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 "forensic investigation of p2p cloud storage bittorrent sync as a case study"):
  Abstract: Cloud computing has been regarded as the technology enabler for the Internet of Things (IoT). To ensure the most effective collection of IoT-based evidence, it is vital for forensic practitioners to possess a contemporary understanding of the artefacts from different cloud services. In this paper, we seek to determine the data remnants from the use of BitTorrent Sync version 2.0. Findings from our research using mobile and computer devices running Windows 8.1, Mac OS X Mavericks 10.9.5, Ubuntu 14.04.1 LTS, iOS 7.1.2, and Android KitKat 4.4.4 suggested that artefacts relating to the installation, uninstallation, log-in, log-off, and file synchronisation could be recovered, which are potential sources of IoT forensics. We also present a forensically sound investigation methodology for BitTorrent Sync.

Includes members:
  Member "ubuntu one investigation detecting evidences on client machines":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "investigating storage as a service cloud platform pcloud as a case study")
  Member "digital forensic investigation of cloud storage services":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "greening cloud enabled big data storage forensics syncany as a case study")
  Member "windows instant messaging app forensics facebook and skype as case studies":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "greening cloud enabled big data storage forensics syncany as a case study")
  Member "mobile cloud forensics an analysis of seven popular android apps":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "ubuntu one investigation detecting evidences on client machines")
  Member "network investigation methodology for bittorrent sync":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "private web browser forensics a case study of the epic privacy browser")
  Member "leveraging decentralization to extend the digital evidence acquisition window case study on bittorrent sync":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "greening cloud enabled big data storage forensics syncany as a case study")
  Member "bittorrent sync first impressions and digital forensic implications":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "greening cloud enabled big data storage forensics syncany as a case study")
  Member "bittorrent sync network investigation methodology":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "greening cloud enabled big data storage forensics syncany as a case study")

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)