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: "early warnings of cyber threats in online discussions"
  Abstract: We introduce a system for automatically generating warnings of imminent or current cyber-threats. Our system leverages the communication of malicious actors on the darkweb, as well as activity of cyber security experts on social media platforms like Twitter. In a time period between September, 2016 and January, 2017, our method generated 661 alerts of which about 84% were relevant to current or imminent cyber-threats. In the paper, we first illustrate the rationale and workflow of our system, then we measure its performance. Our analysis is enriched by two case studies: the first shows how the method could predict DDoS attacks, and how it would have allowed organizations to prepare for the Mirai attacks that caused widespread disruption in October 2016. Second, we discuss the method's timely identification of various instances of data breaches.

Connected through hyperedge HE-1 (induced by source paper "rest a thread embedding approach for identifying and classifying user specified information in security forums"):
  with members:
    - "ripex extracting malicious ip addresses from security forums using cross forum learning"
    - "bert pre training of deep bidirectional transformers for language understanding"
    - "joint embedding of words and labels for text classification"
    - "baseline needs more love on simple word embedding based models and associated pooling mechanisms"
    - "relevance based word embedding"
    - "bag of tricks for efficient text classification"
    - "pte predictive text embedding through large scale heterogeneous text networks"
    - "distributed representations of sentences and documents"

Connected through hyperedge HE-2 (induced by source paper "a survey on hardware based security mechanisms for internet of things"):
  with members:
    - "a solution for dynamic spectrum management in mission critical uav networks"
    - "a proof of concept sram based physically unclonable function puf key generation mechanism for iot devices"
    - "ring oscillator and its application as physical unclonable function puf for password management"
    - "overview of blakley s secret sharing scheme"
    - "internet of things survey on security"
    - "distributed cooperative spectrum sharing in uav networks using multi agent reinforcement learning"
    - "a reputation based stackelberg game model to enhance secrecy rate in spectrum leasing to selfish iot devices"
    - "a secret key generation scheme for internet of things using ternary states reram based physical unclonable functions"

Connected through hyperedge HE-3 (induced by source paper "discovering signals from web sources to predict cyber attacks"):
  with members:
    - "rnn based early cyber attack detection for the tennessee eastman process"
    - "phased lstm accelerating recurrent network training for long or event based sequences"
    - "dependency recurrent neural language models for sentence completion"
    - "adam a method for stochastic optimization"
    - "a clockwork rnn"
    - "learning phrase representations using rnn encoder decoder for statistical machine translation"

Connected through hyperedge HE-4 (induced by source paper "predicting cyber events by leveraging hacker sentiment"):
  with members:
    - "statistical models for the number of successful cyber intrusions"
    - "darknet and deepnet mining for proactive cybersecurity threat intelligence"
    - "applying social media intelligence for predicting and identifying on line radicalization and civil unrest oriented threats"
    - "thumbs up sentiment classification using machine learning techniques"

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.CR(Cryptography and Security)