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 "meet malexa alexa s malicious twin malware induced misperception through intelligent voice assistants"):
  Abstract: This paper reports the findings of a study where users (N=220) interacted with Malexa, Alexa's malicious twin. Malexa is an intelligent voice assistant with a simple and seemingly harmless third-party skill that delivers news briefings to users. The twist, however, is that Malexa covertly rewords these briefings to intentionally introduce misperception about the reported events. This covert rewording is referred to as a Malware-Induced Misperception (MIM) attack. It differs from squatting or invocation hijacking attacks in that it is focused on manipulating the "content" delivered through a third-party skill instead of the skill's "invocation logic." Malexa, in the study, reworded regulatory briefings to make a government response sound more accidental or lenient than the original news delivered by Alexa. The results show that users who interacted with Malexa perceived that the government was less friendly to working people and more in favor of big businesses. The results also show that Malexa is capable of inducing misperceptions regardless of the user's gender, political ideology or frequency of interaction with intelligent voice assistants. We discuss the implications in the context of using Malexa as a covert "influencer" in people's living or working environments.

Includes members:
  Member "user perceptions of smart home iot privacy":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "informing the design of privacy empowering tools for the connected home")
  Member "your voice assistant is mine how to abuse speakers to steal information and control your phone":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "short range audio channels security survey of mechanisms applications and research challenges")

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)