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 "multimedia ipp codes with efficient tracing"):
  Abstract: Binary multimedia identifiable parent property codes (binary $t$-MIPPCs) are used in multimedia fingerprinting schemes where the identification of users taking part in the averaging collusion attack to illegally redistribute content is required. In this paper, we first introduce a binary strong multimedia identifiable parent property code (binary $t$-SMIPPC) whose tracing algorithm is more efficient than that of a binary $t$-MIPPC. Then a composition construction for binary $t$-SMIPPCs from $q$-ary $t$-SMIPPCs is provided. Several infinite series of optimal $q$-ary $t$-SMIPPCs of length $2$ with $t = 2, 3$ are derived from the relationships among $t$-SMIPPCs and other fingerprinting codes, such as $\overline{t}$-separable codes and $t$-MIPPCs. Finally, combinatorial properties of $q$-ary $2$-SMIPPCs of length $3$ are investigated, and optimal $q$-ary $2$-SMIPPCs of length $3$ with $q \equiv 0, 1, 2, 5 \pmod 6$ are constructed.

Includes members:
  Member "probabilistic existence results for parent identifying schemes":
    also connected through other hyperedges:
      (none)
  Member "codes with the identifiable parent property for multimedia fingerprinting":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "signature codes for weighted binary adder channel and multimedia fingerprinting")
  Member "probabilistic existence results for separable codes":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "signature codes for weighted binary adder channel and multimedia fingerprinting")
  Member "strongly separable codes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "signature codes for weighted binary adder channel and multimedia fingerprinting")

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)