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 "the dendritic cell algorithm for intrusion detection"):
  Abstract: As one of the solutions to intrusion detection problems, Artificial Immune Systems (AIS) have shown their advantages. Unlike genetic algorithms, there is no one archetypal AIS, instead there are four major paradigms. Among them, the Dendritic Cell Algorithm (DCA) has produced promising results in various applications. The aim of this chapter is to demonstrate the potential for the DCA as a suitable candidate for intrusion detection problems. We review some of the commonly used AIS paradigms for intrusion detection problems and demonstrate the advantages of one particular algorithm, the DCA. In order to clearly describe the algorithm, the background to its development and a formal definition are given. In addition, improvements to the original DCA are presented and their implications are discussed, including previous work done on an online analysis component with segmentation and ongoing work on automated data preprocessing. Based on preliminary results, both improvements appear to be promising for online anomaly-based intrusion detection.

Includes members:
  Member "integrating real time analysis with the dendritic cell algorithm through segmentation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "theoretical formulation and analysis of the deterministic dendritic cell algorithm")
  Member "further exploration of the dendritic cell algorithm antigen multiplier and time windows":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "negative selection approach application in network intrusion detection systems")
  Member "introducing dendritic cells as a novel immune inspired algorithm for anomoly detection":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "negative selection approach application in network intrusion detection systems")
  Member "exploration of the dendritic cell algorithm using the duration calculus":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "theoretical formulation and analysis of the deterministic dendritic cell algorithm")
  Member "the application of a dendritic cell algorithm to a robotic classifier":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "theoretical formulation and analysis of the deterministic dendritic cell algorithm")
  Member "pca 4 dca the application of principal component analysis to the dendritic cell algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "theoretical formulation and analysis of the deterministic dendritic cell algorithm")
  Member "articulation and clarification of the dendritic cell algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a ddos aware ids model based on danger theory and mobile agents")
  Member "dca for bot detection":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "theoretical formulation and analysis of the deterministic dendritic cell algorithm")

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)