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 "steganalysis detecting lsb steganographic techniques"):
  Abstract: Steganalysis means analysis of stego images. Like cryptanalysis, steganalysis is used to detect messages often encrypted using secret key from stego images produced by steganography techniques. Recently lots of new and improved steganography techniques are developed and proposed by researchers which require robust steganalysis techniques to detect the stego images having minimum false alarm rate. This paper discusses about the different Steganalysis techniques and help to understand how, where and when this techniques can be used based on different situations.

Includes members:
  Member "reversible and irreversible data hiding technique":
    also connected through other hyperedges:
      (none)
  Member "a survey on various data hiding techniques and their comparative analysis":
    also connected through other hyperedges:
      (none)
  Member "steganography and steganalysis different approaches":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "study of encryption and decryption of wave file in image formats")
  Member "data hiding techniques using prime and natural numbers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "application of multi factor authentication in internet of things domain")
  Member "an lsb data hiding technique using prime numbers":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "reversible and irreversible data hiding technique")
  Member "an lsb data hiding technique using natural number decomposition":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "survey of operating systems for the iot environment")

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.MM(Multimedia)