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: "tacan transmitter authentication through covert channels in controller area networks"
  Abstract: Nowadays, the interconnection of automotive systems with modern digital devices offers advanced user experiences to drivers. Electronic Control Units (ECUs) carry out a multitude of operations using the insecure Controller Area Network (CAN) bus in automotive Cyber-Physical Systems (CPSs). Therefore, dangerous attacks, such as disabling brakes, are possible and the safety of passengers is at risk. In this paper, we present TACAN (Transmitter Authentication in CAN), which provides secure authentication of ECUs by exploiting the covert channels without introducing CAN protocol modifications or traffic overheads (i.e., no extra bits or messages are used). TACAN turns upside-down the originally malicious concept of covert channels and exploits it to build an effective defensive technique that facilitates transmitter authentication via a trusted Monitor Node. TACAN consists of three different covert channels for ECU authentication: 1) Inter-Arrival Time (IAT)-based, leveraging the IATs of CAN messages; 2) offset-based, exploiting the clock offsets of CAN messages; 3) Least Significant Bit (LSB)-based, concealing authentication messages into the LSBs of normal CAN data. We implement the covert channels on the University of Washington (UW) EcoCAR testbed and evaluate their performance through extensive experiments. We demonstrate the feasibility of TACAN, highlighting no traffic overheads and attesting the regular functionality of ECUs. In particular, the bit error ratios are within 0.1% and 0.42% for the IAT-based and offset-based covert channels, respectively. Furthermore, the bit error ratio of the LSB-based covert channel is equal to that of a normal CAN bus, which is 3.1x10^-7%.

Connected through hyperedge HE-1 (induced by source paper "covert channel based transmitter authentication in controller area networks"):
  with members:
    - "shape of the cloak formal analysis of clock skew based intrusion detection system in controller area networks"
    - "cloaking the clock emulating clock skew in controller area networks"
    - "end to end learning for self driving cars"

Connected through hyperedge HE-2 (induced by source paper "canto covert authentication with timing channels over optimized traffic flows for can"):
  with members:
    - "viden attacker identification on in vehicle networks"
    - "cloaking the clock emulating clock skew in controller area networks"

Connected through hyperedge HE-3 (induced by source paper "shape of the cloak formal analysis of clock skew based intrusion detection system in controller area networks"):
  with members:
    - "viden attacker identification on in vehicle networks"
    - "cloaking the clock emulating clock skew in controller area networks"
    - "identifying ecus using inimitable characteristics of signals in controller area networks"

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.CR(Cryptography and Security)