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 "active secure coding based on eavesdropper behavior learning"):
  Abstract: The secrecy capacity achieving problem of the wiretap channel against an active eavesdropper with unlimited computational power over is an important foresighted task for secure communication. For active wiretap channel, the effectiveness of cryptography embedded secure coding schemes are limited due to the passive problem of physical layer coding. Thus in this paper, a novel solution called active secure coding scheme is proposed which combines physical secure coding with machine learning to implement an active defense against the active eavesdropper. #R##N#To construct an universal active method for secure coding, an abstract active wiretap channel model is constructed under the detectable precondition, in which hidden Markov model is employed to build the internal eavesdropper behavior pattern (the stochastic process for eavesdropper behavior states) with stochastically mapped external observations. Based on the abstract model, an eavesdropper behavior pattern learning and eavesdropper behavior states decoding are constructed for estimating the optimal eavesdropper behavior states, which enables the secure coding scheme to respond the eavesdropper actively. Then this active secure coding method is performed to the general varying wiretap channel to construct an explicit active secure polar coding scheme. As proofed, the proposed active secure polar coding scheme can theoretically achieve the average secrecy capacity of $t$ times secure transmissions under the reliability and strong security criterions.

Includes members:
  Member "a new wiretap channel model and its strong secrecy capacity":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "explicit codes for the wiretap channel a unified design framework")
  Member "arbitrarily varying wiretap channels with type constrained states":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the arbitrarily varying channel with colored gaussian noise")
  Member "polar coding for the general wiretap channel":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "secure polar coding with delayed wiretapping information")
  Member "imperfect secrecy in wiretap channel ii":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "toward optimal secure distributed storage systems with exact repair")
  Member "achieving the secrecy capacity of wiretap channels using polar codes":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "explicit codes for the wiretap channel a unified design framework")
  Member "channel polarization a method for constructing capacity achieving codes for symmetric binary input memoryless channels":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "reed muller codes theory and algorithms")

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)