Recent advancements in deep learning(DL)have introduced new security challenges in the form of side-channel attacks.A prime example is the website fingerprinting attack(WFA),which targets anonymity networks like Tor,e...
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Recent advancements in deep learning(DL)have introduced new security challenges in the form of side-channel attacks.A prime example is the website fingerprinting attack(WFA),which targets anonymity networks like Tor,enabling attackers to unveil users’protected browsing activities from traffic *** state-of-the-art WFAs have achieved remarkable results,they often rely on unrealistic single-website *** this paper,we undertake an exhaustive exploration of multi-tab website fingerprinting attacks(MTWFAs)in more realistic *** delve into MTWFAs and introduce MTWFA-SEG,a task involving the fine-grained packet-level classification within multi-tab Tor *** employing deep learning models,we reveal their potential to threaten user privacy by discerning visited websites and browsing session *** design an improved fully convolutional model for MTWFA-SEG,which are enhanced by both network architecture advances and traffic data *** the evaluations on interlocking browsing datasets,the proposed models achieve remarkable accuracy rates of over 68.6%,71.8%,and 76.1%in closed,imbalanced open,and balanced open-world settings,***,the proposed models exhibit substantial robustness across diverse train-test *** further validate our designs in a coarse-grained task,MTWFA-MultiLabel,where they not only achieve state-of-the-art performance but also demonstrate high robustness in challenging situations.
In recent times, drastic climate changes have caused a substantial increase in the growth of crop diseases. This causes large-scale demolition of crops, decreases cultivation, and eventually leads to the financial los...
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Operational technology, industrial automation, advanced healthcare systems, and smart city infrastructures are common forms of IoT integrated distributed networks. Numerous IoT components require vast amounts of power...
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Optical Coherence Tomography (OCT) is a high-resolution, non-invasive imaging technology increasingly used for biometric data collection from fingertips. OCT captures volume data up to 3mm below the skin surface in th...
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The agriculture industry's production and food quality have been impacted by plant leaf diseases in recent years. Hence, it is vital to have a system that can automatically identify and diagnose diseases at an ini...
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The multi-modal object detection technology based on visible-thermal vision sensors has drawn significant attention as it is capable of achieving reliable object detection in complex scenes with challenging lighting c...
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Airplanes play a critical role in global transportation, ensuring the efficient movement of people and goods. Although generally safe, aviation systems occasionally encounter incidents and accidents that underscore th...
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This paper proposes a Poor and Rich Squirrel Algorithm (PRSA)-based Deep Maxout network to find fraud data transactions in the credit card system. Initially, input transaction data is passed to the data transformation...
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Quantum communication is rapidly developing and is gradually being commercialized due to its technological maturity. Establishing dense communication links among multiple users in a scalable and efficient way is of gr...
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Quantum communication is rapidly developing and is gradually being commercialized due to its technological maturity. Establishing dense communication links among multiple users in a scalable and efficient way is of great significance for realizing a large-scale quantum communication network. Here, we propose a novel scheme to construct a fully connected polarizationentangled network, utilizing the engineering of spontaneous four-wave mixings(SFWMs) and a path-polarization converter. It does not require active optical switches which limit the communication speed, or trusted nodes which lead to potential security risks. The required frequency channels in the network grow linearly with the number of users. We experimentally demonstrate a six-user fully connected network with on-chip SFWM processes motivated by four pumps. Each user in the network receives a frequency channel, and all fifteen connections between the users are implemented simultaneously. Our work opens up a promising scheme to efficiently construct fully connected large-scale networks.
As healthcare services have become increasingly digitized, Electronic Health Records (EHRs) have become widely adopted, providing seamless data exchange among providers. Conventional EHRs, however, are extremely vulne...
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