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Adversarial attacks and defenses in machine learning-empowered communication systems and networks: A contemporary survey
Adversarial attacks and defenses in machine learning and deep neural network (DNN) have
been gaining significant attention due to the rapidly growing applications of deep learning in …
been gaining significant attention due to the rapidly growing applications of deep learning in …
Location privacy threats and protections in future vehicular networks: A comprehensive review
Location privacy is critical in vehicular networks, where drivers' trajectories and personal
information can be exposed, allowing adversaries to launch data and physical attacks that …
information can be exposed, allowing adversaries to launch data and physical attacks that …
Efficient and privacy-preserving arbitrary polygon range query scheme over dynamic and time-series location data
Location-based services (LBSs) provide enhanced functionality of mobile applications and
convenience for mobile users, which plays a more and more remarkable role in people's …
convenience for mobile users, which plays a more and more remarkable role in people's …
[HTML][HTML] A hierarchical distributed trusted location service achieving location k-anonymity against the global observer
As widely known in the literature, location-based services can seriously threaten users'
privacy. Privacy-aware location-based services can be obtained by protecting the user's …
privacy. Privacy-aware location-based services can be obtained by protecting the user's …
Location-privacy-aware service migration against inference attacks in multiuser MEC systems
In multiaccess edge computing (MEC) systems, service migration has been extensively
applied to ensure service quality by migrating services to follow mobile users. The existing …
applied to ensure service quality by migrating services to follow mobile users. The existing …
ByCAN: Reverse Engineering Controller Area Network (CAN) Messages from Bit to Byte Level
As the primary standard protocol for modern cars, the controller area network (CAN) is a
critical research target for automotive cybersecurity threats and autonomous applications. As …
critical research target for automotive cybersecurity threats and autonomous applications. As …
Preserving location‐query privacy in location‐based services: A review
Location‐based services (LBS) leverage the geographical information of a device to deliver
information, entertainment, and other services tailored to the user's present location. LBS not …
information, entertainment, and other services tailored to the user's present location. LBS not …
Sgo: Semantic group obfuscation for location-based services in vanets
Location privacy is an important parameter to be addressed in the case of vehicular ad hoc
networks. Each vehicle frequently communicates with location-based services to find the …
networks. Each vehicle frequently communicates with location-based services to find the …
Privacy-Preserving Tools and Technologies: Government Adoption and Challenges
Understanding the landscape of privacy protection in governmental systems is crucial for
ensuring the trustworthiness of public services and safeguarding citizens' sensitive data from …
ensuring the trustworthiness of public services and safeguarding citizens' sensitive data from …
Smart Contract Vulnerability Detection Based on Generative Adversarial Networks and Graph Matching Networks
With Blockchain technology's tamper-proof and decentralized characteristics, smart
contracts have been developed rapidly for wide application in critical areas, eg, the Internet …
contracts have been developed rapidly for wide application in critical areas, eg, the Internet …