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 "continuous authentication of smartphones based on application usage"):
  Abstract: An empirical investigation of active/continuous authentication for smartphones is presented in this paper by exploiting users' unique application usage data, i.e., distinct patterns of use, modeled by a Markovian process. Variations of Hidden Markov Models (HMMs) are evaluated for continuous user verification, and challenges due to the sparsity of session-wise data, an explosion of states, and handling unforeseen events in the test data are tackled. Unlike traditional approaches, the proposed formulation does not depend on the top N-apps, rather uses the complete app-usage information to achieve low latency. Through experimentation, empirical assessment of the impact of unforeseen events, i.e., unknown applications and unforeseen observations, on user verification is done via a modified edit-distance algorithm for simple sequence matching. It is found that for enhanced verification performance, unforeseen events should be incorporated in the models by adopting smoothing techniques with HMMs. For validation, extensive experiments on two distinct datasets are performed. The marginal smoothing technique is the most effective for user verification in terms of equal error rate (EER) and with a sampling rate of 1/30s^{-1} and 30 minutes of historical data, and the method is capable of detecting an intrusion within ~2.5 minutes of application use.

Includes members:
  Member "effect of context in swipe gesture based continuous authentication on smartphones":
    also connected through other hyperedges:
      (none)
  Member "predicting smartphone battery life based on comprehensive and real time usage data":
    also connected through other hyperedges:
      (none)
  Member "active authentication on mobile devices via stylometry application usage web browsing and gps location":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "actions speak louder than pass words passive authentication of smartphone users via deep temporal features")
  Member "secure pick up implicit authentication when you start using the smartphone":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "implicit smartphone user authentication with sensors and contextual machine learning")
  Member "a survey on behavioral biometric authentication on smartphones":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "authentication and authorization for mobile iot devices using bio features recent advances and future trends")
  Member "active user authentication for smartphones a challenge data set and benchmark results":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the resilience of biometric authentication systems against random inputs")
  Member "path person authentication using trace histories":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "be captcha detecting human behavior in smartphone interaction using multiple inbuilt sensors")
  Member "learning human identity from motion patterns":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "fedloc federated learning framework for cooperative localization and location data processing")

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)