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: "immune system approaches to intrusion detection a review"
  Abstract: The use of artificial immune systems in intrusion detection is an appealing concept for two reasons. First, the human immune system provides the human body with a high level of protection from invading pathogens, in a robust, self-organised and distributed manner. Second, current techniques used in computer security are not able to cope with the dynamic and increasingly complex nature of computer systems and their security. It is hoped that biologically inspired approaches in this area, including the use of immune-based systems will be able to meet this challenge. Here we review the algorithms used, the development of the systems and the outcome of their implementation. We provide an introduction and analysis of the key developments within this field, in addition to making suggestions for future research.

Connected through hyperedge HE-1 (induced by source paper "modelling cyber security experts decision making processes using aggregation operators"):
  with members:
    - "privileged information for data clustering"
    - "towards a more systematic approach to secure systems design and analysis"
    - "real time alert correlation with type graphs"
    - "information fusion in the immune system"
    - "an evaluation of naive bayesian anti spam filtering"

Connected through hyperedge HE-2 (induced by source paper "negative selection approach application in network intrusion detection systems"):
  with members:
    - "further exploration of the dendritic cell algorithm antigen multiplier and time windows"
    - "introducing dendritic cells as a novel immune inspired algorithm for anomoly detection"
    - "artificial immune systems tutorial"
    - "the danger theory and its application to artificial immune systems"

Connected through hyperedge HE-3 (induced by source paper "a self adaptive network protection system"):
  with members:
    - "current studies on intrusion detection system genetic algorithm and fuzzy logic"
    - "current studies on intrusion detection system genetic algorithm and fuzzy logic"
    - "gene expression programming a new adaptive algorithm for solving problems"

Connected through hyperedge HE-4 (induced by source paper "anomaly detection framework using rule extraction for efficient intrusion detection"):
  with members:
    - "learning to identify regular expressions that describe email campaigns"
    - "a tutorial on spectral clustering"

Connected through hyperedge HE-5 (induced by source paper "the dendritic cell algorithm for intrusion detection"):
  with members:
    - "integrating real time analysis with the dendritic cell algorithm through segmentation"
    - "further exploration of the dendritic cell algorithm antigen multiplier and time windows"
    - "introducing dendritic cells as a novel immune inspired algorithm for anomoly detection"
    - "exploration of the dendritic cell algorithm using the duration calculus"
    - "the application of a dendritic cell algorithm to a robotic classifier"
    - "pca 4 dca the application of principal component analysis to the dendritic cell algorithm"
    - "articulation and clarification of the dendritic cell algorithm"
    - "dca for bot detection"

Connected through hyperedge HE-6 (induced by source paper "artificial immune systems intros 2"):
  with members:
    - "integrating real time analysis with the dendritic cell algorithm through segmentation"
    - "the application of a dendritic cell algorithm to a robotic classifier"
    - "dca for bot detection"
    - "an artificial immune system as a recommender system for web sites"

Connected through hyperedge HE-7 (induced by source paper "information fusion in the immune system"):
  with members:
    - "articulation and clarification of the dendritic cell algorithm"
    - "an immune inspired approach to anomaly detection"
    - "libtissue implementing innate immunity"
    - "dendritic cells for anomaly detection"

Connected through hyperedge HE-8 (induced by source paper "learning under concept drift an overview"):
  with members:
    - "continuous time dynamic topic models"

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.NE(Neural and Evolutionary Computing)