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: "ciota collaborative iot anomaly detection via blockchain"
  Abstract: Due to their rapid growth and deployment, Internet of things (IoT) devices have become a central aspect of our daily lives. However, they tend to have many vulnerabilities which can be exploited by an attacker. Unsupervised techniques, such as anomaly detection, can help us secure the IoT devices. However, an anomaly detection model must be trained for a long time in order to capture all benign behaviors. This approach is vulnerable to adversarial attacks since all observations are assumed to be benign while training the anomaly detection model. #R##N#In this paper, we propose CIoTA, a lightweight framework that utilizes the blockchain concept to perform distributed and collaborative anomaly detection for devices with limited resources. CIoTA uses blockchain to incrementally update a trusted anomaly detection model via self-attestation and consensus among IoT devices. We evaluate CIoTA on our own distributed IoT simulation platform, which consists of 48 Raspberry Pis, to demonstrate CIoTA's ability to enhance the security of each device and the security of the network as a whole.

Connected through hyperedge HE-1 (induced by source paper "security privacy in iot using machine learning blockchain threats countermeasures"):
  with members:
    - "machine learning in iot security current solutions and future challenges"
    - "on accurate and reliable anomaly detection for gas turbine combustors a deep learning approach"
    - "security services using blockchains a state of the art survey"
    - "a survey on the security of blockchain systems"
    - "secure mobile crowdsensing with deep learning"
    - "securing the internet of things in the age of machine learning and software defined networking"
    - "a first look at identity management schemes on the blockchain"
    - "blockchain as a service an autonomous privacy preserving decentralized architecture for deep learning"

Connected through hyperedge HE-2 (induced by source paper "sereniot collaborative network security policy management and enforcement for smart homes"):
  with members:
    - "sok blockchain technology and its potential use cases"
    - "n baiot network based detection of iot botnet attacks using deep autoencoders"
    - "blockchains consensus protocols in the wild"
    - "iot sentinel demo automated device type identification for security enforcement in iot"
    - "idiot securing the internet of things like it s 1994"

Connected through hyperedge HE-3 (induced by source paper "poster abstract towards scalable and trustworthy decentralized collaborative intrusion detection system for iot"):
  with members:
    - "decentralized and collaborative ai on blockchain"
    - "threat analysis of iot networks using artificial neural network intrusion detection system"

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)