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: "intrusion detection using execution contexts learned from system call distributions of real time embedded systems"
  Abstract: The increasing number of security threats faced by real-time embedded systems requires the development of effective intrusion detection mechanisms. However, the limited resources in such systems, viz., computational power and storage, prevent current techniques from being effective. In this paper, we propose a lightweight method with a deterministic time complexity for detecting anomalous executions using a distribution of system call frequencies, i.e., the number of occurrences of each system call type during execution. We use the global k-means clustering with the Mahalanobis distance to learn the legitimate execution contexts of real-time embedded applications and then monitor them at run-time to detect intrusions. We also present minor processor modifications to aid in this process. Initial prototypes show that the proposed method can effectively detect anomalous executions without relying on overly sophisticated analyses. It can also detect certain attacks that current methods fail to do so.

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)