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 "assessing the privacy benefits of domain name encryption"):
  Abstract: As Internet users have become more savvy about the potential for their Internet communication to be observed, the use of network traffic encryption technologies (e.g., HTTPS/TLS) is on the rise. However, even when encryption is enabled, users leak information about the domains they visit via their DNS queries and via the Server Name Indication (SNI) extension of TLS. Two proposals to ameliorate this issue are DNS over HTTPS/TLS (DoH/DoT) and Encrypted SNI (ESNI). In this paper we aim to assess the privacy benefits of these proposals by considering the relationship between hostnames and IP addresses, the latter of which are still exposed. We perform DNS queries from nine vantage points around the globe to characterize this relationship. We quantify the privacy gain due to ESNI for different hosting and CDN providers using two different metrics, the k-anonymity degree due to co-hosting and the dynamics of IP address changes. We find that 20% of the domains studied will not gain any privacy benefit since they have a one-to-one mapping between their hostname and IP address. Our results show that 30% will gain a high level of privacy benefit with a k value greater than 100, meaning that an adversary can correctly guess these domains with a probability less than 1%. Domains whose visitors will gain a high privacy level are far less popular, while visitors of popular sites will gain much less. Analyzing the dynamics of IP addresses of long-lived domains, we find that only 7.7% of them change their hosting IP addresses on a daily basis. We conclude by discussing potential approaches for website owners and hosting/CDN providers for maximizing the privacy benefits of ESNI.

Includes members:
  Member "analyzing the costs and benefits of dns dot and doh for the modern web":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "k resolver towards decentralizing encrypted dns resolution")
  Member "iclab a global longitudinal internet censorship measurement platform":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "k resolver towards decentralizing encrypted dns resolution")
  Member "measuring i2p censorship at a global scale":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "k resolver towards decentralizing encrypted dns resolution")
  Member "tranco a research oriented top sites ranking hardened against manipulation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "k resolver towards decentralizing encrypted dns resolution")
  Member "an empirical study of the i2p anonymity network and its censorship resistance":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "protocol proxy an fte based covert channel")
  Member "a long way to the top significance structure and stability of internet top lists":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "must should don t care tcp conformance in the wild")
  Member "hiding in plain sight a longitudinal study of combosquatting abuse":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "large scale analysis of pop up scam on typosquatting urls")
  Member "your neighbors are my spies location and other privacy concerns in glbt focused location based dating applications":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "k resolver towards decentralizing encrypted dns resolution")

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.CR(Cryptography and Security)