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 "privacyproxy leveraging crowdsourcing and in situ traffic analysis to detect and mitigate information leakage"):
  Abstract: Smartphone apps often transmit personally identifiable information (PII) without the user's knowledge. To address this issue, we present PrivacyProxy, a system that monitors outbound network traffic and generates app-specific signatures to represent privacy sensitive data being shared, all without any modifications to the OS. We use a crowdsourcing based approach to detect likely PII in an adaptive and scalable manner by anonymously combining signatures from different users of the same app. Our system design is itself privacy sensitive as we do not see users' network traffic and instead rely on cryptographically hashed signatures. We present the design and implementation of PrivacyProxy and evaluate its effectiveness in detecting various PIIs through a lab study and a field deployment. Our field study shows that even without any user labeling of PII, PrivacyProxy automatically detects various forms of PII with a precision of 0.81. We also show that the performance overhead of PrivacyProxy is under 13% and majority of the users report no perceptible impact on battery life or the network.

Includes members:
  Member "demo recon revealing and controlling pii leaks in mobile network traffic":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "security and privacy approaches in mixed reality a literature survey")
  Member "rappor randomized aggregatable privacy preserving ordinal response":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "locally private hypothesis selection")

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)