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 "on the insecurities of mobile d2d file sharing applications"):
  Abstract: With more than 1.3 Billion in the cumulative number of downloads reported, the top six applications compete in the niche of Wi-Fi Direct D2D file sharing on Android. With the highest userbase in India and Indonesia, ShareIT itself reports the number of active users of their application on desktop and mobile devices exceeding 1.8 billion, ranked top 7 globally by the number of downloads on Google Play and Apple App Store in 2018. Wi-Fi Direct, also known as Wi-Fi P2P, is commonly used for peer-to-peer, high-speed file transfer between mobile devices, as well as a close proximity connection mode for wireless cameras, network printers, TVs and other IoT and mobile devices. For its end users, such type of direct file transfer does not result in cellular data charges and allows to keep their primary Wi-Fi interface up concurrently with a dedicated Wi-Fi P2P interface, which is commonly provided by the default wireless module of the mobile phone. However, despite the popularity of these solutions demonstrated by Google Play download statistics, we observe that the software vendors tend to prioritize the ease of user flow over the security of the implementation, introducing serious security flaws. We perform a comprehensive security analysis in the context of security and usability behind the identified flaws and report our findings in the form of 16 Common Vulnerabilities and Exposures (CVE), disclosed to the corresponding vendors. To address the similar flaws at the early stage of the application design, we propose a joint consideration of Security and Usability for such applications and their protocols that can be visualized in form of a User Journey Map (UJM).

Includes members:
  Member "the android platform security model":
    also connected through other hyperedges:
      (none)
  Member "survey and systematization of secure device pairing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "short range audio channels security survey of mechanisms applications and research challenges")
  Member "device to device communication in cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "distributed artificial intelligence solution for d2d communication in 5g networks")

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)