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: "pin skimming exploiting the ambient light sensor in mobile devices"
  Abstract: In this paper, we propose a new type of side channel which is based on the ambient-light sensor employed in today's mobile devices. The pervasive usage of mobile devices, i.e., smartphones and tablet computers and their vast amount of sensors represent a plethora of side channels posing a serious threat to the user's privacy and security. While recent advances in this area of research focused on the employed motion sensors and the camera as well as the sound, we investigate a less obvious source of information leakage, namely the ambient light. We successfully demonstrate that minor tilts and turns of mobile devices cause variations of the ambient-light sensor information. Thus, we are the first to show that this sensor leaks sensitive information. Furthermore, we demonstrate that these variations leak enough information to infer a user's personal identification number (PIN) input based on a set of known PINs. Our results show that we are able to determine the correct PIN---out of a set of 50 random PINs---within the first ten guesses about 80% of the time. In contrast, the chance of finding the right PIN by randomly guessing ten PINs would be 20%. Since the data required to perform such an attack can be gathered without any specific permissions or privileges, the presented side channel seriously jeopardizes the security and privacy of mobile-device owners.

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"
    - "mobile device identification via sensor fingerprinting"
    - "an egocentric look at video photographer identity"

Connected through hyperedge HE-2 (induced by source paper "secloak arm trustzone based mobile peripheral control"):
  with members:
    - "trustshadow secure execution of unmodified applications with arm trustzone"
    - "sgxio generic trusted i o path for intel sgx"
    - "enter sandbox android sandbox comparison"
    - "quire lightweight provenance for smart phone operating systems"

Connected through hyperedge HE-3 (induced by source paper "when human cognitive modeling meets pins user independent inter keystroke timing attacks"):
  with members:
    - "loophole timing attacks on shared event loops in chrome"
    - "flush flush a fast and stealthy cache attack"
    - "flush flush a fast and stealthy cache attack"
    - "armageddon cache attacks on mobile devices"
    - "drama exploiting dram addressing for cross cpu attacks"

Connected through hyperedge HE-4 (induced by source paper "a context aware framework for detecting sensor based threats on smart devices"):
  with members:
    - "sensitive information tracking in commodity iot"
    - "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"

Connected through hyperedge HE-5 (induced by source paper "spectre is here to stay an analysis of side channels and speculative execution"):
  with members:
    - "speculative buffer overflows attacks and defenses"
    - "powerhammer exfiltrating data from air gapped computers through power lines"
    - "spectre returns speculation attacks using the return stack buffer"
    - "drama exploiting dram addressing for cross cpu attacks"

Connected through hyperedge HE-6 (induced by source paper "hearing your touch a new acoustic side channel on smartphones"):
  with members:
    - "sonarsnoop active acoustic side channel attacks"
    - "don t skype type acoustic eavesdropping in voice over ip"
    - "a study on power side channels on mobile devices"

Connected through hyperedge HE-7 (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-8 (induced by source paper "replacement autoencoder a privacy preserving algorithm for sensory data analysis"):
  with members:
    - "self normalizing neural networks"
    - "a smart home is no castle privacy vulnerabilities of encrypted iot traffic"
    - "a hybrid deep learning architecture for privacy preserving mobile analytics"
    - "touchsignatures identification of user touch actions and pins based on mobile sensor data via javascript"
    - "unsupervised representation learning with deep convolutional generative adversarial networks"
    - "privacy in the internet of things threats and challenges"
    - "representation learning a review and new perspectives"

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)