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: "an efficient routing protocol in mobile ad hoc networks by using artificial immune system"
  Abstract: Characteristics of the mobile ad-hoc networks such as nodes high mobility and limited energy are regarded as the routing challenges in these networks. OLSR protocol is one of the routing protocols in mobile ad hoc network that selects the shortest route between source and destination through Dijkstra's algorithm. However, OLSR suffers from a major problem. It does not consider parameters such as nodes’ energy level and links length in its route processing. This paper employs the artificial immune system (AIS) to enhance efficiency of OLSR routing protocol. The proposed algorithm, called AIS-OLSR, considers hop count, remaining energy in the intermediate nodes, and distance among node, which is realized by negative selection and ClonalG algorithms of AIS. Widespread packet - level simulation in ns-2 environment, shows that AIS-OLSR outperforms OLSR and EA-OLSR in terms of packet delivery ratio, throughput, end-end delay and lifetime.

Connected through hyperedge HE-1 (induced by source paper "a novel countermeasure technique to protect wsn against denial of sleep attacks using firefly and hopfield neural network hnn algorithms"):
  with members:
    - "securing of unmanned aerial systems uas against security threats using human immune system"
    - "an artificial immune based approach for detection and isolation misbehavior attacks in wireless networks"
    - "a new approach for improvement security against dos attacks in vehicular ad hoc network"
    - "sleep deprivation attack detection in wireless sensor network"
    - "amc model for denial of sleep attack detection"
    - "lightweight hierarchical model for hwsnet"

Connected through hyperedge HE-2 (induced by source paper "multi level trust based intelligence schema for securing of internet of things iot against security threats using cryptographic authentication"):
  with members:
    - "securing of unmanned aerial systems uas against security threats using human immune system"
    - "securing wireless sensor networks against denial of sleep attacks using rsa cryptography algorithm and interlock protocol"
    - "security of the internet of things vulnerabilities attacks and countermeasures"
    - "an artificial immune based approach for detection and isolation misbehavior attacks in wireless networks"
    - "a new approach for improvement security against dos attacks in vehicular ad hoc network"

Connected through hyperedge HE-3 (induced by source paper "securing of unmanned aerial systems uas against security threats using human immune system"):
  with members:
    - "multi level trust based intelligence schema for securing of internet of things iot against security threats using cryptographic authentication"
    - "a novel countermeasure technique to protect wsn against denial of sleep attacks using firefly and hopfield neural network hnn algorithms"
    - "defending against intrusion of malicious uavs with networked uav defense swarms"
    - "a new approach for improvement security against dos attacks in vehicular ad hoc network"

Connected through hyperedge HE-4 (induced by source paper "an artificial immune based approach for detection and isolation misbehavior attacks in wireless networks"):
  with members:
    - "a new approach for improvement security against dos attacks in vehicular ad hoc network"
    - "an improvement over threads communications on multi core processors"

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)