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: "the effect of dns on tor s anonymity"
  Abstract: Previous attacks that link the sender and receiver of traffic in the Tor network ("correlation attacks") have generally relied on analyzing traffic from TCP connections. The TCP connections of a typical client application, however, are often accompanied by DNS requests and responses. This additional traffic presents more opportunities for correlation attacks. This paper quantifies how DNS traffic can make Tor users more vulnerable to correlation attacks. We investigate how incorporating DNS traffic can make existing correlation attacks more powerful and how DNS lookups can leak information to third parties about anonymous communication. We (i) develop a method to identify the DNS resolvers of Tor exit relays; (ii) develop a new set of correlation attacks (DefecTor attacks) that incorporate DNS traffic to improve precision; (iii) analyze the Internet-scale effects of these new attacks on Tor users; and (iv) develop improved methods to evaluate correlation attacks. First, we find that there exist adversaries who can mount DefecTor attacks: for example, Google's DNS resolver observes almost 40% of all DNS requests exiting the Tor network. We also find that DNS requests often traverse ASes that the corresponding TCP connections do not transit, enabling additional ASes to gain information about Tor users' traffic. We then show that an adversary who can mount a DefecTor attack can often determine the website that a Tor user is visiting with perfect precision, particularly for less popular websites where the set of DNS names associated with that website may be unique to the site. We also use the Tor Path Simulator (TorPS) in combination with traceroute data from vantage points co-located with Tor exit relays to estimate the power of AS-level adversaries who might mount DefecTor attacks in practice.

Connected through hyperedge HE-1 (induced by source paper "measuring information leakage in website fingerprinting attacks and defenses"):
  with members:
    - "deep fingerprinting undermining website fingerprinting defenses with deep learning"
    - "bayes not naive security bounds on website fingerprinting defenses"
    - "k fingerprinting a robust scalable website fingerprinting technique"
    - "toward an efficient website fingerprinting defense"
    - "efficient estimation of mutual information for strongly dependent variables"
    - "comparing bayesian network classifiers"

Connected through hyperedge HE-2 (induced by source paper "analysing censorship circumvention with vpns via dns cache snooping"):
  with members:
    - "a long way to the top significance structure and stability of internet top lists"
    - "automated discovery of internet censorship by web crawling"
    - "filteredweb a framework for the automated search based discovery of blocked urls"
    - "spoiled onions exposing malicious tor exit relays"
    - "the anatomy of web censorship in pakistan"

Connected through hyperedge HE-3 (induced by source paper "padding ain t enough assessing the privacy guarantees of encrypted dns"):
  with members:
    - "deep fingerprinting undermining website fingerprinting defenses with deep learning"
    - "k fingerprinting a robust scalable website fingerprinting technique"
    - "toward an efficient website fingerprinting defense"
    - "evaluating the security of a dns query obfuscation scheme for private web surfing"

Connected through hyperedge HE-4 (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-5 (induced by source paper "tranco a research oriented top sites ranking hardened against manipulation"):
  with members:
    - "structure and stability of internet top lists"
    - "an automated approach to auditing disclosure of third party data collection in website privacy policies"
    - "herding vulnerable cats a statistical approach to disentangle joint responsibility for web security in shared hosting"
    - "on the ubiquity of web tracking insights from a billion page web crawl"
    - "stress testing the booters understanding and undermining the business of ddos services"
    - "exposing the hidden web an analysis of third party http requests on 1 million websites"

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)