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: "scarr a novel scalable runtime remote attestation"
  Abstract: Runtime remote attestation is a technique that allows to validate the correct execution of a program on a remote device. This is a mechanism that protects against runtime exploitations. One of these is control-flow attack, which exploits memory corruptions errors. To mitigate control-flow attacks, current defense strategies rely on control-flow integrity checks or on address space layout randomization (ASLR), unfortunately, these solutions are commonly bypassed by adversaries. Recently, researches proposed runtime remote attestation schemes that work for small programs or for embedded systems, but current approaches are not suitable for complex software like web-servers. In this work, we present SCARR: the first SCAlable Runtime Remote attestation that is designed for complex software, which might involve multi-threading programming, ASLR, and operating system signals. Unlike previous approaches, SCARR can model valid program execution paths in a scalable way and it is also suitable for monitoring virtual machines in cloud environments. We developed our idea in a proof-of-concept example and deployed it over a set of popular software. As a result, SCARR monitors remote software execution by only doubling the execution time compared to the original program, and it can efficiently deals with large applications by using a small number of measurements

Connected through hyperedge HE-1 (induced by source paper "safe d self attestation for networks of heterogeneous embedded devices"):
  with members:
    - "scarr scalable runtime remote attestation for complex systems"
    - "hydra hybrid design for remote attestation using a formally verified microkernel"
    - "optimized certificate revocation list distribution for secure v2x communications"
    - "c flat control flow attestation for embedded systems software"

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)