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: "physical layer security over correlated erasure channels"
  Abstract: Recent accomplishments in physical-layer security research have shown that channel coding for secrecy can be effectively combined with security at other layers, such as cryptography at the application layer, in order to provide a significant security enhancement to communication systems. The goal of this previous work was to inhibit the passive eavesdropper in the wiretap channel model by encoding the ciphertext using nonsystematic low-density parity-check (LDPC) codes prior to transmission and by exploiting the advantage of feedback for legitimate parties. The net result was propagation of a single packet erasure to the detriment of the entire message. The security enhancement was characterized assuming statistically independent packet erasure channels (PECs) for the legitimate receiver and the eavesdropper. In this paper, we go beyond these results by addressing correlated erasure events across the two channels in a wiretap feedback framework. The intuitive notion that high correlation across channels reduces secrecy is shown through the complete characterization of the correlated channel scenario. Furthermore, it is shown that security improvements are still achievable in the face of positive correlation by means of judicious physical-layer design, even when the eavesdropper has a better channel than the legitimate receiver.

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)