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 "anadroid malware analysis of android with user supplied predicates"):
  Abstract: Today's mobile platforms provide only coarse-grained permissions to users with regard to how third- party applications use sensitive private data. Unfortunately, it is easy to disguise malware within the boundaries of legitimately-granted permissions. For instance, granting access to "contacts" and "internet" may be necessary for a text-messaging application to function, even though the user does not want contacts transmitted over the internet. To understand fine-grained application use of permissions, we need to statically analyze their behavior. Even then, malware detection faces three hurdles: (1) analyses may be prohibitively expensive, (2) automated analyses can only find behaviors that they are designed to find, and (3) the maliciousness of any given behavior is application-dependent and subject to human judgment. To remedy these issues, we propose semantic-based program analysis, with a human in the loop as an alternative approach to malware detection. In particular, our analysis allows analyst-crafted semantic predicates to search and filter analysis results. Human-oriented semantic-based program analysis can systematically, quickly and concisely characterize the behaviors of mobile applications. We describe a tool that provides analysts with a library of the semantic predicates and the ability to dynamically trade speed and precision. It also provides analysts the ability to statically inspect details of every suspicious state of (abstract) execution in order to make a ruling as to whether or not the behavior is truly malicious with respect to the intent of the application. In addition, permission and profiling reports are generated to aid analysts in identifying common malicious behaviors.

Includes members:
  Member "quire lightweight provenance for smart phone operating systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "secloak arm trustzone based mobile peripheral control")
  Member "abstracting abstract machines":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "skeletal semantics and their interpretations")

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.PL(Programming Languages)