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: "a look at the dark side of hardware reverse engineering a case study"
  Abstract: A massive threat to the modern and complex IC production chain is the use of untrusted off-shore foundries which are able to infringe valuable hardware design IP or to inject hardware Trojans causing severe loss of safety and security. Similarly, market dominating SRAM-based FPGAs are vulnerable to both attacks since the crucial gate-level netlist can be retrieved even in field for the majority of deployed device series. In order to perform IP infringement or Trojan injection, reverse engineering (parts of) the hardware design is necessary to understand its internal workings. Even though IP protection and obfuscation techniques exist to hinder both attacks, the security of most techniques is doubtful since realistic capabilities of reverse engineering are often neglected. The contribution of our work is twofold: first, we carefully review an IP watermarking scheme tailored to FPGAs and improve its security by using opaque predicates. In addition, we show novel reverse engineering strategies on proposed opaque predicate implementations that again enables to automatically detect and alter watermarks. Second, we demonstrate automatic injection of hardware Trojans specifically tailored for third-party cryptographic IP gate-level netlists. More precisely, we extend our understanding of adversary's capabilities by presenting how block and stream cipher implementations can be surreptitiously weakened.

Connected through hyperedge HE-1 (induced by source paper "highway to hal open sourcing the first extendable gate level netlist reverse engineering framework"):
  with members:
    - "insights into the mind of a trojan designer the challenge to integrate a trojan into the bitstream"
    - "towards cognitive obfuscation impeding hardware reverse engineering based on psychological insights"
    - "teaching hardware reverse engineering educational guidelines and practical insights"
    - "hardware reverse engineering overview and open challenges"

Connected through hyperedge HE-2 (induced by source paper "towards cognitive obfuscation impeding hardware reverse engineering based on psychological insights"):
  with members:
    - "teaching hardware reverse engineering educational guidelines and practical insights"
    - "hardware reverse engineering overview and open challenges"

Connected through hyperedge HE-3 (induced by source paper "insights into the mind of a trojan designer the challenge to integrate a trojan into the bitstream"):
  with members:
    - "interdiction in practice hardware trojan against a high security usb flash drive"

Connected through hyperedge HE-4 (induced by source paper "stealthy opaque predicates in hardware obfuscating constant expressions at negligible overhead"):
  with members:
    - "interdiction in practice hardware trojan against a high security usb flash drive"
    - "physical design obfuscation of hardware a comprehensive investigation of device and logic level techniques"

Connected through hyperedge HE-5 (induced by source paper "teaching hardware reverse engineering educational guidelines and practical insights"):
  with members:
    - "hardware reverse engineering overview and open challenges"

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)