human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "advertising in the iot era vision and challenges"
  Abstract: The Internet of Things (IoT) extends the idea of interconnecting computers to a plethora of different devices, collectively referred to as smart devices. These are physical items - i.e., "things" - such as wearable devices, home appliances, and vehicles, enriched with computational and networking capabilities. Due to the huge set of devices involved - and therefore, its pervasiveness - IoT is a great platform to leverage for building new applications and services or extending existing ones. In this regard, expanding online advertising into the IoT realm is an under-investigated yet promising research direction, especially considering that traditional Internet advertising market is already worth hundreds of billions of dollars. In this paper, we first propose the architecture of an IoT advertising platform inspired by the well-known business ecosystem, which the traditional Internet advertising is based on. Additionally, we discuss the key challenges to implement such a platform with a special focus on issues related to architecture, advertisement content delivery, security, and privacy of the users.

Connected through hyperedge HE-1 (induced by source paper "architectural software patterns for the development of iot smart applications"):
  with members:
    - "internet of things security and forensics challenges and opportunities"
    - "software platforms for smart cities concepts requirements challenges and a unified reference architecture"
    - "low power wide area networks an overview"
    - "internet of things iot a vision architectural elements and future directions"

Connected through hyperedge HE-2 (induced by source paper "security privacy and trust for smart mobile internet of things m iot a survey"):
  with members:
    - "a framework for mitigating zero day attacks in iot"
    - "nhad neuro fuzzy based horizontal anomaly detection in online social networks"
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"
    - "managing service heterogeneity using osmotic computing"
    - "extension of mih to support fpmipv6 for optimized heterogeneous handover"
    - "securing wireless communications of the internet of things from the physical layer an overview"
    - "traffic aware patching for cyber security in mobile iot"
    - "trifecta security energy efficiency and communication capacity comparison for wireless iot devices"

Connected through hyperedge HE-3 (induced by source paper "real time analysis of privacy un aware iot applications"):
  with members:
    - "a context aware framework for detecting sensor based threats on smart devices"
    - "aegis a context aware security framework for smart home systems"
    - "program analysis of commodity iot applications for security and privacy challenges and opportunities"
    - "soteria automated iot safety and security analysis"
    - "peek a boo i see your smart home activities even encrypted"
    - "sensitive information tracking in commodity iot"
    - "a survey on sensor based threats to internet of things iot devices and applications"
    - "iotdots a digital forensics framework for smart environments"

Connected through hyperedge HE-4 (induced by source paper "a system level behavioral detection framework for compromised cps devices smart grid case"):
  with members:
    - "real time analysis of privacy un aware iot applications"
    - "aegis a context aware security framework for smart home systems"
    - "sensitive information tracking in commodity iot"
    - "detection of compromised smart grid devices with machine learning and convolution techniques"
    - "iotdots a digital forensics framework for smart environments"
    - "learning from mutants using code mutation to learn and monitor invariants of a cyber physical system"
    - "machine learning methods for attack detection in the smart grid"
    - "smart grid security threats challenges and solutions"

Connected through hyperedge HE-5 (induced by source paper "multi user multi device aware access control system for smart home"):
  with members:
    - "a context aware framework for detecting sensor based threats on smart devices"
    - "a system level behavioral detection framework for compromised cps devices smart grid case"
    - "healthguard a machine learning based security framework for smart healthcare systems"
    - "aegis a context aware security framework for smart home systems"
    - "soteria automated iot safety and security analysis"
    - "peek a boo i see your smart home activities even encrypted"
    - "sensitive information tracking in commodity iot"
    - "iotdots a digital forensics framework for smart environments"

Connected through hyperedge HE-6 (induced by source paper "a survey on software defined vanets benefits challenges and future directions"):
  with members:
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"
    - "network slicing based 5g and future mobile networks mobility resource management and challenges"
    - "5g software defined vehicular networks"
    - "network slicing to enable scalability and flexibility in 5g mobile networks"
    - "software defined networking a comprehensive survey"

Connected through hyperedge HE-7 (induced by source paper "hdmi walk attacking hdmi distribution networks via consumer electronic control protocol"):
  with members:
    - "sensitive information tracking in commodity iot"
    - "iotdots a digital forensics framework for smart environments"
    - "6thsense a context aware sensor based attack detector for smart devices"
    - "understanding iot security through the data crystal ball where we are now and where we are going to be"

Connected through hyperedge HE-8 (induced by source paper "iotdots a digital forensics framework for smart environments"):
  with members:
    - "sensitive information tracking in commodity iot"
    - "digital forensic investigation of cloud storage services"
    - "digital forensic approaches for amazon alexa ecosystem"

Question: Please tell me which class the center node 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.CY(Computers and Society)