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: "participatory privacy enabling privacy in participatory sensing"
  Abstract: Participatory Sensing is an emerging computing paradigm that enables the distributed collection of data by self-selected participants. It allows the increasing number of mobile phone users to share local knowledge acquired by their sensor-equipped devices, e.g., to monitor temperature, pollution level or consumer pricing information. While research initiatives and prototypes proliferate, their real-world impact is often bounded to comprehensive user participation. If users have no incentive, or feel that their privacy might be endangered, it is likely that they will not participate. In this article, we focus on privacy protection in Participatory Sensing and introduce a suitable privacy-enhanced infrastructure. First, we provide a set of definitions of privacy requirements for both data producers (i.e., users providing sensed information) and consumers (i.e., applications accessing the data). Then, we propose an efficient solution designed for mobile phone users, which incurs very low overhead. Finally, we discuss a number of open problems and possible research directions.

Connected through hyperedge HE-1 (induced by source paper "deeprotect enabling inference based access control on mobile sensing applications"):
  with members:
    - "6thsense a context aware sensor based attack detector for smart devices"
    - "multi sensor authentication to improve smartphone security"
    - "rappor randomized aggregatable privacy preserving ordinal response"
    - "caffe convolutional architecture for fast feature embedding"
    - "touchalytics on the applicability of touchscreen input as a behavioral biometric for continuous authentication"
    - "placeraider virtual theft in physical spaces with smartphones"
    - "blind compressed sensing"

Connected through hyperedge HE-2 (induced by source paper "online participatory sensing in double auction environment with location information"):
  with members:
    - "quality adaptive online double auction in participatory sensing"
    - "incentive mechanisms for participatory sensing survey and research challenges"
    - "models for truthful online double auctions"

Connected through hyperedge HE-3 (induced by source paper "hiring expert consultants in e healthcare with budget constraint"):
  with members:
    - "hiring doctors in e healthcare with zero budget"
    - "incentive mechanisms for participatory sensing survey and research challenges"
    - "on cost effective incentive mechanisms in microtask crowdsourcing"
    - "budget feasible mechanisms"

Connected through hyperedge HE-4 (induced by source paper "quality adaptive online double auction in participatory sensing"):
  with members:
    - "providing long term participation incentive in participatory sensing"
    - "models for truthful online double auctions"

Connected through hyperedge HE-5 (induced by source paper "privacy leakage in mobile computing tools methods and characteristics"):
  with members:
    - "privacy in sensor driven human data collection a guide for practitioners"
    - "i know what leaked in your pocket uncovering privacy leaks on android apps with static taint analysis"
    - "a case of collusion a study of the interface between ad libraries and their apps"
    - "longitudinal analysis of android ad library permissions"
    - "adsplit separating smartphone advertising from applications"

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)