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: "darknet and deepnet mining for proactive cybersecurity threat intelligence"
  Abstract: In this paper, we present an operational system for cyber threat intelligence gathering from various social platforms on the Internet particularly sites on the darknet and deepnet. We focus our attention to collecting information from hacker forum discussions and marketplaces offering products and services focusing on malicious hacking. We have developed an operational system for obtaining information from these sites for the purposes of identifying emerging cyber threats. Currently, this system collects on average 305 high-quality cyber threat warnings each week. These threat warnings include information on newly developed malware and exploits that have not yet been deployed in a cyber-attack. This provides a significant service to cyber-defenders. The system is significantly augmented through the use of various data mining and machine learning techniques. With the use of machine learning models, we are able to recall 92% of products in marketplaces and 80% of discussions on forums relating to malicious hacking with high precision. We perform preliminary analysis on the data collected, demonstrating its application to aid a security expert for better threat analysis.

Connected through hyperedge HE-1 (induced by source paper "characterizing activity on the deep and dark web"):
  with members:
    - "predicting cyber events by leveraging hacker sentiment"
    - "discovering signals from web sources to predict cyber attacks"

Connected through hyperedge HE-2 (induced by source paper "early warnings of cyber threats in online discussions"):
  with members:
    - "disinformation and social bot operations in the run up to the 2017 french presidential election"
    - "online human bot interactions detection estimation and characterization"
    - "product offerings in malicious hacker markets"
    - "the darpa twitter bot challenge"
    - "the rise of social bots"
    - "manipulation and abuse on social media by emilio ferrara with ching man au yeung as coordinator"
    - "twitter mood predicts the stock market"

Connected through hyperedge HE-3 (induced by source paper "predicting cyber events by leveraging hacker sentiment"):
  with members:
    - "statistical models for the number of successful cyber intrusions"
    - "early warnings of cyber threats in online discussions"
    - "applying social media intelligence for predicting and identifying on line radicalization and civil unrest oriented threats"
    - "thumbs up sentiment classification using machine learning techniques"

Connected through hyperedge HE-4 (induced by source paper "darkmention a deployed system to predict enterprise targeted external cyberattacks"):
  with members:
    - "economic factors of vulnerability trade and exploitation"
    - "mining for causal relationships a data driven study of the islamic state"
    - "the temporal logic of causal structures"

Connected through hyperedge HE-5 (induced by source paper "predicting enterprise cyber incidents using social network analysis on the darkweb hacker forums"):
  with members:
    - "crowdsourcing cybersecurity cyber attack detection using social media"

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)