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: "apples and oranges detecting least privilege violators with peer group analysis"
  Abstract: Clustering software into peer groups based on its apparent functionality allows for simple, intuitive categorization of software that can, in particular, help identify which software uses comparatively more privilege than is necessary to implement its functionality. Such relative comparison can improve the security of a software ecosystem in a number of ways. For example, it can allow market operators to incentivize software developers to adhere to the principle of least privilege, e.g., by encouraging users to use alternative, less-privileged applications for any desired functionality. This paper introduces software peer group analysis, a novel technique to identify least privilege violation and rank software based on the severity of the violation. We show that peer group analysis is an effective tool for detecting and estimating the severity of least privilege violation. It provides intuitive, meaningful results, even across different definitions of peer groups and security-relevant privileges. Our evaluation is based on empirically applying our analysis to over a million software items, in two different online software markets, and on a validation of our assumptions in a medium-scale user study.

Connected through hyperedge HE-1 (induced by source paper "an android application risk evaluation framework based on minimum permission set identification"):
  with members:
    - "android permissions remystified a field study on contextual integrity"

Connected through hyperedge HE-2 (induced by source paper "data driven software security models and methods"):
  with members:
    - "rappor randomized aggregatable privacy preserving ordinal response"

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)