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 "a resource competitive jamming defense"):
  Abstract: Consider a scenario where Alice wishes to send a message $m$ to Bob in a time-slotted wireless network. However, there exists an adversary, Carol, who aims to prevent the transmission of $m$ by jamming the communication channel. There is a per-slot cost of $1$ to send, receive or jam $m$ on the channel, and we are interested in how much Alice and Bob need to spend relative to Carol in order to guarantee communication. #R##N#Our approach is to design an algorithm in the framework of resource-competitive analysis where the cost to correct network devices (i.e., Alice and Bob) is parameterized by the cost to faulty devices (i.e., Carol). We present an algorithm that guarantees the successful transmission of $m$ and has the following property: if Carol incurs a cost of $T$ to jam, then both Alice and Bob have a cost of $O(T^{\varphi - 1} + 1)=O(T^{.62}+1)$ in expectation, where $\varphi = (1+ \sqrt{5})/2$ is the golden ratio. In other words, it possible for Alice and Bob to communicate while incurring asymptotically less cost than Carol. We generalize to the case where Alice wishes to send $m$ to $n$ receivers, and we achieve a similar result. #R##N#Our findings hold even if (1) $T$ is unknown to either party; (2) Carol knows the algorithms of both parties, but not their random bits; (3) Carol can jam using knowledge of past actions of both parties; and (4) Carol can jam reactively, so long as there is sufficient network traffic in addition to $m$.

Includes members:
  Member "interactive communication with unknown noise rate":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "competitive broadcast against adaptive adversary in multi channel radio networks")
  Member "competitive mac under adversarial sinr":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "deterministic digital clustering of wireless ad hoc networks")
  Member "vulnerability of lte to hostile interference":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "5g nr jamming spoofing and sniffing threat assessment and mitigation")
  Member "asynchrony and collusion in the n party bar transfer problem":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "coping with unreliable workers in internet based computing an evaluation of reputation mechanisms")
  Member "making evildoers pay resource competitive broadcast in sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "competitive broadcast against adaptive adversary in multi channel radio networks")
  Member "sybilcontrol practical sybil defense with computational puzzles":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "resource competitive sybil defenses")
  Member "a jamming resistant mac protocol for multi hop wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "deepwifi cognitive wifi with deep learning")
  Member "netfence preventing internet denial of service from inside out":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "anonymizing masses practical light weight anonymity at the network level")

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.DC(Distributed, Parallel, and Cluster Computing)