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: "exploiting social navigation"
  Abstract: We present an effective Sybil attack against social location based services. Our attack is based on creating a large number of reputed "bot drivers", and controlling their reported locations using fake GPS reports. We show how this attack can be used to influence social navigation systems by applying it to Waze - a prominent social navigation application used by over 50 million drivers. We show that our attack can fake traffic jams and dramatically influence routing decisions. We present several techniques for preventing the attack, and show that effective mitigation likely requires the use of additional carrier information.

Connected through hyperedge HE-1 (induced by source paper "sadan scalable adversary detection in autonomous networks"):
  with members:
    - "scalable byzantine consensus via hardware assisted secret sharing"
    - "wise lightweight intelligent swarm attestation scheme for iot the verifier s perspective"
    - "a survey on low latency towards 5g ran core network and caching solutions"
    - "c flat control flow attestation for embedded systems software"
    - "enhancing bitcoin security and performance with strong consistency via collective signing"
    - "in network outlier detection in wireless sensor networks"
    - "code injection attacks on harvard architecture devices"

Connected through hyperedge HE-2 (induced by source paper "internet of things iot and cloud computing enabled disaster management"):
  with members:
    - "cross layer multi cloud real time application qos monitoring and benchmarking as a service framework"
    - "the anatomy of big data computing"
    - "multi cloud resource provisioning with aneka a unified and integrated utilisation of microsoft azure and amazon ec2 instances"
    - "a cloud infrastructure service recommendation system for optimizing real time qos provisioning constraints"
    - "big data computing and clouds"

Connected through hyperedge HE-3 (induced by source paper "defending against sybil devices in crowdsourced mapping services"):
  with members:
    - "social turing tests crowdsourcing sybil detection"
    - "location cheating a security challenge to location based social network services"

Connected through hyperedge HE-4 (induced by source paper "attacks and defenses in crowdsourced mapping services"):
  with members:
    - "location cheating a security challenge to location based social network services"

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)