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: "android permissions remystified a field study on contextual integrity"
  Abstract: Due to the amount of data that smartphone applications can potentially access, platforms enforce permission systems that allow users to regulate how applications access protected resources. If users are asked to make security decisions too frequently and in benign situations, they may become habituated and approve all future requests without regard for the consequences. If they are asked to make too few security decisions, they may become concerned that the platform is revealing too much sensitive information. To explore this tradeoff, we instrumented the Android platform to collect data regarding how often and under what circumstances smartphone applications are accessing protected resources regulated by permissions. We performed a 36-person field study to explore the notion of "contextual integrity," that is, how often are applications accessing protected resources when users are not expecting it? Based on our collection of 27 million data points and exit interviews with participants, we examine the situations in which users would like the ability to deny applications access to protected resources. We found out that at least 80% of our participants would have preferred to prevent at least one permission request, and overall, they thought that over a third of requests were invasive and desired a mechanism to block them.

Connected through hyperedge HE-1 (induced by source paper "an android application risk evaluation framework based on minimum permission set identification"):
  with members:
    - "apples and oranges detecting least privilege violators with peer group analysis"

Connected through hyperedge HE-2 (induced by source paper "the android platform security model"):
  with members:
    - "spectre attacks exploiting speculative execution"
    - "i know what leaked in your pocket uncovering privacy leaks on android apps with static taint analysis"

Connected through hyperedge HE-3 (induced by source paper "i make up a silly name understanding children s perception of privacy risks online"):
  with members:
    - "third party tracking in the mobile ecosystem"
    - "implicit contextual integrity in online social networks"

Connected through hyperedge HE-4 (induced by source paper "evaluating the information security awareness of smartphone users"):
  with members:
    - "privacy leakage in mobile computing tools methods and characteristics"

Connected through hyperedge HE-5 (induced by source paper "discovering smart home internet of things privacy norms using contextual integrity"):
  with members:
    - "a smart home is no castle privacy vulnerabilities of encrypted iot traffic"
    - "implicit contextual integrity in online social networks"

Connected through hyperedge HE-6 (induced by source paper "keeping context in mind automating mobile app access control with user interface inspection"):
  with members:
    - "leaksemantic identifying abnormal sensitive network transmissions in mobile applications"
    - "the feasibility of dynamically granted permissions aligning mobile privacy with user preferences"
    - "flowintent detecting privacy leakage from user intention to network traffic mapping"
    - "demo recon revealing and controlling pii leaks in mobile network traffic"
    - "conxsense automated context classification for context aware access control"
    - "smote synthetic minority over sampling technique"

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)