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: "large scale classification of ipv6 ipv4 siblings with variable clock skew"
  Abstract: Linking the growing IPv6 deployment to existing IPv4 addresses is an interesting field of research, be it for network forensics, structural analysis, or reconnaissance. In this work, we focus on classifying pairs of server IPv6 and IPv4 addresses as siblings, i.e., running on the same machine. Our methodology leverages active measurements of TCP timestamps and other network characteristics, which we measure against a diverse ground truth of 682 hosts. We define and extract a set of features, including estimation of variable (opposed to constant) remote clock skew. On these features, we train a manually crafted algorithm as well as a machine-learned decision tree. By conducting several measurement runs and training in cross-validation rounds, we aim to create models that generalize well and do not overfit our training data. We find both models to exceed 99% precision in train and test performance. We validate scalability by classifying 149k siblings in a large-scale measurement of 371k sibling candidates. We argue that this methodology, thoroughly cross-validated and likely to generalize well, can aid comparative studies of IPv6 and IPv4 behavior in the Internet. Striving for applicability and replicability, we release ready-to-use source code and raw data from our study.

Connected through hyperedge HE-1 (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-2 (induced by source paper "machine learning for link quality estimation a survey"):
  with members:
    - "machine learning based link fault identification and localization in complex networks"
    - "over the air deep learning based radio signal classification"
    - "deep learning methods for improved decoding of linear codes"
    - "learning the mmse channel estimator"
    - "electrosense open and big spectrum data"
    - "deep learning in mobile and wireless networking a survey"
    - "effective capacity in wireless networks a comprehensive survey"
    - "power of deep learning for channel estimation and signal detection in ofdm systems"

Connected through hyperedge HE-3 (induced by source paper "clusters in the expanse understanding and unbiasing ipv6 hitlists"):
  with members:
    - "in the ip of the beholder strategies for active ipv6 topology discovery"
    - "kip a measured approach to ipv6 address anonymization"
    - "hloc hints based geolocation leveraging multiple measurement frameworks"
    - "beyond counting new perspectives on the active ipv4 address space"
    - "entropy ip uncovering structure in ipv6 addresses"
    - "towards better internet citizenship reducing the footprint of internet wide scans by topology aware prefix selection"
    - "scanning the ipv6 internet towards a comprehensive hitlist"
    - "carrier grade anomaly detection using time to live header information"

Connected through hyperedge HE-4 (induced by source paper "withdrawing the bgp re routing curtain understanding the security impact of bgp poisoning via real world measurements"):
  with members:
    - "sabre protecting bitcoin against routing attacks"
    - "hijacking bitcoin routing attacks on cryptocurrencies"
    - "e embargoes discouraging the deployment of traffic manipulating boxes with economic incentives"
    - "raptor routing attacks on privacy in tor"
    - "bgp security in partial deployment is the juice worth the squeeze"

Connected through hyperedge HE-5 (induced by source paper "the rise of certificate transparency and its implications on the internet ecosystem"):
  with members:
    - "a survey on honeypot software and data analysis"
    - "towards better internet citizenship reducing the footprint of internet wide scans by topology aware prefix selection"

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.NI(Networking and Internet Architecture)