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 "spoiler speculative load hazards boost rowhammer and cache attacks"):
  Abstract: Modern microarchitectures incorporate optimization techniques such as speculative loads and store forwarding to improve the memory bottleneck. The processor executes the load speculatively before the stores, and forwards the data of a preceding store to the load if there is a potential dependency. This enhances performance since the load does not have to wait for preceding stores to complete. However, the dependency prediction relies on partial address information, which may lead to false dependencies and stall hazards. #R##N#In this work, we are the first to show that the dependency resolution logic that serves the speculative load can be exploited to gain information about the physical page mappings. Microarchitectural side-channel attacks such as Rowhammer and cache attacks like Prime+Probe rely on the reverse engineering of the virtual-to-physical address mapping. We propose the SPOILER attack which exploits this leakage to speed up this reverse engineering by a factor of 256. Then, we show how this can improve the Prime+Probe attack by a 4096 factor speed up of the eviction set search, even from sandboxed environments like JavaScript. Finally, we improve the Rowhammer attack by showing how SPOILER helps to conduct DRAM row conflicts deterministically with up to 100% chance, and by demonstrating a double-sided Rowhammer attack with normal user's privilege. The later is due to the possibility of detecting contiguous memory pages using the SPOILER leakage.

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 "ret2spec speculative execution using return stack buffers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "ghostknight breaching data integrity via speculative execution")
  Member "a systematic evaluation of transient execution attacks and defenses":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "ghostknight breaching data integrity via speculative execution")
  Member "lazyfp leaking fpu register state using microarchitectural side channels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "store to leak forwarding leaking data on meltdown resistant cpus")
  Member "theory and practice of finding eviction sets":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "store to leak forwarding leaking data on meltdown resistant cpus")
  Member "another flip in the wall of rowhammer defenses":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "are we susceptible to rowhammer an end to end methodology for cloud providers")
  Member "cachezoom how sgx amplifies the power of cache attacks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "copycat controlled instruction level attacks on enclaves for maximal key extraction")
  Member "armageddon cache attacks on mobile devices":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "nowhere to hide cross modal identity leakage between biometrics and devices")

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)