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 "analyzing root causes of intrusion detection false negatives methodology and case study"):
  Abstract: Intrusion Detection Systems (IDSs) are a necessary cyber defense mechanism. Unfortunately, their capability has fallen behind that of attackers. This motivates us to improve our understanding of the root causes of their false-negatives. In this paper we make a first step towards the ultimate goal of drawing useful insights and principles that can guide the design of next-generation IDSs. Specifically, we propose a methodology for analyzing the root causes of IDS false-negatives and conduct a case study based on Snort and a real-world dataset of cyber attacks. The case study allows us to draw useful insights.

Includes members:
  Member "metrics towards measuring cyber agility":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a survey on ethereum systems security vulnerabilities attacks and defenses")
  Member "benchmarking datasets for anomaly based network intrusion detection kdd cup 99 alternatives":
    also connected through other hyperedges:
      (none)
  Member "a taxonomy and survey of intrusion detection system design techniques network threats and datasets":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "from cyber security deception to manipulation and gratification through gamification")
  Member "characterizing honeypot captured cyber attacks statistical framework and case study":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "metrics towards measuring cyber agility")
  Member "predicting cyber attack rates with extreme values":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "metrics towards measuring cyber agility")
  Member "an evasion and counter evasion study in malicious websites detection":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "taking care of the discretization problem a black box adversarial image attack in discrete integer domain")

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)