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 "discussing the feasibility of acoustic sensors for side channel aided industrial intrusion detection an essay"):
  Abstract: The fourth industrial revolution leads to an increased use of embedded computation and intercommunication in an industrial environment. While reducing cost and effort for set up, operation and maintenance, and increasing the time to operation or market respectively as well as the efficiency, this also increases the attack surface of enterprises. Industrial enterprises have become targets of cyber criminals in the last decade, reasons being espionage but also politically motivated. Infamous attack campaigns as well as easily available malware that hits industry in an unprepared state create a large threat landscape. As industrial systems often operate for many decades and are difficult or impossible to upgrade in terms of security, legacy-compatible industrial security solutions are necessary in order to create a security parameter. One plausible approach in industry is the implementation and employment of side-channel sensors. Combining readily available sensor data from different sources via different channels can provide an enhanced insight about the security state. In this work, a data set of an experimental industrial set up containing side channel sensors is discussed conceptually and insights are derived.

Includes members:
  Member "modern problems require modern solutions hybrid concepts for industrial intrusion detection":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "anomaly based intrusion detection in industrial data with svm and random forests")
  Member "devil in the detail attack scenarios in industrial applications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "modern problems require modern solutions hybrid concepts for industrial intrusion detection")
  Member "implementing scada scenarios and introducing attacks to obtain training data for intrusion detection methods":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "modern problems require modern solutions hybrid concepts for industrial intrusion detection")
  Member "putting together the pieces a concept for holistic industrial intrusion detection":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "anomaly based intrusion detection in industrial data with svm and random forests")
  Member "evaluation of machine learning based anomaly detection algorithms on an industrial modbus tcp data set":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "modern problems require modern solutions hybrid concepts for industrial intrusion detection")
  Member "time is of the essence machine learning based intrusion detection in industrial time series data":
    also connected through other hyperedges:
      - Hyperedge HE-6 (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-7 (induced by source paper "modern problems require modern solutions hybrid concepts for industrial intrusion detection")
  Member "side channel based intrusion detection for industrial control systems":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "side channel aware fuzzing")

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)