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: "truth in web mining measuring the profitability and cost of cryptominers as a web monetization model"
  Abstract: The recent advances of web-based cryptomining libraries along with the whopping market value of cryptocoins have convinced an increasing number of publishers to switch to web mining as a source of monetization for their websites. The conditions could not be better nowadays: the inevitable arms race between adblockers and advertisers is at its peak with publishers caught in the crossfire. But, can cryptomining be the next primary monetization model in the post advertising era of free Internet? In this paper, we respond to this exact question. In particular, we compare the profitability of cryptomining and advertising to assess the most advantageous option for a content provider. In addition, we measure the costs imposed to the user in each case with regards to power consumption, resources utilization, network traffic, device temperature and user experience. Our results show that cryptomining can surpass the profitability of advertising under specific circumstances, however users need to sustain a significant cost on their devices.

Connected through hyperedge HE-1 (induced by source paper "keeping out the masses understanding the popularity and implications of internet paywalls"):
  with members:
    - "cookie synchronization everything you always wanted to know but were afraid to ask"
    - "no more chasing waterfalls a measurement study of the header bidding ad ecosystem"
    - "speedreader reader mode made fast and private"
    - "who filters the filters understanding the growth usefulness and efficiency of crowdsourced ad blocking"
    - "tracking the trackers towards understanding the mobile advertising and tracking ecosystem"

Connected through hyperedge HE-2 (induced by source paper "a first look at the crypto mining malware ecosystem a decade of unrestricted wealth"):
  with members:
    - "a first look at browser based cryptojacking"
    - "web based cryptojacking in the wild"
    - "digging into browser based crypto mining"
    - "end to end analysis of in browser cryptojacking"
    - "hardening stratum the bitcoin pool mining protocol"

Connected through hyperedge HE-3 (induced by source paper "dissecting android cryptocurrency miners"):
  with members:
    - "a first look at the crypto mining malware ecosystem a decade of unrestricted wealth"
    - "a first look at browser based cryptojacking"
    - "web based cryptojacking in the wild"
    - "digging into browser based crypto mining"
    - "end to end analysis of in browser cryptojacking"

Connected through hyperedge HE-4 (induced by source paper "another brick in the paywall the popularity and privacy implications of paywalls"):
  with members:
    - "cookie synchronization everything you always wanted to know but were afraid to ask"
    - "no more chasing waterfalls a measurement study of the header bidding ad ecosystem"
    - "speedreader reader mode made fast and private"
    - "who filters the filters understanding the growth usefulness and efficiency of crowdsourced ad blocking"
    - "tracking the trackers towards understanding the mobile advertising and tracking ecosystem"

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)