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 "oblidb oblivious query processing for secure databases"):
  Abstract: Hardware enclaves such as Intel SGX are a promising technology for improving the security of databases outsourced to the cloud. These enclaves provide an execution environment isolated from the hypervisor/OS, and encrypt data in RAM. However, for applications that use large amounts of memory, including most databases, enclaves do not protect against access pattern leaks, which let attackers gain a large amount of information about the data. Moreover,the naive way to address this issue, using Oblivious RAM (ORAM) primitives from the security literature, adds substantial overhead. #R##N#A number of recent works explore trusted hardware enclaves as a path toward secure, access-pattern oblivious outsourcing of data storage and analysis. While these works efficiently solve specific subproblems (e.g. building secure indexes or running analytics queries that always scan entire tables), no prior work has supported oblivious query processing for general query workloads on a DBMS engine with multiple access methods. Moreover, applying these techniques individually does not guarantee that an end-to-end workload, such as a complex SQL query over multiple tables, will be oblivious. In this paper, we introduce ObliDB, an oblivious database engine design that is the first system to provide obliviousness for general database read workloads over multiple access methods. #R##N#ObliDB supports a broad range of queries, including aggregation, joins, insertions, deletions and point queries. We implement ObliDB and show that, on analytics work-loads, ObliDB ranges from 1.1-19x faster than Opaque,a previous oblivious, enclave-based system designed only for analytics, and comes within 2.6x of Spark SQL. ObliDB supports point queries with 3-10ms latency, which runs over 7x faster than HIRB, a previous encryption-based oblivious index system.

Includes members:
  Member "sgxpectre stealing intel secrets from sgx enclaves via speculative execution":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "distributed systems and trusted execution environments trade offs and challenges")
  Member "obladi oblivious serializable transactions in the cloud":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "sgx lkl securing the host os interface for trusted execution")
  Member "the pyramid scheme oblivious ram for trusted processors":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "pdot private dns over tls with tee support")
  Member "stealthdb a scalable encrypted database with full sql query support":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "encdbdb searchable encrypted fast compressed in memory database using enclaves")
  Member "software grand exposure sgx cache attacks are practical":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "distributed systems and trusted execution environments trade offs and challenges")
  Member "prochlo strong privacy for analytics in the crowd":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "pure differentially private summation from anonymous messages")
  Member "sok cryptographically protected database search":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "timecrypt encrypted data stream processing at scale with cryptographic access control")
  Member "hardidx practical and secure index with sgx":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "encdbdb searchable encrypted fast compressed in memory database using enclaves")

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)