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: "combining ensemble methods and social network metrics for improving accuracy of ocsvm on intrusion detection in scada systems"
  Abstract: Modern Supervisory Control and Data Acquisition SCADA systems used by the electric utility industry to monitor and control electric power generation, transmission and distribution are recognized today as critical components of the electric power delivery infrastructure. SCADA systems are large, complex and incorporate increasing numbers of widely distributed components. The presence of a real time intrusion detection mechanism, which can cope with di?erent types of attacks, is of great importance, in order to defend a system against cyber attacks This defense mechanism must be distributed, cheap and above all accurate, since false positive alarms, or mistakes regarding the origin of the intrusion mean severe costs for the system. Recently an integrated detection mechanism, namely IT-OCSVM was proposed, which is distributed in a SCADA network as a part of a distributed intrusion detection system (IDS), providing accurate data about the origin and the time of an intrusion. In this paper we also analyze the architecture of the integrated detection mechanism and we perform extensive simulations based on real cyber attacks in a small SCADA testbed in order to evaluate the performance of the proposed mechanism.

Connected through hyperedge HE-1 (induced by source paper "authentication access control privacy threats and trust management towards securing fog computing environments a review"):
  with members:
    - "user s privacy in recommendation systems applying online social network data a survey and taxonomy"
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"
    - "fogbus a blockchain based lightweight framework for edge and fog computing"
    - "fog computing survey of trends architectures requirements and research directions"
    - "blockchain in internet of things challenges and solutions"
    - "big data computing and clouds"
    - "non stationary resource allocation policies for delay constrained video streaming application to video over internet of things enabled networks"

Connected through hyperedge HE-2 (induced by source paper "internet of cloud security and privacy issues"):
  with members:
    - "privacy preserving schemes for ad hoc social networks a survey"
    - "a survey on privacy preserving schemes for smart grid communications"
    - "internet of things iot a vision architectural elements and future directions"
    - "compute and storage clouds using wide area high performance networks"
    - "cloud computing and grid computing 360 degree compared"

Connected through hyperedge HE-3 (induced by source paper "a survey on privacy preserving schemes for smart grid communications"):
  with members:
    - "technical privacy metrics a systematic survey"
    - "privacy discovery and authentication for the internet of things"
    - "the mason test a defense against sybil attacks in wireless networks without trusted authorities"
    - "password protected smart card and memory stick authentication against off line dictionary attacks"

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)