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 "a compiler assisted scheduler for detecting and mitigating cache based side channel attacks"):
  Abstract: Detection and mitigation of side-channel attacks is a very important problem. Although this is an active area of research, the solutions proposed in the literature have limitations in that they do not work in a real-world multi-tenancy setting on servers, have false positives or high overheads limiting their applicability. In this work, we demonstrate a compiler guided scheduler, Biscuit, which detects the cache-based side-channel attacks for processes scheduled on multi-tenancy server farms with very high accuracy. At the heart of the scheme is the generation and use of a cache miss model which is inserted by the compiler at the entrances of loop nests to predict the underlying cache misses. Such inserted beacons convey the cache miss information to the scheduler at run time which uses it to co-schedule processes such that their combined cache footprint does not exceed the maximum capacity of the last level cache. The scheduled processes are then monitored for actual vs predicted cache misses and when an anomaly is detected, the scheduler performs a binary search to isolate the attacker. We show that Biscuit is able to detect and mitigate Prime+Probe, Flush+Reload, and Flush+Flush attacks on OpenSSL cryptography algorithms with an F-score of 1 and also detect and mitigate degradation of service on the vision application suite with an F-score of 0.92. Under no attack scenario, the scheme poses low overheads (up to a maximum of 6\%). We believe that due to its ability to deal with multi-tenancy, its attack detection precision, ability to mitigate and low overheads, such a scheme is practicable.

Includes members:
  Member "a fast analytical model of fully associative caches":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "polyscientist automatic loop transformations combined with microkernels for optimization of deep learning primitives")
  Member "identifying cache based side channels through secret augmented abstract interpretation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "guidelines for implementing and auditing differentially private systems")
  Member "a survey of electromagnetic side channel attacks and discussion on their case progressing potential for digital forensics":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "leveraging electromagnetic side channel analysis for the investigation of iot devices")
  Member "eliminating timing side channel leaks using program repair":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "specusym speculative symbolic execution for cache timing leak detection")
  Member "a software approach to defeating side channels in last level caches":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "jackhammer efficient rowhammer on heterogeneous fpga cpu platforms")
  Member "flush flush a fast and stealthy cache attack":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "copycat controlled instruction level attacks on enclaves for maximal key extraction")
  Member "flush flush a fast and stealthy cache attack":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "copycat controlled instruction level attacks on enclaves for maximal key extraction")

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)