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: "achieving shannon capacity region as secrecy rate region in a multiple access wiretap channel"
  Abstract: We consider a two user multiple-access channel with an eavesdropper at the receiving end. We use previously transmitted messages as a key in the next slot till we achieve the capacity region of the usual Multiple Access Channel (MAC).

Connected through hyperedge HE-1 (induced by source paper "mitigating rate loss in fading multiple access wiretap channel to achieve shannon capacity region"):
  with members:
    - "achieving shannon capacity in a fading wiretap channel"
    - "strong secrecy for multiple access channels"
    - "previous messages provide the key to achieve shannon capacity in a wiretap channel"
    - "achievable secrecy sum rate in a fading mac wt with power control and without csi of eavesdropper"
    - "strong secrecy from channel resolvability"
    - "the wiretap channel with feedback encryption over the channel"
    - "the gaussian multiple access wire tap channel"

Connected through hyperedge HE-2 (induced by source paper "enhancing secrecy rate region for recent messages for a slotted multiple access wiretap channel to shannon capacity region"):
  with members:
    - "achieving shannon capacity in a wiretap channel via previous messages"
    - "strong secrecy for multiple access channels"
    - "previous messages provide the key to achieve shannon capacity in a wiretap channel"
    - "achievable secrecy sum rate in a fading mac wt with power control and without csi of eavesdropper"

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.IT(Information Theory)