human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "lattice puf a strong physical unclonable function provably secure against machine learning attacks"
  Abstract: We propose a strong physical unclonable function (PUF) that is provably secure against machine learning (ML) attacks with both classical and quantum computers. The security is derived from cryptographic hardness of learning decryption functions of semantically secure public-key cryptosystems within the probably approximately correct framework. The proposed lattice PUF compactly realizes the decryption function of the learning-with-errors (LWE) public-key cryptosystem as the core block. #R##N#The lattice PUF is lightweight and fully digital. It is constructed using a weak PUF, as a physically obfuscated key (POK), an LWE decryption function block, a pseudo-random number generator in the form of a linear-feedback shift register, a self-incrementing counter, and a control block. The POK provides the secret key of the LWE decryption function. A fuzzy extractor is utilized to ensure stability of the POK. The proposed lattice PUF significantly improves upon a direct implementation of LWE decryption function in terms of challenge transfer cost by exploiting distributional relaxations allowed by recent work in space-efficient LWEs. To prevent an active attack in which arbitrary challenges can be submitted, the value of a self-incrementing counter is embedded into the challenge seed. #R##N#We construct a lattice PUF that realizes a challenge-response pair space of size 2^136, requires 1160 POK bits, and guarantees 128-bit ML resistance. Assuming a bit error rate of 5% for SRAM-based POK, 6.5K SRAM cells are needed. The PUF shows excellent uniformity, uniqueness, and reliability. We implement the PUF on a Spartan 6 FPGA. It requires only 4545 slices for the lattice PUF proper, and 233 slices for the fuzzy extractor.

Question: Please tell me which class the center node 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)