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 "perfectly secure encryption of individual sequences"):
  Abstract: In analogy to the well-known notion of finite--state compressibility of individual sequences, due to Lempel and Ziv, we define a similar notion of "finite-state encryptability" of an individual plaintext sequence, as the minimum asymptotic key rate that must be consumed by finite-state encrypters so as to guarantee perfect secrecy in a well-defined sense. Our main basic result is that the finite-state encryptability is equal to the finite-state compressibility for every individual sequence. This is in parallelism to Shannon's classical probabilistic counterpart result, asserting that the minimum required key rate is equal to the entropy rate of the source. However, the redundancy, defined as the gap between the upper bound (direct part) and the lower bound (converse part) in the encryption problem, turns out to decay at a different rate (in fact, much slower) than the analogous redundancy associated with the compression problem. We also extend our main theorem in several directions, allowing: (i) availability of side information (SI) at the encrypter/decrypter/eavesdropper, (ii) lossy reconstruction at the decrypter, and (iii) the combination of both lossy reconstruction and SI, in the spirit of the Wyner--Ziv problem.

Includes members:
  Member "universal communication part i modulo additive channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "universal decoding for source channel coding with side information")
  Member "efficient on line schemes for encoding individual sequences with side information at the decoder":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "universal wyner ziv coding for distortion constrained general side information")
  Member "on the wyner ziv problem for individual sequences":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the data processing theorem in the semi deterministic setting")
  Member "on context tree prediction of individual sequences":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a note on the compaction of long training sequences for universal classification a non probabilistic approach")

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)