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: "a bespoke forensics gis tool"
  Abstract: Today a lot of digital evidences for crime investigation includes a geospatial component. This data comes from various sources such as smartphones, tablets, navigation systems, digital camera with global positioning system (GPS), etc. The geospatial data plays a crucial role in crime investigation such as helping to tracking suspects, profiling serial offenders, recognizing trends in criminal activities, just a few. Many techniques and Geographic Information Systems (GIS) tools have been used to extract, analyse and visualise geospatial data. However, in some specific circumstances, the existing tools are not suitable for use as they do not meet investigators needs. This paper presents a bespoke forensic GIS tool based on specific requirements of the investigators of a law enforcement Department. Firstly the paper discusses some existing forensic GIS tools and environments in practices, and then it presents some investigators requirements and show the unsuitability of the existing tools. The paper continues with the presentation of the system architecture of the new tool and its components. It also introduces various applications and use cases which have been deploying at the Department as an evaluation of the developed tool.

Connected through hyperedge HE-1 (induced by source paper "privileged data within digital evidence"):
  with members:
    - "privacy preserving internet browsers forensic analysis of browzar"
    - "battling the digital forensic backlog through data deduplication"
    - "forensics acquisition and analysis of instant messaging and voip applications"

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)