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: "mobile device identification via sensor fingerprinting"
  Abstract: We demonstrate how the multitude of sensors on a smartphone can be used to construct a reliable hardware fingerprint of the phone. Such a fingerprint can be used to de-anonymize mobile devices as they connect to web sites, and as a second factor in identifying legitimate users to a remote server. We present two implementations: one based on analyzing the frequency response of the speakerphone-microphone system, and another based on analyzing device-specific accelerometer calibration errors. Our accelerometer-based fingerprint is especially interesting because the accelerometer is accessible via JavaScript running in a mobile web browser without requesting any permissions or notifying the user. We present the results of the most extensive sensor fingerprinting experiment done to date, which measured sensor properties from over 10,000 mobile devices. We show that the entropy from sensor fingerprinting is sufficient to uniquely identify a device among thousands of devices, with low probability of collision.

Connected through hyperedge HE-1 (induced by source paper "a report on personally identifiable sensor data from smartphone devices"):
  with members:
    - "predicting floor level for 911 calls with neural networks and smartphone sensor data"
    - "mobile phone identification through the built in magnetometers"
    - "planet photo geolocation with convolutional neural networks"
    - "seeing behind the camera identifying the authorship of a photograph"
    - "hmog new behavioral biometric features for continuous authentication of smartphone users"
    - "data driven authentication on the effectiveness of user behaviour modelling with mobile device sensors"
    - "pin skimming exploiting the ambient light sensor in mobile devices"
    - "an egocentric look at video photographer identity"

Connected through hyperedge HE-2 (induced by source paper "covert association of applications on edge devices by processor workload"):
  with members:
    - "android inter app communication threats and detection techniques"
    - "bitwhisper covert signaling channel between air gapped computers using thermal manipulations"
    - "drama exploiting dram addressing for cross cpu attacks"
    - "thermal covert channels on multi core platforms"

Connected through hyperedge HE-3 (induced by source paper "from ip id to device id and kaslr bypass extended version"):
  with members:
    - "tracking users across the web via tls session resumption"
    - "measurement and analysis of udp traffic over wi fi and gprs"
    - "web tracking mechanisms implications and defenses"
    - "fragmentation considered poisonous"

Connected through hyperedge HE-4 (induced by source paper "on the security and applicability of fragile camera fingerprints"):
  with members:
    - "recovering missing coefficients in dct transformed images"

Connected through hyperedge HE-5 (induced by source paper "systematic classification of side channel attacks a case study for mobile devices"):
  with members:
    - "stealing pins via mobile sensors actual risk versus user perception"
    - "no free charge theorem a covert channel via usb charging cable on mobile devices"
    - "touchsignatures identification of user touch actions and pins based on mobile sensor data via javascript"
    - "the bumpy road towards iphone 5c nand mirroring"
    - "armageddon cache attacks on mobile devices"
    - "high precision fault injections on the instruction cache of armv7 m architectures"
    - "rowhammer js a remote software induced fault attack in javascript"
    - "a study on power side channels on mobile devices"

Connected through hyperedge HE-6 (induced by source paper "you are your metadata identification and obfuscation of social media users using metadata information"):
  with members:
    - "you are what you eat and drink identifying cultural boundaries by analyzing food drink habits in foursquare"
    - "scikit learn machine learning in python"
    - "social turing tests crowdsourcing sybil detection"
    - "de anonymizing social networks"

Connected through hyperedge HE-7 (induced by source paper "stealing pins via mobile sensors actual risk versus user perception"):
  with members:
    - "touchsignatures identification of user touch actions and pins based on mobile sensor data via javascript"
    - "exploring ways to mitigate sensor based smartphone fingerprinting"
    - "pin skimming exploiting the ambient light sensor in mobile devices"

Connected through hyperedge HE-8 (induced by source paper "user environment detection with acoustic sensors embedded on mobile devices for the recognition of activities of daily living"):
  with members:
    - "data fusion on motion and magnetic sensors embedded on mobile devices for the identification of activities of daily living"
    - "pattern recognition techniques for the identification of activities of daily living using mobile device accelerometer"
    - "sensingkit evaluating the sensor power consumption in ios devices"
    - "bigear inferring the ambient and emotional correlates from smartphone based acoustic big data"
    - "automatic environmental sound recognition performance versus computational cost"

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)