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 "security of the internet of things vulnerabilities attacks and countermeasures"):
  Abstract: Wireless Sensor Networks (WSNs) constitute one of the most promising third-millennium technologies and have a wide range of applications in our surrounding environment. The reason behind the vast adoption of WSNs in various applications is that they have tremendously appealing features, e.g., low production cost, low installation cost, unattended network operation, autonomous and longtime operation. WSNs have started to merge with the Internet of Things (IoT) through the introduction of Internet access capability in sensor nodes and sensing ability in Internet-connected devices. Thereby, the IoT is providing access to huge amount of data, collected by the WSNs, over the Internet. However, owing to the absence of a physical line-of-defense, i.e. there is no dedicated infrastructure such as gateways to watch and observe the flowing information in the network, security of WSNs along with IoT is of a big concern to the scientific community. Besides, recent integration and collaboration of WSNs with IoT will open new challenges and problems in terms of security. Hence, this would be a nightmare for the individuals using these systems as well as the security administrators who are managing those networks. Therefore, a detailed review of security attacks towards WSNs and IoT, along with the techniques for prevention, detection, and mitigation of those attacks are provided in this paper. In this text, attacks are categorized and treated into mainly two parts, most or all types of attacks towards WSNs and IoT are investigated under that umbrella: "Passive Attacks" and "Active Attacks". Understanding these attacks and their associated defense mechanisms will help to pave a secure path towards the proliferation and public acceptance of IoT technology.

Includes members:
  Member "security implications of fog computing on the internet of things":
    also connected through other hyperedges:
      (none)
  Member "a survey on sensor based threats to internet of things iot devices and applications":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "real time analysis of privacy un aware iot applications")
  Member "understanding iot security through the data crystal ball where we are now and where we are going to be":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "physical integrity attack detection of surveillance camera with deep learning based video frame interpolation")
  Member "spying on the smart home privacy attacks and defenses on encrypted iot traffic":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "et tu alexa when commodity wifi devices turn into adversarial motion sensors")
  Member "survey of security and privacy issues of internet of things":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a survey on hardware based security mechanisms for internet of things")
  Member "trail topology authentication in rpl":
    also connected through other hyperedges:
      (none)
  Member "a survey of attacks security mechanisms and challenges in wireless sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "reliability analysis to overcome black hole attack in wireless sensor network")
  Member "security in wireless sensor networks issues and challenges":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a survey on hardware based security mechanisms for internet of things")

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)