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: "developing a correlation index to identify coordinated cyber attacks to power grids"
  Abstract: The large deployment of Information and Communication Technology~(ICT) exposes the power grid to a large number of coordinated cyber-attacks. Thus, it is necessary to design new security policies that allow an efficient and reliable operation in such conflicted cyber-space. The detection of cyber-attacks is known to be a challenging problem, however, through the coordinated effort of defense-in-depth tools (e.g., Intrusion Detection Systems~(IDSs), firewalls, etc.) together with grid context information, the grid's real security situation can be estimated. In this paper, we derive a Correlation Index~(CI) using grid context information (i.e., analytical models of attack goals and grid responses). The CI reflects the spatial correlation of cyber-attacks and the physical grid, i.e., indicates the target cyber-devices associated to attack goals. This is particularly important to identify (together with intrusion data from IDSs) coordinated cyber-attacks that aim to manipulate static power applications, and ultimately cause severe consequences on the grid. In particular, the proposed CI, its properties, and defense implications are analytically derived and numerically tested for the Security Constrained Economic Dispatch~(SCED) control loop subject to measurement attacks. However, our results can be extended to other static power applications, such as Reactive Power support, Optimal Power Flow, etc.

Connected through hyperedge HE-1 (induced by source paper "application of correlation indices on intrusion detection systems protecting the power grid against coordinated attacks"):
  with members:
    - "vulnerability analysis and consequences of false data injection attack on power system state estimation"

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.SY(Systems and Control)