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: "cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography"
  Abstract: This paper analyzes the security of an image encryption algorithm proposed by Ye and Huang [\textit{IEEE MultiMedia}, vol. 23, pp. 64-71, 2016]. The Ye-Huang algorithm uses electrocardiography (ECG) signals to generate the initial key for a chaotic system and applies an autoblocking method to divide a plain image into blocks of certain sizes suitable for subsequent encryption. The designers claimed that the proposed algorithm is "strong and flexible enough for practical applications". In this paper, we perform a thorough analysis of their algorithm from the view point of modern cryptography. We find it is vulnerable to the known plaintext attack: based on one pair of a known plain-image and its corresponding cipher-image, an adversary is able to derive a mask image, which can be used as an equivalent secret key to successfully decrypt other cipher-images encrypted under the same key with a non-negligible probability of 1/256. Using this as a typical counterexample, we summarize security defects in the design of the Ye-Huang algorithm. The lessons are generally applicable to many other image encryption schemes.

Connected through hyperedge HE-1 (induced by source paper "an authentication protocol based on chaos and zero knowledge proof"):
  with members:
    - "spectre attacks exploiting speculative execution"
    - "open sesame the password hashing competition and argon2"
    - "trust enhancement by multiple random beacons"

Connected through hyperedge HE-2 (induced by source paper "when an attacker meets a cipher image in 2018 a year in review"):
  with members:
    - "dynamic analysis of digital chaotic maps via state mapping networks"
    - "cryptanalysis of a chaotic image encryption algorithm based on information entropy"
    - "security evaluation for block scrambling based image encryption including jpeg distortion against jigsaw puzzle solver attacks"
    - "cryptanalyzing an image scrambling encryption algorithm of pixel bits"
    - "on the cryptanalysis of fridrich s chaotic image encryption scheme"
    - "cracking a hierarchical chaotic image encryption algorithm based on permutation"

Connected through hyperedge HE-3 (induced by source paper "cryptanalyzing a medical privacy protection scheme based on dna coding and chaos"):
  with members:
    - "dynamic analysis of digital chaotic maps via state mapping networks"
    - "cryptanalysis of a chaotic image encryption algorithm based on information entropy"
    - "cryptanalyzing an image scrambling encryption algorithm of pixel bits"
    - "cryptanalyzing a rgb image encryption algorithm based on dna encoding and chaos map"
    - "a general quantitative cryptanalysis of permutation only multimedia ciphers against plaintext attacks"

Connected through hyperedge HE-4 (induced by source paper "cryptanalysis of an image block encryption algorithm based on chaotic maps"):
  with members:
    - "dynamic analysis of digital chaotic maps via state mapping networks"
    - "cryptanalysis of a chaotic image encryption algorithm based on information entropy"
    - "cracking a hierarchical chaotic image encryption algorithm based on permutation"

Connected through hyperedge HE-5 (induced by source paper "cryptanalysis of a chaotic image encryption algorithm based on information entropy"):
  with members:
    - "cryptanalyzing an image scrambling encryption algorithm of pixel bits"
    - "on the cryptanalysis of fridrich s chaotic image encryption scheme"
    - "cracking a hierarchical chaotic image encryption algorithm based on permutation"
    - "cryptanalyzing image encryption using chaotic logistic map"
    - "dynamic analysis of chaotic maps as complex networks in the digital domain"
    - "network analysis of the state space of chaotic map in digital domain"
    - "entropy and set cardinality inequalities for partition determined functions"

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)