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: "investigating the distribution of password choices"
  Abstract: The distribution of passwords chosen by users has implications for site security, password-handling algorithms and even how users are permitted to select passwords. Using password lists from four different web sites, we investigate if Zipf's law is a good description of the frequency with which passwords are chosen. We use a number of standard statistics, which measure the security of password distributions, to see if modelling the data using a simple distribution is effective. We then consider how much the password distributions from each site have in common, using password cracking as a metric. This shows that these distributions have enough high-frequency passwords in common to provide effective speed-ups for cracking passwords. Finally, as an alternative to a deterministic banned list, we will show how to stochastically shape the distribution of passwords, by occasionally asking users to choose a different password.

Connected through hyperedge HE-1 (induced by source paper "passlab a password security tool for the blue team"):
  with members:
    - "optimizing password composition policies"

Connected through hyperedge HE-2 (induced by source paper "universal randomized guessing with application to asynchronous decentralized brute force attacks"):
  with members:
    - "why botnets work distributed brute force attacks need no synchronization"
    - "centralized vs decentralized multi agent guesswork"
    - "guesswork subject to a total entropy budget"
    - "guessing attacks on distributed storage systems"
    - "multi user guesswork and brute force security"
    - "asymptotics and non asymptotics for universal fixed to variable source coding"
    - "guesswork large deviations and shannon entropy"
    - "guessing a password over a wireless channel on the effect of noise non uniformity"

Connected through hyperedge HE-3 (induced by source paper "exploring the impact of password dataset distribution on guessing"):
  with members:
    - "passgan a deep learning approach for password guessing"
    - "evaluating password advice"

Connected through hyperedge HE-4 (induced by source paper "reducing guesswork via an unreliable oracle"):
  with members:
    - "improved bounds on lossless source coding and guessing moments via r e nyi measures"
    - "on the listsize capacity with feedback"
    - "guessing revisited a large deviations approach"
    - "optimal feedback communication via posterior matching"
    - "guessing under source uncertainty"

Connected through hyperedge HE-5 (induced by source paper "multi user guesswork and brute force security"):
  with members:
    - "encoding tasks and renyi entropy"
    - "guesswork large deviations and shannon entropy"
    - "brute force searching the typical set and guesswork"
    - "guessing a password over a wireless channel on the effect of noise non uniformity"
    - "lists that are smaller than their parts a coding approach to tunable secrecy"
    - "the shannon cipher system with a guessing wiretapper general sources"
    - "guessing revisited a large deviations approach"
    - "guessing based on length functions"

Connected through hyperedge HE-6 (induced by source paper "quantifying the computational security of multi user systems"):
  with members:
    - "encoding tasks and renyi entropy"
    - "guesswork large deviations and shannon entropy"
    - "brute force searching the typical set and guesswork"
    - "guessing a password over a wireless channel on the effect of noise non uniformity"
    - "lists that are smaller than their parts a coding approach to tunable secrecy"
    - "the shannon cipher system with a guessing wiretapper general sources"
    - "guessing revisited a large deviations approach"
    - "guessing based on length functions"

Connected through hyperedge HE-7 (induced by source paper "guesswork large deviations and shannon entropy"):
  with members:
    - "lists that are smaller than their parts a coding approach to tunable secrecy"
    - "guessing revisited a large deviations approach"
    - "guessing based on length functions"

Connected through hyperedge HE-8 (induced by source paper "protecting public osn posts from unintended access"):
  with members:
    - "profile popularity in a business oriented online social network"

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)