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: "on the security of the automatic dependent surveillance broadcast protocol"
  Abstract: Automatic dependent surveillance-broadcast (ADS-B) is the communications protocol currently being rolled out as part of next-generation air transportation systems. As the heart of modern air traffic control, it will play an essential role in the protection of two billion passengers per year, in addition to being crucial to many other interest groups in aviation. The inherent lack of security measures in the ADS-B protocol has long been a topic in both the aviation circles and in the academic community. Due to recently published proof-of-concept attacks, the topic is becoming ever more pressing, particularly with the deadline for mandatory implementation in most airspaces fast approaching. This survey first summarizes the attacks and problems that have been reported in relation to ADS-B security. Thereafter, it surveys both the theoretical and practical efforts that have been previously conducted concerning these issues, including possible countermeasures. In addition, the survey seeks to go beyond the current state of the art and gives a detailed assessment of security measures that have been developed more generally for related wireless networks such as sensor networks and vehicular ad hoc networks, including a taxonomy of all considered approaches.

Connected through hyperedge HE-1 (induced by source paper "uav swarm enabled aerial comp a physical layer security perspective"):
  with members:
    - "maritime coverage enhancement using uavs coordinated with hybrid satellite terrestrial networks"
    - "uav communications for 5g and beyond recent advances and future trends"
    - "robust trajectory and transmit power design for secure uav communications"
    - "energy efficient uav communication with trajectory optimization"
    - "linear precoding of data and artificial noise in secure massive mimo systems"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "joint transmit beamforming and receive power splitting for miso swipt systems"
    - "spatially selective artificial noise aided transmit optimization for miso multi eves secrecy rate maximization"

Connected through hyperedge HE-2 (induced by source paper "vizads b analyzing sequences of ads b images using explainable convolutional lstm encoder decoder to detect cyber attacks"):
  with members:
    - "explaining anomalies detected by autoencoders using shap"
    - "gee a gradient based explainable variational autoencoder for network anomaly detection"
    - "a unified approach to interpreting model predictions"
    - "learning important features through propagating activation differences"
    - "using lstm encoder decoder algorithm for detecting anomalous ads b messages"
    - "unsupervised learning for physical interaction through video prediction"
    - "anomaly detection in video using predictive convolutional long short term memory networks"
    - "why should i trust you explaining the predictions of any classifier"

Connected through hyperedge HE-3 (induced by source paper "blockchain methods for trusted avionics systems"):
  with members:
    - "decentralized smart surveillance through microservices platform"
    - "a microservice enabled architecture for smart surveillance using blockchain technology"
    - "kerman a hybrid lightweight tracking algorithm to enable smart surveillance as an edge service"
    - "smart surveillance as an edge network service from harr cascade svm to a lightweight cnn"
    - "constructing trustworthy and safe communities on a blockchain enabled social credits system"
    - "real time index authentication for event oriented surveillance video query using blockchain"
    - "real time human detection as an edge service enabled by a lightweight cnn"
    - "eiqis toward an event oriented indexable and queryable intelligent surveillance system"

Connected through hyperedge HE-4 (induced by source paper "aeronautical ad hoc networking for the internet above the clouds"):
  with members:
    - "optimizing space air ground integrated networks by artificial intelligence"
    - "regularized zero forcing precoding aided adaptive coding and modulation for large scale antenna array based air to air communications"
    - "a survey of multi objective optimization in wireless sensor networks metrics algorithms and open problems"
    - "optical communication in space challenges and mitigation techniques"
    - "adaptive coding and modulation for large scale antenna array based aeronautical communications in the presence of co channel interference"
    - "survey of important issues in uav communication networks"
    - "security challenges in mobile ad hoc networks a survey"
    - "massive mimo for next generation wireless systems"

Connected through hyperedge HE-5 (induced by source paper "detecting ads b spoofing attacks using deep neural networks"):
  with members:
    - "xgboost a scalable tree boosting system"
    - "batch normalization accelerating deep network training by reducing internal covariate shift"

Connected through hyperedge HE-6 (induced by source paper "safety vs security attacking avionic systems with humans in the loop"):
  with members:
    - "on perception and reality in wireless air traffic communication security"

Connected through hyperedge HE-7 (induced by source paper "using lstm encoder decoder algorithm for detecting anomalous ads b messages"):
  with members:
    - "lstm a search space odyssey"
    - "a hierarchical recurrent encoder decoder for generative context aware query suggestion"

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)