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 "cybersecurity in brain computer interfaces state of the art opportunities and future challenges"):
  Abstract: BCIs have significantly improved the patients' quality of life by restoring damaged hearing, sight and movement capabilities. After evolving their application scenarios, from medicine to entertainment, the trend of these interfaces is breaking new frontiers enabling new innovative brain-to-brain and brain-to-the-Internet communication paradigms. The increment in the possibilities offered by BCIs generates an attractive terrain for attackers, since users' personal information and physical integrity could be under risk. This article presents a comprehensive work to understand BCIs, their software cybersecurity concerns and future challenges. We initiate the article by reviewing the state-of-the-art of BCIs from the availability, confidentiality, integrity, and safety risks associated with their most well-known classifications. After that, we review the existing architectural versions of the BCI life-cycle and homogenise them in a new approach that overcomes the limitations of the current ones. A survey of the cybersecurity attacks affecting each phase of the BCI cycle is performed to analyse the impacts and countermeasures documented in the literature. Furthermore, new unexplored attacks concerning each phase are presented as well. After that, we review documented cyberattacks affecting the deployments of the BCI cycle, as well as their impacts and countermeasures. Like in the BCI design, new opportunities, in terms of cyberattacks and countermeasures, missed by the literature, are documented. Finally, we reflect on lessons learned, highlighting research trends and future challenges concerning cybersecurity on BCIs.

Includes members:
  Member "brainnet a multi person brain to brain interface for direct collaboration between brains":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "forbidden knowledge in machine learning reflections on the limits of research and publication")
  Member "progress in brain computer interfaces challenges and trends":
    also connected through other hyperedges:
      (none)
  Member "towards neural co processors for the brain combining decoding and encoding in brain computer interfaces":
    also connected through other hyperedges:
      (none)
  Member "fog computing a taxonomy survey and future directions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "efficient 3d road map data exchange for intelligent vehicles in vehicular fog networks")
  Member "mobile edge computing fog et al a survey and analysis of security threats and challenges":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "authentication access control privacy threats and trust management towards securing fog computing environments a review")
  Member "manipulating machine learning poisoning attacks and countermeasures for regression learning":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "secure and robust machine learning for healthcare a survey")
  Member "privacy security and trust in the internet of neurons":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "smart humans wannadie")
  Member "a survey on wireless security technical challenges recent advances and future trends":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "physical layer security in the finite blocklength regime over fading channels")

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)