency routing in payment channel networks"
    - "double spend races"

Connected through hyperedge HE-3 (induced by source paper "throughput optimal routing in blockchain based payment systems"):
  with members:
    - "atomic cross chain swaps"
    - "high throughput cryptocurrency routing in payment channel networks"
    - "pricing and optimization in shared vehicle systems an approximation framework"
    - "privacy preserving shortest path computation"
    - "online advertisement optimization and stochastic networks"

Connected through hyperedge HE-4 (induced by source paper "improving sustainability of cryptocurrency payment networks for iot applications"):
  with members:
    - "flash efficient dynamic routing for offchain networks"
    - "high throughput cryptocurrency routing in payment channel networks"

Connected through hyperedge HE-5 (induced by source paper "balance transfers and bailouts in credit networks using blockchains"):
  with members:
    - "concurrency and privacy with payment channel networks"
    - "voute virtual overlays using tree embeddings"

Connected through hyperedge HE-6 (induced by source paper "privacy utility tradeoffs in routing cryptocurrency over payment channel networks"):
  with members:
    - "concurrency and privacy with payment channel networks"
    - "celer network bring internet scale to every blockchain"
    - "routing cryptocurrency with the spider network"
    - "ohie blockchain scaling made simple"
    - "high throughput cryptocurrency routing in payment channel networks"
    - "dandelion redesigning the bitcoin network for anonymity"
    - "deanonymisation of clients in bitcoin p2p network"
    - "extremal mechanisms for local differential privacy"

Connected through hyperedge HE-7 (induced by source paper "how to profit from payments channels"):
  with members:
    - "discharged payment channels quantifying the lightning network s resilience to topology based attacks"
    - "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"

Connected through hyperedge HE-8 (induced by source paper "discharged payment channels quantifying the lightning network s resilience to topology based attacks"):
  with members:
    - "topological analysis of bitcoin s lightning network"
    - "towards secure and efficient payment channels"
    - "decentralization in bitcoin and ethereum networks"
    - "towards a concurrent and distributed route selection for payment channel networks"
    - "teechan payment channels using trusted execution environments"

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)