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: "malware epidemics effects in a lanchester conflict model"
  Abstract: For developing a better comprehension of the large-scale effects of a cyber attack, the paper examines the effects of infections with self-replicating malware --- described by an SIR model --- on a distributed system. A Lanchester model of military forces engaged in kinetic combat serves as sample system affected by the malware. Its game-like setting illustrates the effects of malware in a concise way. Corresponding evaluation criteria are derived. Basic knowledge about the expected circumstances restricts the set of scenarios to be analyzed. Remaining uncertainties are taken into account by applying Monte-Carlo simulations, whereby the scenarios to be processed are selected randomly by information-theoretic principles. The resulting framework allows a model-based calculation of the risk and the fraction of scenarios, in which malware attacks can assure the win for kinetically inferior forces, depending on the specifical circumstances. For showing the value and the validity of the method, the proposed analysis method is applied to an exemplary situation, in which sparse knowledge causes large uncertainties about the situation. Based on the example we have derived some key findings: (1) Malware attacks affecting availability can turn around the outcome of the kinetic combat in a significant fraction of scenarios. (2) Cyber capabilities tend to soften out kinetic superiority or inferiority. (3) Using the most aggressive malware is not necessarily the best decision for an aggressor. (4) Starting countermeasures against a malware attack at the earliest possible time is not always the best decision for a defender.

Connected through hyperedge HE-1 (induced by source paper "formalized risk assessment for safety and security"):
  with members:
    - "towards integrated modelling of dynamic access control with uml and event b"
    - "towards the model driven engineering of secure yet safe embedded systems"

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)