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 "when deep learning meets security"):
  Abstract: Deep learning is an emerging research field that has proven its effectiveness towards deploying more efficient intelligent systems. Security, on the other hand, is one of the most essential issues in modern communication systems. Recently many papers have shown that using deep learning models can achieve promising results when applied to the security domain. In this work, we provide an overview for the recent studies that apply deep learning techniques to the field of security.

Includes members:
  Member "artificial intelligence enabled software defined networking a comprehensive overview":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a holistic survey of wireless multipath video streaming")
  Member "early stage malware prediction using recurrent neural networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "intrusion detection for industrial control systems evaluation analysis and adversarial attacks")
  Member "detecting malicious powershell commands using deep neural networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "amsi based detection of malicious powershell code using contextual embeddings")
  Member "deep neural networks for bot detection":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "don t feed the troll detecting troll behavior via inverse reinforcement learning")
  Member "iot security techniques based on machine learning":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "reinforcement learning in flipit")
  Member "henet a deep learning approach on intel circledr processor trace for effective exploit detection":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "to believe or not to believe validating explanation fidelity for dynamic malware analysis")
  Member "shallow and deep networks intrusion detection system a taxonomy and survey":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a compression based framework for the detection of anomalies in heterogeneous data sources")
  Member "expose a character level convolutional neural network with embeddings for detecting malicious urls file paths and registry keys":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "nested multiple instance learning in modelling of http network traffic")

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)