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: "deep learning based dynamic watermarking for secure signal authentication in the internet of things"
  Abstract: Securing the Internet of Things (IoT) is a necessary milestone toward expediting the deployment of its applications and services. In particular, the functionality of the IoT devices is extremely dependent on the reliability of their message transmission. Cyber attacks such as data injection, eavesdropping, and man-in-the-middle threats can lead to security challenges. Securing IoT devices against such attacks requires accounting for their stringent computational power and need for low-latency operations. In this paper, a novel deep learning method is proposed for dynamic watermarking of IoT signals to detect cyber attacks. The proposed learning framework, based on a long short-term memory (LSTM) structure, enables the IoT devices to extract a set of stochastic features from their generated signal and dynamically watermark these features into the signal. This method enables the IoT's cloud center, which collects signals from the IoT devices, to effectively authenticate the reliability of the signals. Furthermore, the proposed method prevents complicated attack scenarios such as eavesdropping in which the cyber attacker collects the data from the IoT devices and aims to break the watermarking algorithm. Simulation results show that, with an attack detection delay of under 1 second the messages can be transmitted from IoT devices with an almost 100% reliability.

Connected through hyperedge HE-1 (induced by source paper "generative adversarial networks for distributed intrusion detection in the internet of things"):
  with members:
    - "a vision of 6g wireless systems applications trends technologies and open research problems"
    - "efficient gan based anomaly detection"
    - "md gan multi discriminator generative adversarial networks for distributed datasets"
    - "mdgan boosting anomaly detection using multi discriminator generative adversarial networks"
    - "anomaly detection with generative adversarial networks for multivariate time series"
    - "deep learning for signal authentication and security in massive internet of things systems"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "unsupervised anomaly detection with generative adversarial networks to guide marker discovery"

Connected through hyperedge HE-2 (induced by source paper "authentication and authorization for mobile iot devices using bio features recent advances and future trends"):
  with members:
    - "blockchain technologies for the internet of things research issues and challenges"
    - "multimodal biometric authentication using choquet integral and genetic algorithm"
    - "a survey on behavioral biometric authentication on smartphones"
    - "partial face detection for continuous authentication"
    - "hmog new behavioral biometric features for continuous authentication of smartphone users"
    - "touchin sightless two factor authentication on multi touch mobile devices"
    - "touchalytics on the applicability of touchscreen input as a behavioral biometric for continuous authentication"
    - "a survey of biometric keystroke dynamics approaches security and challenges"

Connected through hyperedge HE-3 (induced by source paper "deepradioid real time channel resilient optimization of deep learning based radio fingerprinting algorithms"):
  with members:
    - "big data goes small real time spectrum driven embedded wireless networking through deep learning in the rf loop"
    - "machine learning for wireless communications in the internet of things a comprehensive survey"
    - "securing the internet of things in the age of machine learning and software defined networking"
    - "device fingerprinting in wireless networks challenges and opportunities"
    - "cudnn efficient primitives for deep learning"

Connected through hyperedge HE-4 (induced by source paper "robust invisible video watermarking with attention"):
  with members:
    - "stegastamp invisible hyperlinks in physical photographs"
    - "convolutional video steganography with temporal residual modeling"
    - "hidden hiding data with deep networks"
    - "batch normalization accelerating deep network training by reducing internal covariate shift"

Connected through hyperedge HE-5 (induced by source paper "sleeping multi armed bandit learning for fast uplink grant allocation in machine type communications"):
  with members:
    - "fast uplink grant for machine type communications challenges and opportunities"
    - "deep learning for signal authentication and security in massive internet of things systems"
    - "random access schemes in wireless systems with correlated user activity"
    - "deep learning for reliable mobile edge analytics in intelligent transportation systems"
    - "virtual reality over wireless networks quality of service model and learning based resource management"
    - "distributed user association in energy harvesting small cell networks a probabilistic bandit model"
    - "cognitive hierarchy theory for distributed resource allocation in the internet of things"
    - "grant free massive noma outage probability and throughput"

Connected through hyperedge HE-6 (induced by source paper "deep learning for signal authentication and security in massive internet of things systems"):
  with members:
    - "interference management for cellular connected uavs a deep reinforcement learning approach"
    - "fast uplink grant for machine type communications challenges and opportunities"
    - "deep learning for reliable mobile edge analytics in intelligent transportation systems"
    - "cognitive hierarchy theory for distributed resource allocation in the internet of things"
    - "artificial neural networks based machine learning for wireless networks a tutorial"
    - "colonel blotto game for secure state estimation in interdependent critical infrastructure"
    - "proactive resource management in lte u systems a deep learning perspective"
    - "deep reinforcement learning from self play in imperfect information games"

Connected through hyperedge HE-7 (induced by source paper "a console grid leveraged authentication and key agreement mechanism for lte sae"):
  with members:
    - "application of machine learning for channel based message authentication in mission critical machine type communication"
    - "a secure and authenticated key management protocol sa kmp for vehicular networks"

Connected through hyperedge HE-8 (induced by source paper "authentication of everything in the internet of things learning and environmental effects"):
  with members:
    - "learning how to communicate in the internet of things finite resources and heterogeneity"
    - "device fingerprinting in wireless networks challenges and opportunities"

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.IT(Information Theory)