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 "recovering residual forensic data from smartphone interactions with cloud storage providers"):
  Abstract: There is a growing demand for cloud storage services such as Dropbox, Box, Syncplicity and SugarSync. These public cloud storage services can store gigabytes of corporate and personal data in remote data centres around the world, which can then be synchronized to multiple devices. This creates an environment which is potentially conducive to security incidents, data breaches and other malicious activities. The forensic investigation of public cloud environments presents a number of new challenges for the digital forensics community. However, it is anticipated that end-devices such as smartphones, will retain data from these cloud storage services. This research investigates how forensic tools that are currently available to practitioners can be used to provide a practical solution for the problems related to investigating cloud storage environments. The research contribution is threefold. First, the findings from this research support the idea that end-devices which have been used to access cloud storage services can be used to provide a partial view of the evidence stored in the cloud service. Second, the research provides a comparison of the number of files which can be recovered from different versions of cloud storage applications. In doing so, it also supports the idea that amalgamating the files recovered from more than one device can result in the recovery of a more complete dataset. Third, the chapter contributes to the documentation and evidentiary discussion of the artefacts created from specific cloud storage applications and different versions of these applications on iOS and Android smartphones.

Includes members:
  Member "digital forensic investigation of cloud storage services":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "greening cloud enabled big data storage forensics syncany as a case study")
  Member "emerging security challenges of cloud virtual infrastructure":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "cloud security challenges investigating policies standards and guidelines in a fortune 500 organization")
  Member "identifying user behavior from residual data in cloud based synchronized apps":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "digital blues an investigation into the use of bluetooth protocols")
  Member "using smartphones as a proxy for forensic evidence contained in cloud storage services":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a bleeding digital heart identifying residual data generation from smartphone applications interacting with medical devices")
  Member "cloud security challenges investigating policies standards and guidelines in a fortune 500 organization":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "medical cyber physical systems development a forensics driven approach")
  Member "calm before the storm the challenges of cloud computing in digital forensics":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a bleeding digital heart identifying residual data generation from smartphone applications interacting with medical devices")

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)