human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "covert communication with finite blocklength in awgn channels"):
  Abstract: Covert communication is to achieve a reliable transmission from a transmitter to a receiver while guaranteeing an arbitrarily small probability of this transmission being detected by a warden. In this work, we study the covert communication in AWGN channels with finite blocklength, in which the number of channel uses is finite. Specifically, we analytically prove that the entire block (all available channel uses) should be utilized to maximize the effective throughput of the transmission subject to a predetermined covert requirement. This is a nontrivial result because more channel uses results in more observations at the warden for detecting the transmission. We also determine the maximum allowable transmit power per channel use, which is shown to decrease as the blocklength increases. Despite the decrease in the maximum allowable transmit power per channel use, the maximum allowable total power over the entire block is proved to increase with the blocklength, which leads to the fact that the effective throughput increases with the blocklength.

Includes members:
  Member "covert communication in fading channels under channel uncertainty":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "finite blocklength analysis of gaussian random coding in awgn channels under covert constraints ii a viewpoint of total variation distance")
  Member "on covert communication with noise uncertainty":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "finite blocklength analysis of gaussian random coding in awgn channels under covert constraints ii a viewpoint of total variation distance")
  Member "fundamental limits of communication with low probability of detection":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "keyless covert communication via channel state information")
  Member "covert communication over noisy channels a resolvability perspective":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "keyless covert communication via channel state information")
  Member "optimization of code rates in sisome wiretap channels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "covert wireless communications with channel inversion power control in rayleigh fading")
  Member "lpd communication when the warden does not know when":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "multi antenna covert communications in random wireless networks")
  Member "throughput of cognitive radio systems with finite blocklength codes":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "noma enhanced terrestrial and aerial iot networks with partial csi")
  Member "reliable deniable communication hiding messages in noise":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "keyless covert communication via channel state information")

Question: Please tell me which class the source paper 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)