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: "sensitive information tracking in commodity iot"
  Abstract: Broadly defined as the Internet of Things (IoT), the growth of commodity devices that integrate physical processes with digital connectivity has had profound effects on society--smart homes, personal monitoring devices, enhanced manufacturing and other IoT apps have changed the way we live, play, and work. Yet extant IoT platforms provide few means of evaluating the use (and potential avenues for misuse) of sensitive information. Thus, consumers and organizations have little information to assess the security and privacy risks these devices present. In this paper, we present SainT, a static taint analysis tool for IoT applications. SainT operates in three phases; (a) translation of platform-specific IoT source code into an intermediate representation (IR), (b) identifying sensitive sources and sinks, and (c) performing static analysis to identify sensitive data flows. We evaluate SainT on 230 SmartThings market apps and find 138 (60%) include sensitive data flows. In addition, we demonstrate SainT on IoTBench, a novel open-source test suite containing 19 apps with 27 unique data leaks. Through this effort, we introduce a rigorously grounded framework for evaluating the use of sensitive information in IoT apps---and therein provide developers, markets, and consumers a means of identifying potential threats to security and privacy.

Connected through hyperedge HE-1 (induced by source paper "real time analysis of privacy un aware iot applications"):
  with members:
    - "a context aware framework for detecting sensor based threats on smart devices"
    - "aegis a context aware security framework for smart home systems"
    - "program analysis of commodity iot applications for security and privacy challenges and opportunities"
    - "soteria automated iot safety and security analysis"
    - "peek a boo i see your smart home activities even encrypted"
    - "a survey on sensor based threats to internet of things iot devices and applications"
    - "advertising in the iot era vision and challenges"
    - "iotdots a digital forensics framework for smart environments"

Connected through hyperedge HE-2 (induced by source paper "pfirewall semantics aware customizable data flow control for home automation systems"):
  with members:
    - "cross app interference threats in smart homes categorization detection and handling"
    - "soteria automated iot safety and security analysis"
    - "peek a boo i see your smart home activities even encrypted"
    - "a developer friendly library for smart home iot privacy preserving traffic obfuscation"
    - "user perceptions of smart home iot privacy"
    - "iotsan fortifying the safety of iot systems"
    - "spying on the smart home privacy attacks and defenses on encrypted iot traffic"
    - "closing the blinds four strategies for protecting smart home privacy from network observers"

Connected through hyperedge HE-3 (induced by source paper "a system level behavioral detection framework for compromised cps devices smart grid case"):
  with members:
    - "real time analysis of privacy un aware iot applications"
    - "aegis a context aware security framework for smart home systems"
    - "detection of compromised smart grid devices with machine learning and convolution techniques"
    - "advertising in the iot era vision and challenges"
    - "iotdots a digital forensics framework for smart environments"
    - "learning from mutants using code mutation to learn and monitor invariants of a cyber physical system"
    - "machine learning methods for attack detection in the smart grid"
    - "smart grid security threats challenges and solutions"

Connected through hyperedge HE-4 (induced by source paper "multi user multi device aware access control system for smart home"):
  with members:
    - "a context aware framework for detecting sensor based threats on smart devices"
    - "a system level behavioral detection framework for compromised cps devices smart grid case"
    - "healthguard a machine learning based security framework for smart healthcare systems"
    - "aegis a context aware security framework for smart home systems"
    - "soteria automated iot safety and security analysis"
    - "peek a boo i see your smart home activities even encrypted"
    - "advertising in the iot era vision and challenges"
    - "iotdots a digital forensics framework for smart environments"

Connected through hyperedge HE-5 (induced by source paper "viscr intuitive conflict free automation for securing the dynamic consumer iot infrastructures"):
  with members:
    - "soteria automated iot safety and security analysis"
    - "iotc2 a formal method approach for detecting conflicts in large scale iot systems"
    - "fog computing for sustainable smart cities a survey"
    - "decoupled ifttt constraining privilege in trigger action platforms for the internet of things"
    - "snap stateful network wide abstractions for packet processing"
    - "a fast compiler for netkat"
    - "merlin a language for provisioning network resources"

Connected through hyperedge HE-6 (induced by source paper "aegis a context aware security framework for smart home systems"):
  with members:
    - "a context aware framework for detecting sensor based threats on smart devices"
    - "cross app interference threats in smart homes categorization detection and handling"
    - "peek a boo i see your smart home activities even encrypted"
    - "iotdots a digital forensics framework for smart environments"
    - "6thsense a context aware sensor based attack detector for smart devices"
    - "context aware computing for the internet of things a survey"

Connected through hyperedge HE-7 (induced by source paper "a context aware framework for detecting sensor based threats on smart devices"):
  with members:
    - "a survey on sensor based threats to internet of things iot devices and applications"
    - "iotdots a digital forensics framework for smart environments"
    - "your voice assistant is mine how to abuse speakers to steal information and control your phone"
    - "pin skimming exploiting the ambient light sensor in mobile devices"

Connected through hyperedge HE-8 (induced by source paper "hdmi walk attacking hdmi distribution networks via consumer electronic control protocol"):
  with members:
    - "advertising in the iot era vision and challenges"
    - "iotdots a digital forensics framework for smart environments"
    - "6thsense a context aware sensor based attack detector for smart devices"
    - "understanding iot security through the data crystal ball where we are now and where we are going to be"

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)