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 "performance evaluation of dca and src on a single bot detection"):
  Abstract: Malicious users try to compromise systems using new techniques. One of the recent techniques used by the attacker is to perform complex distributed attacks such as denial of service and to obtain sensitive data such as password information. These compromised machines are said to be infected with malicious software termed a “bot”. In this paper, we investigate the correlation of behavioural attributes such as keylogging and packet flooding behaviour to detect the existence of a single bot on a compromised machine by applying (1) Spearman’s rank correlation#R##N#(SRC) algorithm and (2) the Dendritic Cell Algorithm (DCA). We also compare the output results generated from these two methods to the detection of a single bot. The results show that the DCA has a better performance in detecting malicious activities.

Includes members:
  Member "biological inspiration for artificial immune systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "dca for bot detection")
  Member "dendritic cells for syn scan detection":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "systematic construction of anomaly detection benchmarks from real data")
  Member "information fusion for anomaly detection with the dendritic cell algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a review of feature and data fusion with medical images")
  Member "introducing dendritic cells as a novel immune inspired algorithm for anomoly detection":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "negative selection approach application in network intrusion detection systems")
  Member "detecting bots based on keylogging activities":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "behavioural correlation for detecting p2p bots")
  Member "dca for bot detection":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the dendritic cell algorithm for intrusion detection")

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.AI(Artificial Intelligence)