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 "real time analysis of privacy un aware iot applications"):
  Abstract: Users trust IoT apps to control and automate their smart devices. These apps necessarily have access to sensitive data to implement their functionality. However, users lack visibility into how their sensitive data is used (or leaked), and they often blindly trust the app developers. In this paper, we present IoTWatcH, a novel dynamic analysis tool that uncovers the privacy risks of IoT apps in real-time. We designed and built IoTWatcH based on an IoT privacy survey that considers the privacy needs of IoT users. IoTWatcH provides users with a simple interface to specify their privacy preferences with an IoT app. Then, in runtime, it analyzes both the data that is sent out of the IoT app and its recipients using Natural Language Processing (NLP) techniques. Moreover, IoTWatcH informs the users with its findings to make them aware of the privacy risks with the IoT app. We implemented IoTWatcH on real IoT applications. Specifically, we analyzed 540 IoT apps to train the NLP model and evaluate its effectiveness. IoTWatcH successfully classifies IoT app data sent to external parties to correct privacy labels with an average accuracy of 94.25%, and flags IoT apps that leak privacy data to unauthorized parties. Finally, IoTWatcH yields minimal overhead to an IoT app's execution, on average 105 ms additional latency.

Includes members:
  Member "a context aware framework for detecting sensor based threats on smart devices":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "multi user multi device aware access control system for smart home")
  Member "aegis a context aware security framework for smart home systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a system level behavioral detection framework for compromised cps devices smart grid case")
  Member "program analysis of commodity iot applications for security and privacy challenges and opportunities":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "beware of the app on the vulnerability surface of smart devices through their companion apps")
  Member "soteria automated iot safety and security analysis":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "pfirewall semantics aware customizable data flow control for home automation systems")
  Member "peek a boo i see your smart home activities even encrypted":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "iot behavioral monitoring via network traffic analysis")
  Member "sensitive information tracking in commodity iot":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "pfirewall semantics aware customizable data flow control for home automation systems")
  Member "a survey on sensor based threats to internet of things iot devices and applications":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "security of the internet of things vulnerabilities attacks and countermeasures")
  Member "advertising in the iot era vision and challenges":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "architectural software patterns for the development of iot smart applications")

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)