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: "a novel image steganographic approach for hiding text in color images using hsi color model"
  Abstract: 2 Abstract: Image Steganography is the process of embedding text in images such that its existence cannot be detected by Human Visual System (HVS) and is known only to sender and receiver. This paper presents a novel approach for image steganography using Hue-Saturation-Intensity (HSI) color space based on Least Significant Bit (LSB). The proposed method transforms the image from RGB color space to Hue-Saturation-Intensity (HSI) color space and then embeds secret data inside the Intensity Plane (I-Plane) and transforms it back to RGB color model after embedding. The said technique is evaluated by both subjective and Objective Analysis. Experimentally it is found that the proposed method have larger Peak Signal-to Noise Ratio (PSNR) values, good imperceptibility and multiple security levels which shows its superiority as compared to several existing methods.

Connected through hyperedge HE-1 (induced by source paper "a new image steganographic technique using pattern based bits shuffling and magic lsb for grayscale images"):
  with members:
    - "a novel magic lsb substitution method m lsb sm using multi level encryption and achromatic component of an image"
    - "an adaptive secret key directed cryptographic scheme for secure transmission in wireless sensor networks"
    - "describing colors textures and shapes for content based image retrieval a survey"
    - "a secure cyclic steganographic technique for color images using randomization"
    - "ontology based secure retrieval of semantically significant visual contents"
    - "secure image steganography using cryptography and image transposition"

Connected through hyperedge HE-2 (induced by source paper "a novel magic lsb substitution method m lsb sm using multi level encryption and achromatic component of an image"):
  with members:
    - "describing colors textures and shapes for content based image retrieval a survey"
    - "a secure cyclic steganographic technique for color images using randomization"
    - "a novel steganography algorithm for hiding text in image using five modulus method"
    - "colour guided colour image steganography"

Connected through hyperedge HE-3 (induced by source paper "steganography a secure way for transmission in wireless sensor networks"):
  with members:
    - "a novel magic lsb substitution method m lsb sm using multi level encryption and achromatic component of an image"
    - "a new image steganographic technique using pattern based bits shuffling and magic lsb for grayscale images"
    - "an adaptive secret key directed cryptographic scheme for secure transmission in wireless sensor networks"
    - "describing colors textures and shapes for content based image retrieval a survey"
    - "a secure cyclic steganographic technique for color images using randomization"
    - "ontology based secure retrieval of semantically significant visual contents"
    - "secure image steganography using cryptography and image transposition"
    - "on topological properties of wireless sensor networks under the q composite key predistribution scheme with on off channels"

Connected through hyperedge HE-4 (induced by source paper "an adaptive secret key directed cryptographic scheme for secure transmission in wireless sensor networks"):
  with members:
    - "a secure cyclic steganographic technique for color images using randomization"
    - "ontology based secure retrieval of semantically significant visual contents"
    - "on topological properties of wireless sensor networks under the q composite key predistribution scheme with on off channels"
    - "security in wireless sensor networks issues and challenges"

Connected through hyperedge HE-5 (induced by source paper "describing colors textures and shapes for content based image retrieval a survey"):
  with members:
    - "a fusion of labeled grid shape descriptors with weighted ranking algorithm for shapes recognition"

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.MM(Multimedia)