human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "authentication and authorization for mobile iot devices using bio features recent advances and future trends"):
  Abstract: Bio-features are fast becoming a key tool to authenticate the IoT devices; in this sense, the purpose of this investigation is to summaries the factors that hinder biometrics models' development and deployment on a large scale, including human physiological (e.g., face, eyes, fingerprints-palm, or electrocardiogram) and behavioral features (e.g., signature, voice, gait, or keystroke). The different machine learning and data mining methods used by authentication and authorization schemes for mobile IoT devices are provided. Threat models and countermeasures used by biometrics-based authentication schemes for mobile IoT devices are also presented. More specifically, We analyze the state of the art of the existing biometric-based authentication schemes for IoT devices. Based on the current taxonomy, We conclude our paper with different types of challenges for future research efforts in biometrics-based authentication schemes for IoT devices.

Includes members:
  Member "blockchain technologies for the internet of things research issues and challenges":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the security reference architecture for blockchains towards a standardized model for studying vulnerabilities threats and defenses")
  Member "multimodal biometric authentication using choquet integral and genetic algorithm":
    also connected through other hyperedges:
      (none)
  Member "a survey on behavioral biometric authentication on smartphones":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "continuous authentication of smartphones based on application usage")
  Member "deep learning based dynamic watermarking for secure signal authentication in the internet of things":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "generative adversarial networks for distributed intrusion detection in the internet of things")
  Member "partial face detection for continuous authentication":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "authentication schemes for smart mobile devices threat models countermeasures and open research issues")
  Member "hmog new behavioral biometric features for continuous authentication of smartphone users":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a report on personally identifiable sensor data from smartphone devices")
  Member "touchin sightless two factor authentication on multi touch mobile devices":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a comprehensive survey on machine learning techniques and user authentication approaches for credit card fraud detection")
  Member "touchalytics on the applicability of touchscreen input as a behavioral biometric for continuous authentication":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "on the resilience of biometric authentication systems against random inputs")

Question: Please tell me which class the source paper 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)