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 "tempest temporal dynamics in anonymity systems"):
  Abstract: Many recent proposals for anonymous communication omit from their security analyses a consideration of the effects of time on important system components. In practice, many components of anonymity systems, such as the client location and network structure, exhibit changes and patterns over time. In this paper, we focus on the effect of such temporal dynamics on the security of anonymity networks. We present Tempest, a suite of novel attacks based on (1) client mobility, (2) usage patterns, and (3) changes in the underlying network routing. Using experimental analysis on real-world datasets, we demonstrate that these temporal attacks degrade user privacy across a wide range of anonymity networks, including deployed systems such as Tor; path-selection protocols for Tor such as DeNASA, TAPS, and Counter-RAPTOR; and network-layer anonymity protocols for Internet routing such as Dovetail and HORNET. The degradation is in some cases surprisingly severe. For example, a single host failure or network route change could quickly and with high certainty identify the client's ISP to a malicious host or ISP. The adversary behind each attack is relatively weak - generally passive and in control of one network location or a small number of hosts. Our findings suggest that designers of anonymity systems should rigorously consider the impact of temporal dynamics when analyzing anonymity.

Includes members:
  Member "onions in the crosshairs when the man really is out to get you":
    also connected through other hyperedges:
      (none)
  Member "raptor routing attacks on privacy in tor":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "blind adversarial network perturbations")
  Member "measuring and mitigating as level adversaries against tor":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "deepcorr strong flow correlation attacks on tor using deep learning")
  Member "k fingerprinting a robust scalable website fingerprinting technique":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "blind adversarial network perturbations")
  Member "hornet high speed onion routing at the network layer":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "prifi low latency anonymity for organizational networks")
  Member "avoiding the man on the wire improving tor s security with trust aware path selection":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "shedding light on the dark corners of the internet a survey of tor research")
  Member "dovetail stronger anonymity in next generation internet routing":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "prifi low latency anonymity for organizational networks")
  Member "defending tor from network adversaries a case study of network path prediction":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "deepcorr strong flow correlation attacks on tor using deep learning")

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)