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 "devil in the detail attack scenarios in industrial applications"):
  Abstract: In the past years, industrial networks have become increasingly interconnected and opened to private or public networks. This leads to an increase in efficiency and manageability, but also increases the attack surface. Industrial networks often consist of legacy systems that have not been designed with security in mind. In the last decade, an increase in attacks on cyber-physical systems was observed, with drastic consequences on the physical work. In this work, attack vectors on industrial networks are categorised. A real-world process is simulated, attacks are then introduced. Finally, two machine learning-based methods for time series anomaly detection are employed to detect the attacks. Matrix Profiles are employed more successfully than a predictor Long Short-Term Memory network, a class of neural networks.

Includes members:
  Member "implementing scada scenarios and introducing attacks to obtain training data for intrusion detection methods":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "discussing the feasibility of acoustic sensors for side channel aided industrial intrusion detection an essay")
  Member "evaluation of machine learning based anomaly detection algorithms on an industrial modbus tcp data set":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "discussing the feasibility of acoustic sensors for side channel aided industrial intrusion detection an essay")
  Member "time is of the essence machine learning based intrusion detection in industrial time series data":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "discussing the feasibility of acoustic sensors for side channel aided industrial intrusion detection an essay")
  Member "a question of context enhancing intrusion detection by providing context information":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "modern problems require modern solutions hybrid concepts for industrial intrusion detection")
  Member "two decades of scada exploitation a brief history":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "discussing the feasibility of acoustic sensors for side channel aided industrial intrusion detection an essay")

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)