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 "low complexity multiclass encryption by compressed sensing part ii known plaintext attacks"):
  Abstract: Despite its intrinsic linearity, compressed sensing may be exploited to at least partially encrypt acquired signals from unintentional receivers: in the companion paper we have shown that the simplicity of its encoding allows the definition of a general, lightweight scheme in which transmitters distribute the same information to receivers of different classes enabled to recover it with different quality levels. In this investigation we quantify the robustness of such a scheme with respect to known-plaintext attacks. The odds of such an attack are shown by theoretical means, proving that the number of candidate encoding matrices matching a typical plaintext-ciphertext pair is astronomically large, thus making the search for the true encoding infeasible. These attacks are also simulated by applying compressed sensing to a variety of signals (speech, images and electrocardiographic traces) showing how this difficulty in extracting information on the true encoding matrix from a plaintext-ciphertext pair is reflected on the quality of the signals recovered by the attacker. The results clarify that, although not perfectly secure, CS grants a noteworthy level of security that may come at almost-zero cost and especially benefit resource-limited applications.

Includes members:
  Member "robustly stable signal recovery in compressed sensing with structured matrix perturbation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fast single image dehazing via multilevel wavelet transform based optimization")
  Member "rakeness in the design of analog to information conversion of sparse and localized signals":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on known plaintext attacks to a compressed sensing based encryption a quantitative analysis")
  Member "general deviants an analysis of perturbations in compressed sensing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "compressive sensing for cut improvement and local clustering")
  Member "optimally tuned iterative reconstruction algorithms for compressed sensing":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "random access for massive machine type communications")
  Member "exact matrix completion via convex optimization":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "finding the sparsest vectors in a subspace theory algorithms and 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.IT(Information Theory)