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: "a framework for evaluating security in the presence of signal injection attacks"
  Abstract: Sensors are embedded in security-critical applications from medical devices to nuclear power plants, but their outputs can be spoofed through signals transmitted by attackers at a distance. To address the lack of a unifying framework for evaluating the effect of such transmissions, we introduce a system and threat model for signal injection attacks. Our model abstracts away from specific circuit-design issues, and highlights the need to characterize the response of Analog-to-Digital Converters (ADCs) beyond their Nyquist frequency. This ADC characterization can be conducted using direct power injections, reducing the amount of circuit-specific experiments to be performed. We further define the concepts of existential, selective, and universal security, which address attacker goals from mere disruptions of the sensor readings to precise waveform injections. As security in our framework is not binary, it allows for the direct comparison of the level of security between different systems. We additionally conduct extensive experiments across all major ADC types, and demonstrate that an attacker can inject complex waveforms such as human speech into ADCs by transmitting amplitude-modulated (AM) signals over carrier frequencies up to the GHz range. All ADCs we test are vulnerable and demodulate the injected AM signal, although some require a more fine-tuned selection of the carrier frequency. We finally introduce an algorithm which allows circuit designers to concretely calculate the security level of real systems, and we apply our definitions and algorithm in practice using measurements of injections against a smartphone microphone. Overall, our work highlights the importance of evaluating the susceptibility of systems against signal injection attacks, and introduces both the terminology and the methodology to do so.

Connected through hyperedge HE-1 (induced by source paper "taxonomy and challenges of out of band signal injection attacks and defenses"):
  with members:
    - "understanding the effectiveness of ultrasonic microphone jammer"
    - "trick or heat manipulating critical temperature based control systems using rectification attacks"
    - "spearphone a speech privacy exploit via accelerometer sensed reverberations from smartphone loudspeakers"
    - "oops had the silly thing in reverse optical injection attacks in through led status indicators"
    - "signal jamming attacks against communication based train control attack impact and countermeasure"
    - "systematic classification of side channel attacks a case study for mobile devices"
    - "injected and delivered fabricating implicit control over actuation systems by spoofing inertial sensors"
    - "dolphinattack inaudible voice commands"

Connected through hyperedge HE-2 (induced by source paper "trick or heat manipulating critical temperature based control systems using rectification attacks"):
  with members:
    - "taxonomy and challenges of out of band signal injection attacks and defenses"
    - "injected and delivered fabricating implicit control over actuation systems by spoofing inertial sensors"
    - "dolphinattack inaudible voice commands"

Connected through hyperedge HE-3 (induced by source paper "trick or heat attack on amplification circuits to abuse critical temperature control systems"):
  with members:
    - "taxonomy and challenges of out of band signal injection attacks and defenses"
    - "dolphinattack inaudible voice commands"

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)