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: "defending against phishing attacks taxonomy of methods current issues and future directions"
  Abstract: Internet technology is so pervasive today, for example, from online social networking to online banking, it has made people's lives more comfortable. Due the growth of Internet technology, security threats to systems and networks are relentlessly inventive. One such a serious threat is "phishing", in which, attackers attempt to steal the user's credentials using fake emails or websites or both. It is true that both industry and academia are working hard to develop solutions to combat against phishing threats. It is therefore very important that organisations to pay attention to end-user awareness in phishing threat prevention. Therefore, the aim of our paper is twofold. First, we will discuss the history of phishing attacks and the attackers' motivation in details. Then, we will provide taxonomy of various types of phishing attacks. Second, we will provide taxonomy of various solutions proposed in literature to protect users from phishing based on the attacks identified in our taxonomy. Moreover, we have also discussed impact of phishing attacks in Internet of Things (IoTs). We conclude our paper discussing various issues and challenges that still exist in the literature, which are important to fight against with phishing threats.

Connected through hyperedge HE-1 (induced by source paper "sok a comprehensive reexamination of phishing research from the security perspective"):
  with members:
    - "deltaphish detecting phishing webpages in compromised websites"
    - "malicious url detection using machine learning a survey"
    - "an intelligent classification model for phishing email detection"
    - "do users focus on the correct cues to differentiate between phishing and genuine emails"
    - "know your phish novel techniques for detecting phishing sites and their targets"
    - "bit ly malicious deep dive into short url based e crime detection"
    - "an evasion and counter evasion study in malicious websites detection"
    - "phishari automatic realtime phishing detection on twitter"

Connected through hyperedge HE-2 (induced by source paper "manipulation of perceived politeness in a web based email discourse through a malicious browser extension"):
  with members:
    - "social engineering in a post phishing era ambient tactical deception attacks"
    - "all you need is love evading hate speech detection"
    - "sorry ambient tactical deception via malware based social engineering"

Connected through hyperedge HE-3 (induced by source paper "understanding the influence of individual s self efficacy for information systems security innovation adoption a systematic literature review"):
  with members:
    - "integrating self efficacy into a gamified approach to thwart phishing attacks"
    - "a model for the adoption process of information system security innovations in organisations a theoretical perspective"

Connected through hyperedge HE-4 (induced by source paper "a conceptual model for the organisational adoption of information system security innovations"):
  with members:
    - "serious games for cyber security education"
    - "a model for the adoption process of information system security innovations in organisations a theoretical perspective"
    - "a trust domains taxonomy for securely sharing information a preliminary investigation"
    - "phishing dynamic evolving neural fuzzy framework for online detection zero day phishing email"

Connected through hyperedge HE-5 (induced by source paper "phish phinder a game design approach to enhance user confidence in mitigating phishing attacks"):
  with members:
    - "a gamified approach to improve users memorability of fall back authentication"

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)