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: "the impact of secure oss on internet security what cyber insurers need to know"
  Abstract: In recent years, researchers have proposed \emph{cyber-insurance} as a suitable risk-management technique for enhancing security in Internet-like distributed systems. However, amongst other factors, information asymmetry between the insurer and the insured, and the inter-dependent and correlated nature of cyber risks have contributed in a big way to the failure of cyber-insurance markets. Security experts have argued in favor of operating system (OS) platform switching (ex., from Windows to Unix-based OSs) or secure OS adoption as being one of the techniques that can potentially mitigate the problems posing a challenge to successful cyber-insurance markets. In this regard we model OS platform switching dynamics using a \emph{social gossip} mechanism and study three important questions related to the nature of the dynamics, for Internet-like distributed systems: (i) which type of networks should cyber-insurers target for insuring?, (ii) what are the bounds on the asymptotic performance level of a network, where the performance parameter is an average function of the long-run individual user willingness to adopt secure OSs?, and (iii) how can cyber-insurers use the topological information of their clients to incentivize/reward them during offering contracts? Our analysis is important to a profit-minded cyber-insurer, who wants to target the right network, design optimal contracts to resolve information asymmetry problems, and at the same time promote the increase of overall network security through increasing secure OS adoption amongst users.

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)