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 "a filtering approach for resiliency of distributed observers against smart spoofers"):
  Abstract: For a Linear Time-Invariant (LTI) system, a network of observers is considered where through asynchronous (with bounded delay) communications, they all obtain the state variables of the LTI system. In such setting, a new type of adversarial nodes might affect the observation process by impersonating the identity of the regular nodes, which is a violation against communication authenticity. These adversaries also inherit the capabilities of Byzantine nodes making them more powerful threats called smart spoofers. We show how asynchronous networks are vulnerable to smart spoofing attack. In the estimation scheme considered in this paper, the estimated state variables are flowed from the sets of source nodes, which can detect a portion of the state variables each, to the other follower nodes. The regular nodes, to avoid getting misguided by the impersonation threats, distributively filter the extreme values received from the nodes in their neighborhood. A topological condition based on graph strong robustness is obtained to guarantee the convergence. Two simulation scenarios are provided to verify the results.

Includes members:
  Member "byzantine resilient distributed observers for lti systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "byzantine fault tolerant distributed linear regression")
  Member "secure distributed state estimation of an lti system over time varying networks and analog erasure channels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "determining r and r s robustness of digraphs using mixed integer linear programming")
  Member "on the limited communication analysis and design for decentralized estimation":
    also connected through other hyperedges:
      (none)
  Member "resilient consensus of second order agent networks asynchronous update rules with delays":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "determining r and r s robustness of digraphs using mixed integer linear programming")
  Member "resilient randomized quantized consensus":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "determining r and r s robustness of digraphs using mixed integer linear programming")

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.CR(Cryptography and Security)