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 "securing the internet of things in the age of machine learning and software defined networking"):
  Abstract: The Internet of Things (IoT) realizes a vision where billions of interconnected devices are deployed just about everywhere, from inside our bodies to the most remote areas of the globe. As the IoT will soon pervade every aspect of our lives and will be accessible from anywhere, addressing critical IoT security threats is now more important than ever. Traditional approaches where security is applied as an afterthought and as a “patch” against known attacks are insufficient. Indeed, next-generation IoT challenges will require a new secure-by-design vision, where threats are addressed proactively and IoT devices learn to dynamically adapt to different threats. To this end, machine learning (ML) and software-defined networking (SDN) will be key to provide both reconfigurability and intelligence to the IoT devices. In this paper, we first provide a taxonomy and survey the state of the art in IoT security research, and offer a roadmap of concrete research challenges related to the application of ML and SDN to address existing and next-generation IoT security threats.

Includes members:
  Member "quality of information in mobile crowdsensing survey and research challenges":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a novel methodology for designing policies in mobile crowdsensing systems")
  Member "learning to detect and mitigate cross layer attacks in wireless networks framework and applications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "machine learning for wireless communications in the internet of things a comprehensive survey")
  Member "iot sentinel demo automated device type identification for security enforcement in iot":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "iot behavioral monitoring via network traffic analysis")
  Member "low power wide area networks an overview":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "random access based reliable uplink communication and power transfer using dynamic power splitting")
  Member "a survey on wireless security technical challenges recent advances and future trends":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "physical layer security in the finite blocklength regime over fading channels")
  Member "understanding modern banking ledgers through blockchain technologies future of transaction processing and smart contracts on the internet of money":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "security analysis methods on ethereum smart contract vulnerabilities a survey")
  Member "device fingerprinting in wireless networks challenges and opportunities":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "prifi low latency anonymity for organizational networks")
  Member "incentive mechanisms for participatory sensing survey and research challenges":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a novel methodology for designing policies in mobile crowdsensing systems")

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)