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 "safe d self attestation for networks of heterogeneous embedded devices"):
  Abstract: The Internet of Things (IoT) is an emerging paradigm that allows a fine-grained and autonomous control of the surrounding environment. This is achieved through a large number of devices that collaboratively perform complex tasks. To date, IoT networks are used in a variety of critical scenarios and therefore their security has become a primary concern. A robust technique to enhance the integrity of remote devices is called Remote Attestation (RA). However, classic RA schemes require a central and powerful entity, called Verifier, that manages the entire process of attestation. This makes the entire system dependent on an external entity and inevitably introduces a single point of failure. #R##N#In our work, we present SAFE^d: the first concrete solution to self-attest autonomous networks of heterogeneous embedded devices. SAFE d overcomes the limitations of the previous works by spreading the duties of the Verifier among all the devices in a scalable way. In our schema, the information needed for the attestation phase is replicated inside the network, thus raising the bar to accomplish an attack. As a result, the IoT network can self-inspect its integrity and self-recover in case of attack, without the need of an external entity. Our proposal exploits the security guarantees offered by ARM TrustZone chips to perform a decentralized attestation protocol based on an enhanced version of a distributed hash table. #R##N#We implemented a prototype of SAFE d for the Raspberry Pi platform to evaluate the feasibility and the security properties of our protocol. Moreover, we measured the scalable properties of SAFE d by using a large network of virtual devices. The results show that SAFE d can detect infected devices and recover up to 99.7% of its initial status in case of faults or attacks. Moreover, we managed to protect 50 devices with a logarithmic overhead on the network and the devices' memory.

Includes members:
  Member "scarr scalable runtime remote attestation for complex systems":
    also connected through other hyperedges:
      (none)
  Member "scarr a novel scalable runtime remote attestation":
    also connected through other hyperedges:
      (none)
  Member "hydra hybrid design for remote attestation using a formally verified microkernel":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a verified architecture for proofs of execution on remote devices under full software compromise")
  Member "optimized certificate revocation list distribution for secure v2x communications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "an optimal security management framework for backhaul aware 5g vehicle to everything v2x")
  Member "c flat control flow attestation for embedded systems software":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "sadan scalable adversary detection in autonomous networks")

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.CR(Cryptography and Security)