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: "options for encoding names for data linking at the australian bureau of statistics"
  Abstract: Publicly, ABS has said it would use a cryptographic hash function to convert names collected in the 2016 Census of Population and Housing into an unrecognisable value in a way that is not reversible. In 2016, the ABS engaged the University of Melbourne to provide expert advice on cryptographic hash functions to meet this objective. #R##N#For complex unit-record level data, including Census data, auxiliary data can be often be used to link individual records, even without names. This is the basis of ABS's existing bronze linking. This means that records can probably be re-identified without the encoded name anyway. Protection against re-identification depends on good processes within ABS. #R##N#The undertaking on the encoding of names should therefore be considered in the full context of auxiliary data and ABS processes. There are several reasonable interpretations: #R##N#1. That the encoding cannot be reversed except with a secret key held by ABS. This is the property achieved by encryption (Option 1), if properly implemented; #R##N#2. That the encoding, taken alone without auxiliary data, cannot be reversed to a single value. This is the property achieved by lossy encoding (Option 2), if properly implemented; #R##N#3. That the encoding doesn't make re-identification easier, or increase the number of records that can be re-identified, except with a secret key held by ABS. This is the property achieved by HMAC-based linkage key derivation using subsets of attributes (Option 3), if properly implemented. #R##N#We explain and compare the privacy and accuracy guarantees of five possible approaches. Options 4 and 5 investigate more sophisticated options for future data linking. We also explain how some commonly-advocated techniques can be reversed, and hence should not be used.

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)