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 "scalable online vetting of android apps for measuring declared sdk versions and their consistency with api calls"):
  Abstract: Android has been the most popular smartphone system with multiple platform versions active in the market. To manage the application's compatibility with one or more platform versions, Android allows apps to declare the supported platform SDK versions in their manifest files. In this paper, we conduct a systematic study of this modern software mechanism. Our objective is to measure the current practice of declared SDK versions (which we term as DSDK versions afterwards) in real apps, and the (in)consistency between DSDK versions and their host apps' API calls. To successfully analyze a modern dataset of 22,687 popular apps (with an average app size of 25MB), we design a scalable approach that operates on the Android bytecode level and employs a lightweight bytecode search for app analysis. This approach achieves a good performance suitable for online vetting in app markets, requiring only around 5 seconds to process an app on average. Besides shedding light on the characteristics of DSDK in the wild, our study quantitatively measures two side effects of inappropriate DSDK versions: (i) around 50% apps under-set the minimum DSDK versions and could incur runtime crashes, but fortunately, only 11.3% apps could crash on Android 6.0 and above; (ii) around 2% apps, due to under-claiming the targeted DSDK versions, are potentially exploitable by remote code execution, and a half of them invoke the vulnerable API via embedded third-party libraries. These results indicate the importance and difficulty of declaring correct DSDK, and our work can help developers fulfill this goal.

Includes members:
  Member "sclib a practical and lightweight defense against component hijacking in android applications":
    also connected through other hyperedges:
      (none)
  Member "discovering flaws in security focused static analysis tools for android using systematic mutation":
    also connected through other hyperedges:
      (none)
  Member "mopeye opportunistic monitoring of per app mobile network performance":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "mobile internet experience urban vs rural saturation vs starving")
  Member "measuring the declared sdk versions and their consistency with api calls in android apps":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "sclib a practical and lightweight defense against component hijacking in android applications")
  Member "mamadroid detecting android malware by building markov chains of behavioral models":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "hidden in plain sight obfuscated strings threatening your privacy")
  Member "indirect file leaks in mobile applications":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "sclib a practical and lightweight defense against component hijacking in android applications")
  Member "analyzing android browser apps for file vulnerabilities":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "sclib a practical and lightweight defense against component hijacking in android applications")
  Member "a sink driven approach to detecting exposed component vulnerabilities in android apps":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "sclib a practical and lightweight defense against component hijacking in android applications")

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.SE(Software Engineering)