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 "lightbox full stack protected stateful middlebox at lightning speed"):
  Abstract: Outsourcing software middlebox (aka. virtual network function) to third-party service provider, like public cloud, has been a recent trend for many well-known benefits. However, redirecting a large influx of raw traffic from enterprises to the service providers, who are often outside the traditional trust domain, raises severe security concerns. Over the past few years, steady progress has been made towards enabling the middlebox functionalities without revealing sensitive traffic. Following the direction, in this paper, we present LightBox, the first system that can drive full-stack protected stateful middleboxes at native speed. Similar to existing hardware-assisted designs, LightBox is built on top of SGX enclave. But, different from all prior systems, LightBox is designed to further address two new challenges that, surprisingly, are largely overlooked in the literature. First, LightBox enables enterprises to safely forward the packets intended for processing to the enclaved middlebox with all metadata, including low-level packet headers, packet size, count and timestamps, fully protected. Studies have shown that such metadata can be information-rich and potentially exploited by many traffic analysis attacks. Second, LightBox achieves very efficient in- enclave stateful middlebox processing within the highly constraint enclave space, without incurring unreasonably high overhead. The confidentiality, integrity, and freshness of the flow states are always ensured throughout our efficient state management procedures. Evaluations show that LightBox, with all the extra security benefits, can still perform packet I/O at 10Gbps line rate. Even when tracking 600K flows, LightBox can obtain 3.5X to 30X performance speedup than direct adoption of SGX, while incurring negligible packet delay (<1{\mu}s) for most test cases.

Includes members:
  Member "deep fingerprinting undermining website fingerprinting defenses with deep learning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "blind adversarial network perturbations")
  Member "cachezoom how sgx amplifies the power of cache attacks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "copycat controlled instruction level attacks on enclaves for maximal key extraction")
  Member "the dark side channel of mobile devices a survey on network traffic analysis":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "large scale mobile app identification using deep learning")
  Member "software grand exposure sgx cache attacks are practical":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "distributed systems and trusted execution environments trade offs and challenges")
  Member "splitbox toward efficient private network function virtualization":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "nfv platform design a survey")
  Member "private processing of outsourced network functions feasibility and constructions":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "snort intrusion detection system with intel software guard extension intel sgx")

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)