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: "cybercrime and you how criminals attack and the human factors that they seek to exploit"
  Abstract: Cybercrime is a significant challenge to society, but it can be particularly harmful to the individuals who become victims. This chapter engages in a comprehensive and topical analysis of the cybercrimes that target individuals. It also examines the motivation of criminals that perpetrate such attacks and the key human factors and psychological aspects that help to make cybercriminals successful. Key areas assessed include social engineering (e.g., phishing, romance scams, catfishing), online harassment (e.g., cyberbullying, trolling, revenge porn, hate crimes), identity-related crimes (e.g., identity theft, doxing), hacking (e.g., malware, cryptojacking, account hacking), and denial-of-service crimes. As a part of its contribution, the chapter introduces a summary taxonomy of cybercrimes against individuals and a case for why they will continue to occur if concerted interdisciplinary efforts are not pursued.

Connected through hyperedge HE-1 (induced by source paper "catching the phish detecting phishing attacks using recurrent neural networks rnns"):
  with members:
    - "adam a method for stochastic optimization"
    - "recurrent neural network regularization"
    - "exact solutions to the nonlinear dynamics of learning in deep linear neural networks"
    - "on the difficulty of training recurrent neural networks"

Connected through hyperedge HE-2 (induced by source paper "the social and psychological impact of cyber attacks"):
  with members:
    - "cyber security awareness campaigns why do they fail to change behaviour"
    - "the group element of cybercrime types dynamics and criminal operations"
    - "privacy is the boring bit user perceptions and behaviour in the internet of things"
    - "security risk assessment in internet of things systems"

Connected through hyperedge HE-3 (induced by source paper "cybercrime investigators are users too understanding the socio technical challenges faced by law enforcement"):
  with members:
    - "the group element of cybercrime types dynamics and criminal operations"
    - "current challenges and future research areas for digital forensic investigation"

Connected through hyperedge HE-4 (induced by source paper "developing cybersecurity education and awareness programmes for small and medium sized enterprises smes"):
  with members:
    - "cyber security awareness campaigns why do they fail to change behaviour"
    - "are we there yet understanding the challenges faced in complying with the general data protection regulation gdpr"

Connected through hyperedge HE-5 (induced by source paper "the group element of cybercrime types dynamics and criminal operations"):
  with members:
    - "future scenarios and challenges for security and privacy"

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)