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: "technical aspects of cyber kill chain"
  Abstract: Recent trends in targeted cyber-attacks has increased the interest of research in the field of cyber security. Such attacks have massive disruptive effects on organizations, enterprises and governments. Cyber kill chain is a model to describe cyber-attacks so as to develop incident response and analysis capabilities. Cyber kill chain in simple terms is an attack chain, the path that an intruder takes to penetrate information systems over time to execute an attack on the target. This paper broadly categories the methodologies, techniques and tools involved in cyber-attacks. This paper intends to help a cyber security researcher to realize the options available to an attacker at every stage of a cyber-attack.

Connected through hyperedge HE-1 (induced by source paper "unicorn runtime provenance based detector for advanced persistent threats"):
  with members:
    - "poirot aligning attack behavior with kernel audit records for cyber threat hunting"
    - "runtime analysis of whole system provenance"
    - "holmes real time apt detection through correlation of suspicious information flows"
    - "sleuth real time attack scenario reconstruction from cots audit data"
    - "saql a stream based query system for real time abnormal system behavior detection"
    - "how powerful are graph neural networks"
    - "benchmarking crimes an emerging threat in systems security"
    - "frappuccino fault detection through runtime analysis of provenance"

Connected through hyperedge HE-2 (induced by source paper "a receding horizon mdp approach for performance evaluation of moving target defense in networks"):
  with members:
    - "a survey of moving target defenses for network security"
    - "exact inference techniques for the analysis of bayesian attack graphs"

Connected through hyperedge HE-3 (induced by source paper "malpaca malware packet sequence clustering and analysis"):
  with members:
    - "android malware clustering through malicious payload mining"
    - "monet a user oriented behavior based malware variants detection system for android"
    - "deciphering malware s use of tls without decryption"

Connected through hyperedge HE-4 (induced by source paper "identification of bugs and vulnerabilities in tls implementation for windows operating system using state machine learning"):
  with members:
    - "cyber attack thread a control flow based approach to deconstruct and mitigate cyber threats"

Connected through hyperedge HE-5 (induced by source paper "a cyber kill chain based taxonomy of banking trojans for evolutionary computational intelligence"):
  with members:
    - "honeypots for employee information security awareness and education training a conceptual easy training model"
    - "ensemble based multi filter feature selection method for ddos detection in cloud computing"
    - "on the feasibility of attribute based encryption on smartphone devices"

Connected through hyperedge HE-6 (induced by source paper "cyber attack thread a control flow based approach to deconstruct and mitigate cyber threats"):
  with members:
    - "evolution of computer virus concealment and anti virus techniques a short survey"

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)