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 "efficient and distributed secret sharing in general networks"):
  Abstract: Shamir's (n, k) threshold secret sharing is an important component of several cryptographic protocols, such as those for secure multiparty-computation, key management, and Byzantine agreement. These protocols typically assume the presence of direct communication links from the dealer to all participants, in which case, the dealer can directly pass the shares of the secret to each participant. In this paper, we consider the problem of secret sharing when the dealer does not have direct links to all the participants, and instead, the dealer and the participants form a general network. We present an efficient and distributed algorithm for secret sharing over general networks that satisfy what we call the k-propagating-dealer condition. #R##N#We derive information-theoretic lower bounds on the communication complexity of secret sharing over any network, which may also be of independent interest. We show that for networks satisfying the k-propagating-dealer condition, the communication complexity of our algorithm is {\Theta}(n), and furthermore, is a constant factor away from the lower bounds. We also show that, in contrast, the existing solution entails a communication-complexity that is super-linear for a wide class of networks, and is {\Theta}(n^2) in the worst case. Moreover, the amount of randomness required under our algorithm is a constant, while that required under the existing solution increases with n for a large class of networks, and in particular, is {\Theta}(n) whenever the degree of the dealer is bounded. Finally, while the existing solution requires considerable coordination in the network and knowledge of the global topology, our algorithm is completely distributed and requires each node to know only the identities of its neighbours. Our algorithm thus allows for efficient generalization of several cryptographic protocols to a large class of general networks.

Includes members:
  Member "distributed storage codes with repair by transfer and nonachievability of interior points on the storage bandwidth tradeoff":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "enabling optimal access and error correction for the repair of reed solomon codes")
  Member "regenerating codes for errors and erasures in distributed storage":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "enabling optimal access and error correction for the repair of reed solomon codes")
  Member "interference alignment in regenerating codes for distributed storage necessity and code constructions":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "conditional disclosure of secrets a noise and signal alignment approach")
  Member "network codes resilient to jamming and eavesdropping":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "communication efficient secret sharing in the presence of malicious adversary")
  Member "explicit construction of optimal exact regenerating codes for distributed storage":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optimal fraction repetition codes for access balancing in distributed storage")
  Member "perfectly secure message transmission revisited":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "effects of topology knowledge and relay depth on asynchronous consensus")

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)