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 "comparison between asymmetric and symmetric channel based authentication for mimo systems"):
  Abstract: Authentication is a key element of security, by which a receiver confirms the sender identity of a message. Typical approaches include either key-based authentication at the application layer or physical layer authentication (PLA), where a message is considered authentic if it appears to have gone through the legitimate channel. In both cases a source of randomness is needed, whereas for PLA the random nature of the communication channel is exploited. In this paper we compare the various approaches using in all cases the channel as a source of randomness. We consider a multiple-input multiple-output (MIMO) system with a finite number of antennas. Simple auto-regressive (AR) models for its evolution as well as the relation of the legitimate and attacker channel are considered. In this setting the attacker can either predict the key used for key-based authentication or forge the channel estimated at the legitimate receiver for PLA. The analysis includes both symmetric and asymmetric key-based authentication. We compare the schemes in terms of false alarm and missed detection probability and we outline best attack strategies.

Includes members:
  Member "coding in the finite blocklength regime bounds based on laplace integrals and their asymptotic approximations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "resource allocation for secure multi user downlink miso urllc systems")
  Member "on the error region for channel estimation based physical layer authentication over rayleigh fading":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "learning aided physical layer authentication as an intelligent process")

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)