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: "low probability of detection communication opportunities and challenges"
  Abstract: Low probability of detection (LPD) communication has recently emerged as a new transmission technology to address privacy and security in wireless networks. Recent studies have established the fundamental limits of LPD communication in terms of the amount of information bits that can be conveyed from a transmitter to a receiver subject to a constraint on a warden's detection error probability. The established information-theoretic metric enables analytical studies on the design and performance of LPD communication under various channel conditions. In this article, we present the key features of LPD communication and discuss various important design considerations. Firstly, we clarify the differences between LPD communication and the well-known physical-layer security. Then, from an information-theoretic point of view, we discuss the optimal signalling strategies for transmitting the message-carrying signal and artificial-noise signal for LPD communication. Finally, we identify the key challenges in the design of practical LPD communication systems and point out future research directions in this context. This article provides guidelines for designing practical LPD communication strategies in wireless systems and networks.

Connected through hyperedge HE-1 (induced by source paper "pilot based channel estimation design in covert wireless communication"):
  with members:
    - "multi antenna covert communications in random wireless networks"
    - "covert transmission with a self sustained relay"
    - "gaussian signalling for covert communications"
    - "achieving covert wireless communications using a full duplex receiver"
    - "multi hop routing in covert wireless networks"
    - "joint optimization of a uav s trajectory and transmit power for covert communications"
    - "covert wireless communications with channel inversion power control in rayleigh fading"
    - "covert communication achieved by a greedy relay in wireless networks"

Connected through hyperedge HE-2 (induced by source paper "covert wireless communication in presence of a multi antenna adversary and delay constraints"):
  with members:
    - "multi antenna covert communications in random wireless networks"
    - "gaussian signalling for covert communications"
    - "achieving covert wireless communications using a full duplex receiver"
    - "joint optimization of a uav s trajectory and transmit power for covert communications"
    - "covert wireless communications with channel inversion power control in rayleigh fading"
    - "fundamental limits of covert communication over mimo awgn channel"
    - "covert communication achieved by a greedy relay in wireless networks"
    - "covert communication in fading channels under channel uncertainty"

Connected through hyperedge HE-3 (induced by source paper "lpd communication a sequential change point detection perspective"):
  with members:
    - "multi antenna covert communications in random wireless networks"
    - "multi hop routing in covert wireless networks"
    - "covert wireless communication with a poisson field of interferers"
    - "on covert communication with noise uncertainty"
    - "fundamental limits of communication with low probability of detection"
    - "covert communication in the presence of an uninformed jammer"
    - "covert communication over noisy channels a resolvability perspective"
    - "covert communication gains from adversary s ignorance of transmission time"

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)