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: "hiding in plain sight a longitudinal study of combosquatting abuse"
  Abstract: Domain squatting is a common adversarial practice where attackers register domain names that are purposefully similar to popular domains. In this work, we study a specific type of domain squatting called "combosquatting," in which attackers register domains that combine a popular trademark with one or more phrases (e.g., betterfacebook[.]com, youtube-live[.]com). We perform the first large-scale, empirical study of combosquatting by analyzing more than 468 billion DNS records - collected from passive and active DNS data sources over almost six years. We find that almost 60% of abusive combosquatting domains live for more than 1,000 days, and even worse, we observe increased activity associated with combosquatting year over year. Moreover, we show that combosquatting is used to perform a spectrum of different types of abuse including phishing, social engineering, affiliate abuse, trademark abuse, and even advanced persistent threats. Our results suggest that combosquatting is a real problem that requires increased scrutiny by the security community.

Connected through hyperedge HE-1 (induced by source paper "assessing the privacy benefits of domain name encryption"):
  with members:
    - "analyzing the costs and benefits of dns dot and doh for the modern web"
    - "iclab a global longitudinal internet censorship measurement platform"
    - "measuring i2p censorship at a global scale"
    - "tranco a research oriented top sites ranking hardened against manipulation"
    - "an empirical study of the i2p anonymity network and its censorship resistance"
    - "a long way to the top significance structure and stability of internet top lists"
    - "your neighbors are my spies location and other privacy concerns in glbt focused location based dating applications"
    - "k fingerprinting a robust scalable website fingerprinting technique"

Connected through hyperedge HE-2 (induced by source paper "large scale analysis of pop up scam on typosquatting urls"):
  with members:
    - "dial one for scam a large scale analysis of technical support scams"

Connected through hyperedge HE-3 (induced by source paper "a long way to the top significance structure and stability of internet top lists"):
  with members:
    - "an empirical survey on the early adoption of dns certification authority authorization"
    - "on the content security policy violations due to the same origin policy"
    - "loophole timing attacks on shared event loops in chrome"
    - "most websites don t need to vibrate a cost benefit approach to improving browser security"
    - "what s in a name understanding profile name reuse on twitter"
    - "dial one for scam a large scale analysis of technical support scams"
    - "inferring individual attributes from search engine queries and auxiliary information"
    - "filteredweb a framework for the automated search based discovery of blocked urls"

Connected through hyperedge HE-4 (induced by source paper "a survey on malicious domains detection through dns data analysis"):
  with members:
    - "malicious url detection using machine learning a survey"
    - "predicting domain generation algorithms with long short term memory networks"
    - "deepdga adversarially tuned domain generation and detection"
    - "detection of early stage enterprise infection by mining large scale log data"

Connected through hyperedge HE-5 (induced by source paper "detection of malicious and low throughput data exfiltration over the dns protocol"):
  with members:
    - "entropy based prediction of network protocols in the forensic analysis of dns tunnels"
    - "combating malicious dns tunnel"

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)