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 "phishing for phools in the internet of things modeling one to many deception using poisson signaling games"):
  Abstract: Strategic interactions ranging from politics and pharmaceuticals to e-commerce and social networks support equilibria in which agents with private information manipulate others which are vulnerable to deception. Especially in cyberspace and the Internet of things, deception is difficult to detect and trust is complicated to establish. For this reason, effective policy-making, profitable entrepreneurship, and optimal technological design demand quantitative models of deception. In this paper, we use game theory to model specifically one-to-many deception. We combine a signaling game with a model called a Poisson game. The resulting Poisson signaling game extends traditional signaling games to include 1) exogenous evidence of deception, 2) an unknown number of receivers, and 3) receivers of multiple types. We find closed-form equilibrium solutions for a subset of Poisson signaling games, and characterize the rates of deception that they support. We show that receivers with higher abilities to detect deception can use crowd-defense tactics to mitigate deception for receivers with lower abilities to detect deception. Finally, we discuss how Poisson signaling games could be used to defend against the process by which the Mirai botnet recruits IoT devices in preparation for a distributed denial-of-service attack.

Includes members:
  Member "deception by design evidence based signaling games for network defense":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "game theory for cyber deception a tutorial")
  Member "flip the cloud cyber physical signaling games in the presence of advanced persistent threats":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "game theory for cyber deception a tutorial")
  Member "finding deceptive opinion spam by any stretch of the imagination":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "description based text classification with reinforcement learning")

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)