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: "sok sanitizing for security"
  Abstract: The C and C++ programming languages are notoriously insecure yet remain indispensable. Developers therefore resort to a multi-pronged approach to find security issues before adversaries. These include manual, static, and dynamic program analysis. Dynamic bug finding tools --- henceforth "sanitizers" --- can find bugs that elude other types of analysis because they observe the actual execution of a program, and can therefore directly observe incorrect program behavior as it happens. #R##N#A vast number of sanitizers have been prototyped by academics and refined by practitioners. We provide a systematic overview of sanitizers with an emphasis on their role in finding security issues. Specifically, we taxonomize the available tools and the security vulnerabilities they cover, describe their performance and compatibility properties, and highlight various trade-offs.

Connected through hyperedge HE-1 (induced by source paper "binary level directed fuzzing for use after free vulnerabilities"):
  with members:
    - "matryoshka fuzzing deeply nested branches"
    - "weizz automatic grey box fuzzing for structured binary formats"
    - "get rid of inline assembly through verification oriented lifting"
    - "fairfuzz a targeted mutation strategy for increasing greybox fuzz testing coverage"
    - "evaluating fuzz testing"
    - "assurances in software testing a roadmap"
    - "the art science and engineering of fuzzing a survey"
    - "neuzz efficient fuzzing with neural program smoothing"

Connected through hyperedge HE-2 (induced by source paper "sma eliminate memory spatial errors via saturation memory access"):
  with members:
    - "automatic software repair a bibliography"

Connected through hyperedge HE-3 (induced by source paper "enforcing private data usage control with blockchain and attested off chain contract execution"):
  with members:
    - "ekiden a platform for confidentiality preserving trustworthy and performant smart contracts"
    - "private data objects an overview"
    - "chiron privacy preserving machine learning as a service"
    - "chexnet radiologist level pneumonia detection on chest x rays with deep learning"
    - "use privacy in data driven systems theory and experiments with machine learnt programs"
    - "enhancing bitcoin security and performance with strong consistency via collective signing"
    - "enigma decentralized computation platform with guaranteed privacy"

Connected through hyperedge HE-4 (induced by source paper "exploitation techniques and defenses for data oriented attacks"):
  with members:
    - "oei operation execution integrity for embedded devices"
    - "block oriented programming automating data only attacks"
    - "hardscope thwarting dop with hardware assisted run time scope enforcement"
    - "control flow integrity precision security and performance"

Connected through hyperedge HE-5 (induced by source paper "dmon a distributed heterogeneous n variant system"):
  with members:
    - "block oriented programming automating data only attacks"
    - "inferring fine grained control flow inside sgx enclaves with branch shadowing"
    - "rowhammer js a remote software induced fault attack in javascript"
    - "drama exploiting dram addressing for cross cpu attacks"

Connected through hyperedge HE-6 (induced by source paper "practical byte granular memory blacklisting using califorms"):
  with members:
    - "spectre attacks exploiting speculative execution"
    - "memory tagging and how it improves c c memory safety"
    - "effectivesan type and memory error detection using dynamically typed c c"

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)