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 "attacks and defenses in crowdsourced mapping services"):
  Abstract: Compared to traditional online maps, crowdsourced maps such as Waze are unique in providing real-time updates on traffic, congestion, accidents and points of interest. In this paper, we explore the practical impact of attacks against crowdsourced map systems, and develop robust defenses against them. Our experiments show that a single attacker with limited resources can cause havoc on Waze, reporting false congestion and accidents and automatically rerouting user traffic. We describe techniques to emulate Waze-enabled vehicles using lightweight scripts, and how to use these "ghost riders" to compromise user privacy by remotely tracking precise user movements while avoiding detection. A single attacker can control groups of ghost riders, overwhelming data from legitimate users and magnifying the impact of attacks. As defense, we propose a new approach based on {\em co-location edges}, authenticated records that attest to the one-time physical co-location of a pair of devices. Over time, co-location edges combine to form large {\em proximity graphs}, network that attest to physical interactions between devices. "Ghost-riders" cannot physically interact with real devices and can be detected using graph algorithms. We demonstrate the efficacy of this approach using large simulations, and discuss how they can be used to dramatically reduce the impact of attacks against crowdsourced mapping services.

Includes members:
  Member "exploiting social navigation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "sadan scalable adversary detection in autonomous networks")
  Member "location cheating a security challenge to location based social network services":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a survey on context based co presence detection techniques")

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.SI(Social and Information Networks)