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 "quantifiable comparable evaluations of cyber defensive capabilities a survey novel unified approach"):
  Abstract: Metrics and frameworks to quantifiably assess security measures have arisen from needs of three distinct research communities - statistical measures from the intrusion detection and prevention literature, evaluation of cyber exercises, e.g.,red-team and capture-the-flag competitions, and economic analyses addressing cost-versus-security tradeoffs. In this paper we provide two primary contributions to the security evaluation literature - a representative survey, and a novel framework for evaluating security that is flexible, applicable to all three use cases, and readily interpretable. In our survey of the literature we identify the distinct themes from each community's evaluation procedures side by side and flesh out the drawbacks and benefits of each. The evaluation framework we propose includes comprehensively modeling the resource, labor, and attack costs in dollars incurred based on expected resource usage, accuracy metrics, and time. This framework provides a unified approach in that it incorporates the accuracy and performance metrics, which dominate intrusion detection evaluation, the time to detection and impact to data and resources of an attack, favored by educational competitions' metrics, and the monetary cost of many essential security components used in financial analysis. Moreover, it is flexible enough to accommodate each use case, easily interpretable and comparable, and comprehensive in terms of costs considered.Finally, we provide two examples of the framework applied to real-world use cases. Overall, we provide a survey and a grounded, flexible framework with multiple concrete examples for evaluating security which can address the needs of three currently distinct communities.

Includes members:
  Member "how do information security workers use host data a summary of interviews with security analysts":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "automated ransomware behavior analysis pattern extraction and early detection")
  Member "graphprints towards a graph analytic method for network anomaly detection":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "efficient attack correlation and identification of attack scenarios based on network motifs")
  Member "multi level anomaly detection on time varying graph data":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "size agnostic change point detection framework for evolving networks")
  Member "coordination in network security games a monotone comparative statics approach":
    also connected through other hyperedges:
      (none)

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)