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: "the mastermind attack on genomic data"
  Abstract: In this paper, we study the degree to which a genomic string, $Q$, leaks details about itself any time it engages in comparison protocols with a genomic querier, Bob, even if those protocols are cryptographically guaranteed to produce no additional information other than the scores that assess the degree to which $Q$ matches strings offered by Bob. We show that such scenarios allow Bob to play variants of the game of Mastermind with $Q$ so as to learn the complete identity of $Q$. We show that there are a number of efficient implementations for Bob to employ in these Mastermind attacks, depending on knowledge he has about the structure of $Q$, which show how quickly he can determine $Q$. Indeed, we show that Bob can discover $Q$ using a number of rounds of test comparisons that is much smaller than the length of $Q$, under various assumptions regarding the types of scores that are returned by the cryptographic protocols and whether he can use knowledge about the distribution that $Q$ comes from, e.g., using public knowledge about the properties of human DNA. We also provide the results of an experimental study we performed on a database of mitochondrial DNA, showing the vulnerability of existing real-world DNA data to the Mastermind attack.

Connected through hyperedge HE-1 (induced by source paper "evaluating the strength of genomic privacy metrics"):
  with members:
    - "technical privacy metrics a systematic survey"
    - "privacy in the genomic era"
    - "de anonymizing social networks"

Connected through hyperedge HE-2 (induced by source paper "on the query complexity of black peg ab mastermind"):
  with members:
    - "the worst case number of questions in generalized ab game with and without white peg answers"
    - "improved approximation algorithm for the number of queries necessary to identify a permutation"
    - "playing mastermind with many colors"
    - "hardness of mastermind"
    - "playing mastermind with constant size memory"
    - "on the algorithmic complexity of the mastermind game with black peg results"
    - "mastermind is np complete"

Connected through hyperedge HE-3 (induced by source paper "privacy in the genomic era"):
  with members:
    - "the chills and thrills of whole genome sequencing"
    - "identifying participants in the personal genome project by name a re identification experiment"
    - "privacy enhanced methods for comparing compressed dna sequences"

Connected through hyperedge HE-4 (induced by source paper "inference control for privacy preserving genome matching"):
  with members:
    - "approximate two party privacy preserving string matching with linear complexity"

Connected through hyperedge HE-5 (induced by source paper "playing mastermind with many colors"):
  with members:
    - "hardness of mastermind"
    - "playing mastermind with constant size memory"
    - "on the algorithmic complexity of the mastermind game with black peg results"
    - "a constructive proof of the lovasz local lemma"
    - "mastermind is np complete"

Connected through hyperedge HE-6 (induced by source paper "learning character strings via mastermind queries with a case study involving mtdna"):
  with members:
    - "on the algorithmic complexity of the mastermind game with black peg results"
    - "mastermind is np complete"
    - "confluent drawings visualizing non planar diagrams in a planar way"

Connected through hyperedge HE-7 (induced by source paper "nonadaptive mastermind algorithms for string and vector databases with case studies"):
  with members:
    - "a walk in facebook uniform sampling of users in online social networks"
    - "on the algorithmic complexity of the mastermind game with black peg results"
    - "de anonymizing social networks"

Connected through hyperedge HE-8 (induced by source paper "randomized shellsort a simple oblivious sorting algorithm"):
  with members:
    - "noisy sorting without resampling"
    - "radix sorting with no extra space"
    - "a lower bound on the average case complexity of shellsort"

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.DS(Data Structures and Algorithms)