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: "don t skype type acoustic eavesdropping in voice over ip"
  Abstract: Acoustic emanations of computer keyboards represent a serious privacy issue. As demonstrated in prior work, physical properties of keystroke sounds might reveal what a user is typing. However, previous attacks assumed relatively strong adversary models that are not very practical in many real-world settings. Such strong models assume: (i) adversary's physical proximity to the victim, (ii) precise profiling of the victim's typing style and keyboard, and/or (iii) significant amount of victim's typed information (and its corresponding sounds) available to the adversary. #R##N#This paper presents and explores a new keyboard acoustic eavesdropping attack that involves Voice-over-IP (VoIP), called Skype & Type (S&T), while avoiding prior strong adversary assumptions. This work is motivated by the simple observation that people often engage in secondary activities (including typing) while participating in VoIP calls. As expected, VoIP software acquires and faithfully transmits all sounds, including emanations of pressed keystrokes, which can include passwords and other sensitive information. We show that one very popular VoIP software (Skype) conveys enough audio information to reconstruct the victim's input -- keystrokes typed on the remote keyboard. Our results demonstrate that, given some knowledge on the victim's typing style and keyboard model, the attacker attains top-5 accuracy of 91.7% in guessing a random key pressed by the victim. #R##N#Furthermore, we demonstrate that S&T is robust to various VoIP issues (e.g., Internet bandwidth fluctuations and presence of voice over keystrokes), thus confirming feasibility of this attack. Finally, it applies to other popular VoIP software, such as Google Hangouts.

Connected through hyperedge HE-1 (induced by source paper "short range audio channels security survey of mechanisms applications and research challenges"):
  with members:
    - "perils of zero interaction security in the internet of things"
    - "a survey on context based co presence detection techniques"
    - "doubleecho mitigating context manipulation attacks in copresence verification"
    - "survey and systematization of secure device pairing"
    - "continuous authentication for voice assistants"
    - "dolphinattack inaudible voice commands"
    - "a survey on homomorphic encryption schemes theory and implementation"
    - "sound proof usable two factor authentication based on ambient sound"

Connected through hyperedge HE-2 (induced by source paper "brokenstrokes on the in security of wireless keyboards"):
  with members:
    - "i send therefore i leak information leakage in low power wide area networks"
    - "software defined radios architecture state of the art and challenges"
    - "loophole timing attacks on shared event loops in chrome"
    - "keydrown eliminating keystroke timing side channel attacks"
    - "flush flush a fast and stealthy cache attack"
    - "a survey on wireless security technical challenges recent advances and future trends"
    - "flush flush a fast and stealthy cache attack"
    - "drama exploiting dram addressing for cross cpu attacks"

Connected through hyperedge HE-3 (induced by source paper "exploiting statistical and structural features for the detection of domain generation algorithms"):
  with members:
    - "encrypted and covert dns queries for botnets challenges and countermeasures"
    - "hydras and ipfs a decentralised playground for malware"
    - "detecting dga domains with recurrent neural networks and side information"
    - "inline detection of domain generation algorithms with context sensitive word embeddings"
    - "deep contextualized word representations"
    - "a survey on malicious domains detection through dns data analysis"
    - "automatic detection of malware generated domains with recurrent neural models"
    - "deepdga adversarially tuned domain generation and detection"

Connected through hyperedge HE-4 (induced by source paper "hearing your touch a new acoustic side channel on smartphones"):
  with members:
    - "sonarsnoop active acoustic side channel attacks"
    - "a study on power side channels on mobile devices"
    - "pin skimming exploiting the ambient light sensor in mobile devices"

Connected through hyperedge HE-5 (induced by source paper "pilot password and pin information leakage from obfuscated typing videos"):
  with members:
    - "passgan a deep learning approach for password guessing"

Connected through hyperedge HE-6 (induced by source paper "light ears information leakage via smart lights"):
  with members:
    - "irexf data exfiltration from air gapped networks by infrared remote control signals"
    - "side channel inference attacks on mobile keypads using smartwatches"
    - "air jumper covert air gap exfiltration infiltration via security cameras infrared ir"
    - "towards inferring mechanical lock combinations using wrist wearables as a side channel"
    - "powerspy location tracking using mobile device power analysis"

Connected through hyperedge HE-7 (induced by source paper "the untold secrets of operational wi fi calling services vulnerabilities attacks and countermeasures"):
  with members:
    - "robust smartphone app identification via encrypted network traffic analysis"
    - "finding tiny faces"
    - "ucf101 a dataset of 101 human actions classes from videos in the wild"

Connected through hyperedge HE-8 (induced by source paper "sonarsnoop active acoustic side channel attacks"):
  with members:
    - "systematic classification of side channel attacks a case study for mobile devices"
    - "detecting cyber physical attacks in additive manufacturing using digital audio signing"

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)