human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "clusters in the expanse understanding and unbiasing ipv6 hitlists"):
  Abstract: Network measurements are an important tool in understanding the Internet. Due to the expanse of the IPv6 address space, exhaustive scans as in IPv4 are not possible for IPv6. In recent years, several studies have proposed the use of target lists of IPv6 addresses, called IPv6 hitlists. #R##N#In this paper, we show that addresses in IPv6 hitlists are heavily clustered. We present novel techniques that allow IPv6 hitlists to be pushed from quantity to quality. We perform a longitudinal active measurement study over 6 months, targeting more than 50 M addresses. We develop a rigorous method to detect aliased prefixes, which identifies 1.5 % of our prefixes as aliased, pertaining to about half of our target addresses. Using entropy clustering, we group the entire hitlist into just 6 distinct addressing schemes. Furthermore, we perform client measurements by leveraging crowdsourcing. #R##N#To encourage reproducibility in network measurement research and to serve as a starting point for future IPv6 studies, we publish source code, analysis tools, and data.

Includes members:
  Member "in the ip of the beholder strategies for active ipv6 topology discovery":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "discovering the ipv6 network periphery")
  Member "kip a measured approach to ipv6 address anonymization":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "in the ip of the beholder strategies for active ipv6 topology discovery")
  Member "hloc hints based geolocation leveraging multiple measurement frameworks":
    also connected through other hyperedges:
      (none)
  Member "large scale classification of ipv6 ipv4 siblings with variable clock skew":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a long way to the top significance structure and stability of internet top lists")
  Member "beyond counting new perspectives on the active ipv4 address space":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "anonymizing masses practical light weight anonymity at the network level")
  Member "entropy ip uncovering structure in ipv6 addresses":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "discovering the ipv6 network periphery")
  Member "towards better internet citizenship reducing the footprint of internet wide scans by topology aware prefix selection":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the rise of certificate transparency and its implications on the internet ecosystem")
  Member "scanning the ipv6 internet towards a comprehensive hitlist":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "identifying and characterizing zmap scans a cryptanalytic approach")

Question: Please tell me which class the source paper 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)