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 "full duplex vs half duplex secret key generation"):
  Abstract: Full-duplex (FD) communication is regarded as a key technology in future 5G and Internet of Things (IoT) systems. In addition to high data rate constraints, the success of these systems depends on the ability to allow for confidentiality and security. Secret-key agreement from reciprocal wireless channels can be regarded as a valuable supplement for security at the physical layer. In this work, we study the role of FD communication in conjunction with secret-key agreement. We first introduce two complementary key generation models for FD and half-duplex (HD) settings and compare the performance by introducing the key-reconciliation function. Furthermore, we study the impact of the so called probing-reconciliation trade-off, the role of a strong eavesdropper and analyze the system in the high SNR regime. We show that under certain conditions, the FD mode enforces a deteriorating impact on the capabilities of the eavesdropper and offers several advantages in terms of secret-key rate over the conventional HD setups. Our analysis reveals as an interesting insight that perfect self-interference cancellation is not necessary in order to obtain performance gains over the HD mode.

Includes members:
  Member "the sender excited secret key agreement model capacity reliability and secrecy exponents":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "exact random coding secrecy exponents for the wiretap channel")
  Member "key capacity with limited one way communication for product sources":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "accuracy memory tradeoffs and phase transitions in belief propagation")
  Member "design and characterization of a full duplex multiantenna system for wifi networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "best relay selection in gaussian half duplex diamond networks")
  Member "full duplex transceiver system calculations analysis of adc and linearity challenges":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "state space adaptive nonlinear self interference cancellation for full duplex communication")
  Member "rate gain region and design tradeoffs for full duplex wireless communications":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a survey on low latency towards 5g ran core network and caching solutions")
  Member "multiaccess channel with partially cooperating encoders and security constraints":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "secure lossy source coding for some classes of helper and gray wyner models")
  Member "separation of reliability and secrecy in rate limited secret key generation":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "explicit codes for the wiretap channel a unified design framework")
  Member "exploiting channel diversity in secret key generation from multipath fading randomness":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "design and implementation of secret key agreement for platoon based vehicular cyber physical systems")

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)