Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Gangwal, Ankit"'
Autor:
Gangwal, Ankit, Paliwal, Aashish
The recent rise of CubeSat has revolutionized global space explorations, as it offers cost-effective solutions for low-orbit space applications (including climate monitoring, weather measurements, communications, and earth observation). A salient fea
Externí odkaz:
http://arxiv.org/abs/2407.00784
Graph Neural Networks (GNNs) have become invaluable intellectual property in graph-based machine learning. However, their vulnerability to model stealing attacks when deployed within Machine Learning as a Service (MLaaS) necessitates robust Ownership
Externí odkaz:
http://arxiv.org/abs/2406.04805
While user authentication happens before initiating or resuming a login session, de-authentication detects the absence of a previously-authenticated user to revoke her currently active login session. The absence of proper de-authentication can lead t
Externí odkaz:
http://arxiv.org/abs/2309.12220
Electric vehicles (EVs) represent the long-term green substitute for traditional fuel-based vehicles. To encourage EV adoption, the trust of the end-users must be assured. In this work, we focus on a recently emerging privacy threat of profiling and
Externí odkaz:
http://arxiv.org/abs/2210.05433
Publikováno v:
27th European Symposium on Research in Computer Security (ESORICS '22), Copenhagen, Denmark, September 26-30, 2022
Bluetooth technology has enabled short-range wireless communication for billions of devices. Bluetooth Low-Energy (BLE) variant aims at improving power consumption on battery-constrained devices. BLE-enabled devices broadcast information (e.g., as be
Externí odkaz:
http://arxiv.org/abs/2204.08042
Publikováno v:
Elsevier Journal of Network and Computer Applications, 2022
After the success of the Bitcoin blockchain, came several cryptocurrencies and blockchain solutions in the last decade. Nonetheless, Blockchain-based systems still suffer from low transaction rates and high transaction processing latencies, which hin
Externí odkaz:
http://arxiv.org/abs/2204.08032
Learning useful representations from unstructured data is one of the core challenges, as well as a driving force, of modern data-driven approaches. Deep learning has demonstrated the broad advantages of learning and harnessing such representations. I
Externí odkaz:
http://arxiv.org/abs/1910.04232
Cybercriminals have been exploiting cryptocurrencies to commit various unique financial frauds. Covert cryptomining - which is defined as an unauthorized harnessing of victims' computational resources to mine cryptocurrencies - is one of the prevalen
Externí odkaz:
http://arxiv.org/abs/1909.00268
In recent years, the current Internet has experienced an unexpected paradigm shift in the usage model, which has pushed researchers towards the design of the Information-Centric Networking (ICN) paradigm as a possible replacement of the existing arch
Externí odkaz:
http://arxiv.org/abs/1903.07446
Recently, an ingenious protocol called Algorand has been proposed to overcome these limitations. Algorand uses an innovative process - called cryptographic sortition - to securely and unpredictably elect a set of voters from the network periodically.
Externí odkaz:
http://arxiv.org/abs/1901.10019