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 "your noise my signal exploiting switching noise for stealthy data exfiltration from desktop computers"):
  Abstract: Attacks based on power analysis have been long existing and studied, with some recent works focused on data exfiltration from victim systems without using conventional communications (e.g., WiFi). Nonetheless, prior works typically rely on intrusive direct power measurement, either by implanting meters in the power outlet or tapping into the power cable, thus jeopardizing the stealthiness of attacks. In this paper, we propose NoDE (Noise for Data Exfiltration), a new system for stealthy data exfiltration from enterprise desktop computers. Specifically, NoDE achieves data exfiltration over a building's power network by exploiting high-frequency voltage ripples (i.e., switching noises) generated by power factor correction circuits built into today's computers. Located at a distance and even from a different room, the receiver can non-intrusively measure the voltage of a power outlet to capture the high-frequency switching noises for online information decoding without supervised training/learning. To evaluate NoDE, we run experiments on seven different computers from top-vendors and using top brand power supply units. Our results show that for a single transmitter, NoDE achieves a rate of up to 28.48 bits/second with a distance of 90 feet (27.4 meters) without the line of sight, demonstrating a practically stealthy threat. Based on the orthogonality of switching noise frequencies of different computers, we also demonstrate simultaneous data exfiltration from four computers using only one receiver. Finally, we present a few possible defenses, such as installing noise filters, and discuss their limitations.

Includes members:
  Member "high efficiency power side channel attack immunity using noise injection in attenuated signature domain":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "maya falsifying power sidechannels with dynamic control")
  Member "no free charge theorem a covert channel via usb charging cable on mobile devices":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "systematic classification of side channel attacks a case study for mobile devices")
  Member "state of the art in power line communications from the applications to the medium":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a survey of limitations and enhancements of the ipv6 routing protocol for low power and lossy networks a focus on core operations")
  Member "fansmitter acoustic data exfiltration from speakerless air gapped computers":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "oops had the silly thing in reverse optical injection attacks in through led status indicators")
  Member "bitwhisper covert signaling channel between air gapped computers using thermal manipulations":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "covert association of applications on edge devices by processor workload")
  Member "on covert acoustical mesh networks in air":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "brightness leaking sensitive data from air gapped workstations via screen brightness")

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)