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: "securing of unmanned aerial systems uas against security threats using human immune system"
  Abstract: Abstract   UASs form a large part of the fighting ability of the advanced military forces. In particular, these systems that carry confidential information are subject to security attacks. Accordingly, an Intrusion Detection System (IDS) has been proposed in the proposed design to protect against the security problems using the human immune system (HIS). The IDSs are used to detect and respond to attempts to compromise the target system. Since the UASs operate in the real world, the testing and validation of these systems with a variety of sensors is confronted with problems. This design is inspired by HIS. In the mapping, insecure signals are equivalent to an antigen that are detected by antibody- based training patterns and removed from the operation cycle. Among the main uses of the proposed design are the quick detection of intrusive signals and quarantining their activity. Moreover, SUAS-HIS method is evaluated here via extensive simulations carried out in NS-3 environment. The simulation results indicate that the UAS network performance metrics are improved in terms of false positive rate, false negative rate, detection rate, and packet delivery rate.

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:
    - "an artificial immune based approach for detection and isolation misbehavior attacks in wireless networks"
    - "an efficient routing protocol in mobile ad hoc networks by using artificial immune system"
    - "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 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"
    - "an efficient routing protocol in mobile ad hoc networks by using artificial immune system"
    - "a new approach for improvement security against dos attacks in vehicular ad hoc network"

Connected through hyperedge HE-3 (induced by source paper "securing wireless sensor networks against denial of sleep attacks using rsa cryptography algorithm and interlock protocol"):
  with members:
    - "a novel countermeasure technique to protect wsn against denial of sleep attacks using firefly and hopfield neural network hnn algorithms"
    - "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"
    - "amc model for denial of sleep attack detection"
    - "lightweight hierarchical model for hwsnet"

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)