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: "android malware clustering through malicious payload mining"
  Abstract: Clustering has been well studied for desktop malware analysis as an effective triage method. Conventional similarity-based clustering techniques, however, cannot be immediately applied to Android malware analysis due to the excessive use of third-party libraries in Android application development and the widespread use of repackaging in malware development. We design and implement an Android malware clustering system through iterative mining of malicious payload and checking whether malware samples share the same version of malicious payload. Our system utilizes a hierarchical clustering technique and an efficient bit-vector format to represent Android apps. Experimental results demonstrate that our clustering approach achieves precision of 0.90 and recall of 0.75 for Android Genome malware dataset, and average precision of 0.98 and recall of 0.96 with respect to manually verified ground-truth.

Connected through hyperedge HE-1 (induced by source paper "droidetec android malware detection and malicious code localization through deep learning"):
  with members:
    - "android hiv a study of repackaging malware for evading machine learning detection"
    - "attention is all you need"
    - "a multi view context aware approach to android malware detection and malicious code localization"
    - "combining language and vision with a multimodal skip gram model"
    - "recurrent models of visual attention"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-2 (induced by source paper "malpaca malware packet sequence clustering and analysis"):
  with members:
    - "monet a user oriented behavior based malware variants detection system for android"
    - "deciphering malware s use of tls without decryption"
    - "technical aspects of cyber kill chain"

Connected through hyperedge HE-3 (induced by source paper "beyond labeling intuitive capability assessment of malware using network behavioral profiles"):
  with members:
    - "monet a user oriented behavior based malware variants detection system for android"
    - "deciphering malware s use of tls without decryption"

Connected through hyperedge HE-4 (induced by source paper "androzoo collecting millions of android apps and their metadata for the research community"):
  with members:
    - "i know what leaked in your pocket uncovering privacy leaks on android apps with static taint analysis"

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)