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: "observation based cooperation enforcement in ad hoc networks"
  Abstract: Ad hoc networks rely on the cooperation of the nodes participating in the network to forward packets for each other. A node may decide not to cooperate to save its resources while still using the network to relay its traffic. If too many nodes exhibit this behavior, network performance degrades and cooperating nodes may find themselves unfairly loaded. Most previous efforts to counter this behavior have relied on further cooperation between nodes to exchange reputation information about other nodes. If a node observes another node not participating correctly, it reports this observation to other nodes who then take action to avoid being affected and potentially punish the bad node by refusing to forward its traffic. Unfortunately, such second-hand reputation information is subject to false accusations and requires maintaining trust relationships with other nodes. The objective of OCEAN is to avoid this trust-management machinery and see how far we can get simply by using direct first-hand observations of other nodes' behavior. We find that, in many scenarios, OCEAN can do as well as, or even better than, schemes requiring second-hand reputation exchanges. This encouraging result could possibly help obviate solutions requiring trust-management for some contexts.

Connected through hyperedge HE-1 (induced by source paper "security and privacy issues in wireless mesh networks a survey"):
  with members:
    - "secure and privacy preserving authentication protocols for wireless mesh networks"
    - "reputation and trust based systems for wireless self organizing networks"
    - "secure and privacy aware searching in peer to peer networks"
    - "an efficient and user privacy preserving routing protocol for wireless mesh networks"
    - "a distributed protocol for detection of packet dropping attack in mobile ad hoc networks"
    - "cross layer protocols for multimedia communications over wireless networks"
    - "secure routing in wireless mesh networks"
    - "a survey on wireless sensor network security"

Connected through hyperedge HE-2 (induced by source paper "to relay or not to relay learning device to device relaying strategies in cellular networks"):
  with members:
    - "on the complexity of solving markov decision problems"
    - "transmitting important bits and sailing high radio waves a decentralized cross layer approach to cooperative video transmission"
    - "reinforcement learning a survey"

Connected through hyperedge HE-3 (induced by source paper "performance analysis of observation based cooperation enforcement in ad hoc networks"):
  with members:
    - "impact of mobility on the performance of multicast routing protocols in manet"
    - "a new scheme for minimizing malicious behavior of mobile nodes in mobile ad hoc networks"

Connected through hyperedge HE-4 (induced by source paper "a mechanism for detection of cooperative black hole attack in mobile ad hoc networks"):
  with members:
    - "a distributed protocol for detection of packet dropping attack in mobile ad hoc networks"

Connected through hyperedge HE-5 (induced by source paper "2 p2p or not 2 p2p"):
  with members:
    - "preserving peer replicas by rate limited sampled voting"
    - "secure history preservation through timeline entanglement"

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)