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 "oops had the silly thing in reverse optical injection attacks in through led status indicators"):
  Abstract: It is possible to attack a computer remotely through the front panel LEDs. Following on previous results that showed information leakage at optical wavelengths, now it seems practicable to inject information into a system as well. It is shown to be definitely feasible under realistic conditions (by infosec standards) of target system compromise; experimental results suggest it further may be possible, through a slightly different mechanism, even under high security conditions that put extremely difficult constraints on the attacker. The problem is of recent origin; it could not have occurred before a confluence of unrelated technological developments made it possible. Arduino-type microcontrollers are involved; this is an Internet of Things (IoT) vulnerability. Unlike some previous findings, the vulnerability here is moderate---at present---because it takes the infosec form of a classical covert channel. However, the architecture of several popular families of microcontrollers suggests that a Rowhammer-like directed energy optical attack that requires no malware might be possible. Phase I experiments yielded surprising and encouraging results; a covert channel is definitely practicable without exotic hardware, bandwidth approaching a Mbit/s, and the majority of discrete LEDs tested were found to be reversible on GPIO pins. Phase II experiments, not yet funded, will try to open the door remotely.

Includes members:
  Member "synesthesia detecting screen content via remote acoustic side channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "electro magnetic side channel attack through learned denoising and classification")
  Member "optical tempest":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "brightness leaking sensitive data from air gapped workstations via screen brightness")
  Member "powerhammer exfiltrating data from air gapped computers through power lines":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "brightness leaking sensitive data from air gapped workstations via screen brightness")
  Member "magneto covert channel between air gapped systems and nearby smartphones via cpu generated magnetic fields":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "brightness leaking sensitive data from air gapped workstations via screen brightness")
  Member "beatcoin leaking private keys from air gapped cryptocurrency wallets":
    also connected through other hyperedges:
      (none)
  Member "oops i think i scanned a malware":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optical tempest")
  Member "air jumper covert air gap exfiltration infiltration via security cameras infrared ir":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "powerhammer exfiltrating data from air gapped computers through power lines")
  Member "xled covert data exfiltration from air gapped networks via router leds":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "data exfiltration via multipurpose rfid cards and countermeasures")

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)