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 "a survey on modality characteristics performance evaluation metrics and security for traditional and wearable biometric systems"):
  Abstract: Biometric research is directed increasingly towards Wearable Biometric Systems (WBS) for user authentication and identification. However, prior to engaging in WBS research, how their operational dynamics and design considerations differ from those of Traditional Biometric Systems (TBS) must be understood. While the current literature is cognizant of those differences, there is no effective work that summarizes the factors where TBS and WBS differ, namely, their modality characteristics, performance, security and privacy. To bridge the gap, this paper accordingly reviews and compares the key characteristics of modalities, contrasts the metrics used to evaluate system performance, and highlights the divergence in critical vulnerabilities, attacks and defenses for TBS and WBS. It further discusses how these factors affect the design considerations for WBS, the open challenges and future directions of research in these areas. In doing so, the paper provides a big-picture overview of the important avenues of challenges and potential solutions that researchers entering the field should be aware of. Hence, this survey aims to be a starting point for researchers in comprehending the fundamental differences between TBS and WBS before understanding the core challenges associated with WBS and its design.

Includes members:
  Member "survey on synchrophasor data quality and cybersecurity challenges and evaluation of their interdependencies":
    also connected through other hyperedges:
      (none)
  Member "secure management of low power fitness trackers":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "iot security an end to end view and case study")
  Member "secure management of low power fitness trackers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "iot security an end to end view and case study")
  Member "handwritten signature verification using hand worn devices":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "fmcode a 3d in the air finger motion based user login framework for gesture interface")
  Member "evolution toward 5g multi tier cellular wireless networks an interference management perspective":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a survey on the security and the evolution of osmotic and catalytic computing for 5g networks")
  Member "an overview of face liveness detection":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "feathernets convolutional neural networks as light as feather for face anti spoofing")
  Member "enhancing the accuracy of biometric feature extraction fusion using gabor filter and mahalanobis distance algorithm":
    also connected through other hyperedges:
      (none)
  Member "bad data injection attack and defense in electricity market using game theory study":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "state of the art of cyber physical systems security an automatic control perspective")

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)