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 "greening cloud enabled big data storage forensics syncany as a case study"):
  Abstract: The pervasive nature of cloud-enabled big data storage solutions introduces new challenges in the identification, collection, analysis, preservation, and archiving of digital evidences. Investigation of such complex platforms to locate and recover traces of criminal activities is a time-consuming process. Hence, cyber forensics researchers are moving towards streamlining the investigation process by locating and documenting residual artefacts (evidences) of forensic value of users’ activities on cloud-enabled big data platforms in order to reduce the investigation time and resources involved in a real-world investigation. In this paper, we seek to determine the data remnants of forensic value from Syncany private cloud storage service, a popular storage engine for big data platforms. We demonstrate the types and the locations of the artifacts that can be forensically recovered. Findings from this research contribute to an in-depth understanding of cloud-enabled big data storage forensics, which can result in reduced time and resources spent in real-world investigations involving Syncany-based cloud platforms.

Includes members:
  Member "digital forensic investigation of cloud storage services":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "cloudme forensics a case of big data forensic investigation")
  Member "network traffic forensics on firefox mobile os facebook twitter and telegram as case studies":
    also connected through other hyperedges:
      (none)
  Member "windows instant messaging app forensics facebook and skype as case studies":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "cloudme forensics a case of big data forensic investigation")
  Member "a forensically sound adversary model for mobile devices":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "cloudme forensics a case of big data forensic investigation")
  Member "cloud storage forensic hubic as a case study":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "cloudme forensics a case of big data forensic investigation")
  Member "leveraging decentralization to extend the digital evidence acquisition window case study on bittorrent sync":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "cloudme forensics a case of big data forensic investigation")
  Member "bittorrent sync first impressions and digital forensic implications":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "proofware proof of useful work blockchain consensus protocol for decentralized applications")
  Member "bittorrent sync network investigation methodology":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "cloudme forensics a case of big data forensic investigation")

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)