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: "secure transmission of sources over noisy channels with side information at the receivers"
  Abstract: This paper investigates the problem of source-channel coding for secure transmission with arbitrarily correlated side informations at both receivers. This scenario consists of an encoder (referred to as Alice) that wishes to compress a source and send it through a noisy channel to a legitimate receiver (referred to as Bob). In this context, Alice must simultaneously satisfy the desired requirements on the distortion level at Bob and the equivocation rate at the eavesdropper (referred to as Eve). This setting can be seen as a generalization of the problems of secure source coding with (uncoded) side information at the decoders and the wiretap channel. A general outer bound on the rate-distortion-equivocation region, as well as an inner bound based on a pure digital scheme, is derived for arbitrary channels and side informations. In some special cases of interest, it is proved that this digital scheme is optimal and that separation holds. However, it is also shown through a simple counterexample with a binary source that a pure analog scheme can outperform the digital one while being optimal. According to these observations and assuming matched bandwidth, a novel hybrid digital/analog scheme that aims to gather the advantages of both digital and analog ones is then presented. In the quadratic Gaussian setup when side information is only present at the eavesdropper, this strategy is proved to be optimal. Furthermore, it outperforms both digital and analog schemes and cannot be achieved via time-sharing. Through an appropriate coding, the presence of any statistical difference among the side informations, the channel noises, and the distortion at Bob can be fully exploited in terms of secrecy.

Connected through hyperedge HE-1 (induced by source paper "secret key generation over noisy channels with correlated sources"):
  with members:
    - "secret key generation from correlated sources and secure link"
    - "wiretap channels with random states non causally available at the encoder"
    - "a channel under simultaneous jamming and eavesdropping attack correlated random coding capacities under strong secrecy criteria"
    - "secret key generation over noisy channels with common randomness"
    - "semantic security capacity for wiretap channels of type ii"
    - "the wiretap channel with generalized feedback secure communication and key generation"
    - "secret key agreement general capacity and second order asymptotics"
    - "coded cooperative data exchange for a secret key"

Connected through hyperedge HE-2 (induced by source paper "source channel secrecy for shannon cipher system"):
  with members:
    - "joint source channel secrecy using uncoded schemes towards secure source broadcast"
    - "joint source channel secrecy using hybrid coding"
    - "the henchman problem measuring secrecy by the minimum distortion in a list"
    - "information spectrum approach to strong converse theorems for degraded wiretap channels"
    - "information spectrum approach to the source channel separation theorem"
    - "lossy joint source channel coding in the finite blocklength regime"
    - "transmitting an analog gaussian source over a gaussian wiretap channel under snr mismatch"

Connected through hyperedge HE-3 (induced by source paper "secret key generation over noisy channels with common randomness"):
  with members:
    - "the wiretap channel with generalized feedback secure communication and key generation"
    - "secure multiterminal source coding with side information at the eavesdropper"
    - "secret key generation using correlated sources and channels"
    - "secrecy via sources and channels"

Connected through hyperedge HE-4 (induced by source paper "information leakage of heterogeneous encoded correlated sequences over eavesdropped channel"):
  with members:
    - "secure multiterminal source coding with side information at the eavesdropper"

Connected through hyperedge HE-5 (induced by source paper "a rate distortion based secrecy system with side information at the decoders"):
  with members:
    - "the likelihood encoder for lossy source compression"
    - "a bit of secrecy for gaussian source compression"
    - "the likelihood encoder for source coding"
    - "distributed channel synthesis"
    - "rate distortion theory for secrecy systems"
    - "secrecy is cheap if the adversary must reconstruct"
    - "using a secret key to foil an eavesdropper"
    - "secure lossy source coding with side information at the decoders"

Connected through hyperedge HE-6 (induced by source paper "correlated source coded sequences with compromised channel and source symbols using shannon s cipher system"):
  with members:
    - "secure multiterminal source coding with side information at the eavesdropper"
    - "imperfect secrecy in wiretap channel ii"
    - "the shannon cipher system with a guessing wiretapper general sources"
    - "shannon s secrecy system with informed receivers and its application to systematic coding for wiretapped channels"

Connected through hyperedge HE-7 (induced by source paper "information leakage of correlated source coded sequences over channel with an eavesdropper"):
  with members:
    - "secure multiterminal source coding with side information at the eavesdropper"
    - "the shannon cipher system with a guessing wiretapper general sources"

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)