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 "leveraging machine learning techniques for windows ransomware network traffic detection"):
  Abstract: Ransomware has become a significant global threat with the ransomware-as-a-service model enabling easy availability and deployment, and the potential for high revenues creating a viable criminal business model. Individuals, private companies or public service providers e.g. healthcare or utilities companies can all become victims of ransomware attacks and consequently suffer severe disruption and financial loss. Although machine learning algorithms are already being used to detect ransomware, variants are being developed to specifically evade detection when using dynamic machine learning techniques. In this paper we introduce NetConverse, a machine learning evaluation study for consistent detection of Windows ransomware network traffic. Using a dataset created from conversation-based network traffic features we achieved a True Positive Rate (TPR) of 97.1% using the Decision Tree (J48) classifier.

Includes members:
  Member "greening cloud enabled big data storage forensics syncany as a case study":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "cloudme forensics a case of big data forensic investigation")
  Member "cloudme forensics a case of big data forensic investigation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "enabling trust in deep learning models a digital forensics case study")
  Member "a cyber kill chain based taxonomy of banking trojans for evolutionary computational intelligence":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a blockchain based framework for detecting malicious mobile applications in app stores")
  Member "know abnormal find evil frequent pattern mining for ransomware threat hunting and intelligence":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a blockchain based framework for detecting malicious mobile applications in app stores")
  Member "exploit kits the production line of the cybercrime economy":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "volenti non fit injuria ransomware and its victims")
  Member "automated dynamic analysis of ransomware benefits limitations and use for detection":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "towards a resilient machine learning classifier a case study of ransomware detection")
  Member "automated detection and classification of cryptographic algorithms in binary programs through machine learning":
    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)