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 "decentralizing public key infrastructures with claimchains"):
  Abstract: We present ClaimChains, a cryptographic construction useful for storing claims regarding users' key material and beliefs about the state of other users in a decentralized system. We use ClaimChains to build a decentralized public key infrastructure (PKI). ClaimChains maintain high integrity through the use of authenticated data structures, namely hash chains and Merkle trees, and ensure authenticity and non-repudiation through the use of digital signatures. We introduce the concept of cross-referencing of ClaimChains to efficiently and verifiably vouch for the state of other users in a decentralized system. ClaimChains use cryptographic protections to ensure the privacy of claims, i.e., to guarantee that they can only be read by the authorized users, and that ClaimChain owners can not equivocate about the state of other users. We discuss how ClaimChains support different degrees of PKI decentralization, to trade off key availability for privacy. We show that ClaimChains provide the sought security and privacy properties, and demonstrate that they have very reasonable computation and memory requirements using a prototype implementation. We evaluate the effectiveness of key propagation using a real email dataset in a fully decentralized setting, which offers the best privacy properties. Our results suggest that a high level of privacy comes at the cost of small coverage in terms of key distribution.

Includes members:
  Member "keeping authorities honest or bust with decentralized witness cosigning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "que sera consensus simple asynchronous agreement with private coins and threshold logical clocks")
  Member "community structure in large networks natural cluster sizes and the absence of large well defined clusters":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "certified robustness of community detection against adversarial structural perturbation via randomized smoothing")

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)