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 "can predictive filters detect gradually ramping false data injection attacks against pmus"):
  Abstract: Intelligently designed false data injection (FDI) attacks have been shown to be able to bypass the $\chi^2$-test based bad data detector (BDD), resulting in physical consequences (such as line overloads) in the power system. In this paper, it is shown that if an attack is suddenly injected into the system, a predictive filter with sufficient accuracy is able to detect it. However, an attacker can gradually increase the magnitude of the attack to avoid detection, and still cause damage to the system.

Includes members:
  Member "vulnerability assessment of n 1 reliable power systems to false data injection attacks":
    also connected through other hyperedges:
      (none)
  Member "unobservable false data injection attacks against pmus feasible conditions and multiplicative attacks":
    also connected through other hyperedges:
      (none)
  Member "false data injection attacks on phasor measurements that bypass low rank decomposition":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "survey on synchrophasor data quality and cybersecurity challenges and evaluation of their interdependencies")
  Member "evaluating power system vulnerability to false data injection attacks via scalable optimization":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "enhancing power system cyber security with systematic two stage detection strategy")
  Member "vulnerability analysis and consequences of false data injection attack on power system state estimation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "state of the art of cyber physical systems security an automatic control perspective")

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.SY(Systems and Control)