human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "dexteroid detecting malicious behaviors in android apps using reverse engineered life cycle models"):
  Abstract: Abstract   The amount of Android malware has increased greatly during the last few years. Static analysis is widely used in detecting such malware by analyzing the code without execution. The effectiveness of current tools relies on the app model as well as the malware detection algorithm which analyzes the app model. If the model and/or the algorithm is inadequate, then sophisticated attacks that are triggered by specific sequences of events will not be detected.  This paper presents a static analysis framework called Dexteroid, which uses reverse-engineered life cycle models to accurately capture the behaviors of Android components. Dexteroid systematically derives event sequences from the models, and uses them to detect attacks launched by specific ordering of events. A prototype implementation of Dexteroid detects two types of attacks: (1) leakage of private information, and (2) sending SMS to premium-rate numbers. A series of experiments are conducted on 1526 Google Play apps, 1259 Genome Malware apps, and a suite of benchmark apps called DroidBench and the results are compared with a state-of-the-art static analysis tool called FlowDroid. The evaluation results show that the proposed framework is effective and efficient in terms of precision, recall, and execution time.

Includes members:
  Member "i know what leaked in your pocket uncovering privacy leaks on android apps with static taint analysis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "storydroid automated generation of storyboard for android apps")
  Member "sound and precise malware analysis for android via pushdown reachability and entry point saturation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "android malware detection based on factorization machine")

Question: Please tell me which class the source paper 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)