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: "a study on power side channels on mobile devices"
  Abstract: Power side channel is a very important category of side channels, which can be exploited to steal confidential information from a computing system by analyzing its power consumption. In this paper, we demonstrate the existence of various power side channels on popular mobile devices such as smartphones. Based on unprivileged power consumption traces, we present a list of real-world attacks that can be initiated to identify running apps, infer sensitive UIs, guess password lengths, and estimate geo-locations. These attack examples demonstrate that power consumption traces can be used as a practical side channel to gain various confidential information of mobile apps running on smartphones. Based on these power side channels, we discuss possible exploitations and present a general approach to exploit a power side channel on an Android smartphone, which demonstrates that power side channels pose imminent threats to the security and privacy of mobile users. We also discuss possible countermeasures to mitigate the threats of power side channels.

Connected through hyperedge HE-1 (induced by source paper "maya falsifying power sidechannels with dynamic control"):
  with members:
    - "dvfs as a security failure of trustzone enabled heterogeneous soc"
    - "high efficiency power side channel attack immunity using noise injection in attenuated signature domain"
    - "power side channels in security ics hardware countermeasures"
    - "powerspy location tracking using mobile device power analysis"
    - "thermal covert channels on multi core platforms"
    - "design method for constant power consumption of differential logic circuits"

Connected through hyperedge HE-2 (induced by source paper "magneticspy exploiting magnetometer in mobile devices for website and application fingerprinting"):
  with members:
    - "stealing pins via mobile sensors actual risk versus user perception"
    - "robust website fingerprinting through the cache occupancy channel"
    - "magneto covert channel between air gapped systems and nearby smartphones via cpu generated magnetic fields"
    - "perfweb how to violate web privacy with hardware performance events"

Connected through hyperedge HE-3 (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"
    - "pin skimming exploiting the ambient light sensor in mobile devices"

Connected through hyperedge HE-4 (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"
    - "drama exploiting dram addressing for cross cpu attacks"

Connected through hyperedge HE-5 (induced by source paper "no free charge theorem a covert channel via usb charging cable on mobile devices"):
  with members:
    - "a new covert channel over cellular voice channel in smartphones"
    - "pin skimming exploiting the ambient light sensor in mobile devices"

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)