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 "finite state markov wiretap channel with delayed feedback"):
  Abstract: The mobile wireless communication channel is often modeled as a finite state Markov channel (FSMC). In this paper, we study the security issue in the mobile wireless communication systems by considering the FSMC with an eavesdropper, which we call the finite state Markov wiretap channel (FSM-WC). More specifically, the FSM-WC is a channel with one input (the transmitter) and two outputs (the legitimate receiver and the eavesdropper). The transition probability of the FSM-WC is controlled by a channel state which takes values in a finite set, and it undergoes a Markov process. We assume that the state is perfectly known by the legitimate receiver and the eavesdropper, and through a noiseless feedback channel, the legitimate receiver sends its output and the state back to the transmitter after some time delay. The main contribution of this paper is as follows. First, we provide inner and outer bounds on the capacity-equivocation region of the FSM-WC with only delayed state feedback, and we show that these bounds meet for the degraded case (the channel output for the eavesdropper is a degraded version of that for the legitimate receiver). Second, inner and outer bounds on the capacity-equivocation region of the FSM-WC with delayed state and legitimate receiver's output feedback are provided, and we also show that these bounds meet for the degraded case. Third, Unlike the fact that the receiver's delayed output feedback does not increase the capacity of the FSMC with only delayed state feedback, we find that for the degraded case, the legitimate receiver's delayed output feedback enhances the capacity-equivocation region of the FSM-WC with only delayed state feedback. The above results are further explained via degraded Gaussian and Gaussian fading examples.

Includes members:
  Member "multiple access relay wiretap channel":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "feedback coding schemes for the broadcast channel with mutual secrecy requirement")
  Member "relay broadcast channel with confidential messages":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "dispensing with noise forward in the weak relay eavesdropper channel")
  Member "multiaccess channel with partially cooperating encoders and security constraints":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "secure lossy source coding for some classes of helper and gray wyner models")
  Member "secret writing on dirty paper a deterministic view":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "wiretap and gelfand pinsker channels analogy and its applications")
  Member "interference assisted secret communication":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "jammer assisted resource allocation in secure ofdma with untrusted users")
  Member "on the capacity of memoryless finite state multiple access channels with asymmetric state information at the encoders":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "cooperative multiple access channels with distributed state information")
  Member "capacity bounds for broadcast channels with confidential messages":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "optimal secure gdof of symmetric gaussian wiretap channel with a helper")
  Member "discrete memoryless interference and broadcast channels with confidential messages secrecy rate regions":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "cognitive radio networks an information theoretic perspective")

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)