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: "securing on body iot devices by exploiting creeping wave propagation"
  Abstract: On-body devices are an intrinsic part of the Internet-of-Things (IoT) vision to provide human-centric services. These on-body IoT devices are largely embedded devices that lack a sophisticated user interface to facilitate traditional Pre-Shared Key based security protocols. Motivated by this real-world security vulnerability, this paper proposes SecureTag, a system designed to add defense in depth against active attacks by integrating physical layer (PHY) information with upper-layer protocols. The underpinning of SecureTag is a signal processing technique that extracts the peculiar propagation characteristics of creeping waves to discern on-body devices. Upon overhearing a suspicious transmission, SecureTag initiates a PHY-based challenge-response protocol to mitigate attacks. We implement our system on different commercial off-the-shelf (COTS) wearables and a smartphone. Extensive experiments are conducted in a lab, apartments, malls, and outdoor areas, involving 12 volunteer subjects of different age groups, to demonstrate the robustness of our system. Results show that our system can mitigate 96.13% of active attack attempts while triggering false alarms on merely 5.64% of legitimate traffic.

Connected through hyperedge HE-1 (induced by source paper "on secure transmission design an information leakage perspective"):
  with members:
    - "secrecy outage for wireless sensor networks"
    - "resonance based secure pairing for wearables"
    - "on secrecy metrics for physical layer security over quasi static fading channels"
    - "secure on off transmission design with channel estimation errors"
    - "rethinking the secrecy outage formulation a secure transmission design perspective"

Connected through hyperedge HE-2 (induced by source paper "on tracking the physicality of wi fi a subspace approach"):
  with members:
    - "channel charting locating users within the radio environment using channel state information"
    - "eigenvalue dynamics of a central wishart matrix with application to mimo systems"

Connected through hyperedge HE-3 (induced by source paper "cross technology communications for heterogeneous iot devices through artificial doppler shifts"):
  with members:
    - "fair coexistence of scheduled and random access wireless networks unlicensed lte wifi"
    - "cognitive internet of things a new paradigm beyond connection"

Connected through hyperedge HE-4 (induced by source paper "shieldscatter improving iot security with backscatter assistance"):
  with members:
    - "fm backscatter enabling connected cities and smart fabrics"
    - "rejecting the attack source authentication for wi fi management frames using csi information"

Connected through hyperedge HE-5 (induced by source paper "authenticating on body backscatter by exploiting propagation signatures"):
  with members:
    - "inter technology backscatter towards internet connectivity for implanted devices"

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.NI(Networking and Internet Architecture)