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: "a new approach for improvement security against dos attacks in vehicular ad hoc network"
  Abstract: Vehicular Ad-Hoc Networks (VANET) are a proper subset of mobile wireless networks, where nodes are revulsive, the vehicles are armed with special electronic devices on the motherboard OBU (On Board Unit) which enables them to trasmit and receive messages from other vehicles in the VANET. Furthermore the communication between the vehicles, the VANET interface is donated by the contact points with road infrastructure. VANET is a subgroup of MANETs. Unlike the MANETs nodes, VANET nodes are moving very fast. Impound a permanent route for the dissemination of emergency messages and alerts from a danger zone is a very challenging task. Therefore, routing plays a significant duty in VANETs. decreasing network overhead, avoiding network congestion, increasing traffic congestion and packet delivery ratio are the most important issues associated with routing in VANETs. In addition, VANET network is subject to various security attacks. In base VANET systems, an algorithm is used to dicover attacks at the time of confirmation in which overhead delay occurs. This paper proposes (P-Secure) approach which is used for the detection of DoS attacks before the confirmation time. This reduces the overhead delays for processing and increasing the security in VANETs. Simulation results show that the P-Secure approach, is more efficient than OBUmodelVaNET approach in terms of PDR, e2e_delay, throughput and drop packet 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:
    - "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"
    - "an efficient routing protocol in mobile ad hoc networks by using artificial immune system"
    - "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"
    - "an efficient routing protocol in mobile ad hoc networks by using artificial immune system"

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:
    - "securing of unmanned aerial systems uas against security threats using human immune system"
    - "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"
    - "amc model for denial of sleep attack detection"
    - "lightweight hierarchical model for hwsnet"

Connected through hyperedge HE-4 (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"
    - "an efficient routing protocol in mobile ad hoc networks by using artificial immune system"

Connected through hyperedge HE-5 (induced by source paper "an artificial immune based approach for detection and isolation misbehavior attacks in wireless networks"):
  with members:
    - "an efficient routing protocol in mobile ad hoc networks by using artificial immune system"
    - "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.CR(Cryptography and Security)