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 "automated detection exploitation and elimination of double fetch bugs using modern cpu features"):
  Abstract: Double-fetch bugs are a special type of race condition, where an unprivileged execution thread is able to change a memory location between the time-of-check and time-of-use of a privileged execution thread. If an unprivileged attacker changes the value at the right time, the privileged operation becomes inconsistent, leading to a change in control flow, and thus an escalation of privileges for the attacker. More severely, such double-fetch bugs can be introduced by the compiler, entirely invisible on the source-code level. #R##N#We propose novel techniques to efficiently detect, exploit, and eliminate double-fetch bugs. We demonstrate the first combination of state-of-the-art cache attacks with kernel-fuzzing techniques to allow fully automated identification of double fetches. We demonstrate the first fully automated reliable detection and exploitation of double-fetch bugs, making manual analysis as in previous work superfluous. We show that cache-based triggers outperform state-of-the-art exploitation techniques significantly, leading to an exploitation success rate of up to 97%. Our modified fuzzer automatically detects double fetches and automatically narrows down this candidate set for double-fetch bugs to the exploitable ones. We present the first generic technique based on hardware transactional memory, to eliminate double-fetch bugs in a fully automated and transparent manner. We extend defensive programming techniques by retrofitting arbitrary code with automated double-fetch prevention, both in trusted execution environments as well as in syscalls, with a performance overhead below 1%.

Includes members:
  Member "cachezoom how sgx amplifies the power of cache attacks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "copycat controlled instruction level attacks on enclaves for maximal key extraction")
  Member "software grand exposure sgx cache attacks are practical":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "distributed systems and trusted execution environments trade offs and challenges")
  Member "malware guard extension using sgx to conceal cache attacks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (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-4 (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-5 (induced by source paper "copycat controlled instruction level attacks on enclaves for maximal key extraction")
  Member "armageddon cache attacks on mobile devices":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "nowhere to hide cross modal identity leakage between biometrics and devices")

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)