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: "towards the model driven engineering of secure yet safe embedded systems"
  Abstract: We introduce SysML-Sec, a SysML-based Model-Driven Engineering environment aimed at fostering the collaboration between system designers and security experts at all methodological stages of the development of an embedded system. A central issue in the design of an embedded system is the definition of the hardware/software partitioning of the architecture of the system, which should take place as early as possible. SysML-Sec aims to extend the relevance of this analysis through the integration of security requirements and threats. In particular, we propose an agile methodology whose aim is to assess early on the impact of the security requirements and of the security mechanisms designed to satisfy them over the safety of the system. Security concerns are captured in a component-centric manner through existing SysML diagrams with only minimal extensions. After the requirements captured are derived into security and cryptographic mechanisms, security properties can be formally verified over this design. To perform the latter, model transformation techniques are implemented in the SysML-Sec toolchain in order to derive a ProVerif specification from the SysML models. An automotive firmware flashing procedure serves as a guiding example throughout our presentation. Most contributions around Model Driven Engineering (MDE) now offer appropriate methodologies and modeling environments for designing safe, complex, distributed, and real-time embedded systems. The analysis of timing constraints, scheduling, resource allocation, and concurrency are commonly handled by these environments. In contrast, security has long been considered in retrospect, especially after serious flaws were discovered in computerized systems. Security as well as privacy issues have in particular only recently become a major concern in embedded systems. However, the size, heterogeneity, and communication features of modern embedded systems make it compelling to develop a suitable engineering environment to more explicitly define security objectives and threats, to implement countermeasures with security mechanisms, and to assess or even formally prove the effectiveness of security countermeasures. We introduce SysML-Sec, a SysML-based Model-Driven Engineering environment aimed at fostering the collaboration between system designers and security experts at all methodological stages of the development of an embedded system. SysML-Sec introduces both customized SysML diagrams for security matters and an associated methodology. The SysML-Sec methodology includes three SysMLbased stages. (i) System analysis starts with a partitioning-based process in which security requirements and threats can be identified together with functional features of the system. (ii) System design focuses on software-implemented security mechanisms. Finally, (iii) System validation intends to formally verify, simulate, and test the models built at previous stages by relying on model transformation techniques. This paper presents the overall methodology, with a particular focus on the design and proof of security mechanisms.

Connected through hyperedge HE-1 (induced by source paper "formalized risk assessment for safety and security"):
  with members:
    - "malware epidemics effects in a lanchester conflict model"
    - "towards integrated modelling of dynamic access control with uml and event b"

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.SE(Software Engineering)