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: "active authentication on mobile devices via stylometry application usage web browsing and gps location"
  Abstract: Active authentication is the problem of continuously verifying the identity of a person based on behavioral aspects of their interaction with a computing device. In this paper, we collect and analyze behavioral biometrics data from 200 subjects, each using their personal Android mobile device for a period of at least 30 days. This data set is novel in the context of active authentication due to its size, duration, number of modalities, and absence of restrictions on tracked activity. The geographical colocation of the subjects in the study is representative of a large closed-world environment such as an organization where the unauthorized user of a device is likely to be an insider threat: coming from within the organization. We consider four biometric modalities: 1) text entered via soft keyboard, 2) applications used, 3) websites visited, and 4) physical location of the device as determined from GPS (when outdoors) or WiFi (when indoors). We implement and test a classifier for each modality and organize the classifiers as a parallel binary decision fusion architecture. We are able to characterize the performance of the system with respect to intruder detection time and to quantify the contribution of each modality to the overall performance.

Connected through hyperedge HE-1 (induced by source paper "actions speak louder than pass words passive authentication of smartphone users via deep temporal features"):
  with members:
    - "multilock mobile active authentication based on multiple biometric and behavioral patterns"
    - "active user authentication for smartphones a challenge data set and benchmark results"
    - "learning human identity from motion patterns"
    - "hmog new behavioral biometric features for continuous authentication of smartphone users"
    - "adam a method for stochastic optimization"
    - "an hmm based behavior modeling approach for continuous mobile authentication"
    - "touchalytics on the applicability of touchscreen input as a behavioral biometric for continuous authentication"

Connected through hyperedge HE-2 (induced by source paper "continuous authentication of smartphones based on application usage"):
  with members:
    - "effect of context in swipe gesture based continuous authentication on smartphones"
    - "predicting smartphone battery life based on comprehensive and real time usage data"
    - "secure pick up implicit authentication when you start using the smartphone"
    - "a survey on behavioral biometric authentication on smartphones"
    - "active user authentication for smartphones a challenge data set and benchmark results"
    - "path person authentication using trace histories"
    - "learning human identity from motion patterns"
    - "touchalytics on the applicability of touchscreen input as a behavioral biometric for continuous authentication"

Connected through hyperedge HE-3 (induced by source paper "authentication schemes for smart mobile devices threat models countermeasures and open research issues"):
  with members:
    - "systematic classification of side channel attacks a case study for mobile devices"
    - "privacy preserving schemes for ad hoc social networks a survey"
    - "partial face detection for continuous authentication"
    - "hmog new behavioral biometric features for continuous authentication of smartphone users"
    - "touchin sightless two factor authentication on multi touch mobile devices"
    - "touchalytics on the applicability of touchscreen input as a behavioral biometric for continuous authentication"

Connected through hyperedge HE-4 (induced by source paper "continuous implicit authentication for mobile devices based on adaptive neuro fuzzy inference system"):
  with members:
    - "fuzzy logic based implicit authentication for mobile access control"
    - "event driven implicit authentication for mobile access control"
    - "data driven authentication on the effectiveness of user behaviour modelling with mobile device sensors"
    - "conxsense context sensing for adaptive usable access control"
    - "implementation and evaluation of measurement based admission control schemes within a converged networks qos management framework"

Connected through hyperedge HE-5 (induced by source paper "active user authentication for smartphones a challenge data set and benchmark results"):
  with members:
    - "deep feature based face detection on mobile devices"
    - "face alignment by local deep descriptor regression"
    - "partial face detection for continuous authentication"
    - "unconstrained face verification using deep cnn features"
    - "a deep pyramid deformable part model for face detection"
    - "learning human identity from motion patterns"
    - "learning face representation from scratch"
    - "touchalytics on the applicability of touchscreen input as a behavioral biometric for continuous authentication"

Connected through hyperedge HE-6 (induced by source paper "path person authentication using trace histories"):
  with members:
    - "active user authentication for smartphones a challenge data set and benchmark results"
    - "partial face detection for continuous authentication"
    - "learning human identity from motion patterns"

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)