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Snort Meets Transformers: Accelerating Transformer-Based Network Traffic Classification for Real-Time Performance
Transformer-based models have emerged as a powerful solution for network traffic classification, achieving high accuracy by …
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FakeX: A Framework for Detecting Fake Reviews of Browser Extensions
Browser extensions boost user experience on the web. Similarly to smartphone app stores, browsers like Chrome distribute browser …
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Ideology and Power Identification in Parliamentary Debates
Political debates are vital in shaping public opinion and influencing policy decisions. However, understanding the complex linguistic …
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Clipaha: A Scheme to Perform Password Stretching on the Client
Password security relies heavily on the choice of password by the user but also on the one-way hash functions used at servers to …
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IBE.js: A Framework for Instrumenting Browser Extensions
Millions of people use web browsers daily. Extensions can enhance their basic functions. As the use and development of browser …
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DeDup.js: Discovering Malicious and Vulnerable Extensions by Detecting Duplication
Browser extensions are popular web applications that users install in modern browsers to enrich the user experience on the web. It is …
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Hardening the Security Analysis of Browser Extensions
Browser extensions boost browsing experience by a range of features from automatic translation and grammar correction to password …
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No Signal Left to Chance: Driving Browser Extension Analysis by Download Patterns
Browser extensions are popular small applications that allow users to enrich their browsing experience. Yet browser extensions pose …
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HMAC and “secure preferences”: Revisiting chromium-based browsers security
Google disabled years ago the possibility to freely modify some internal configuration parameters, so options like silently (un)install …
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Latex Gloves: Protecting Browser Extensions from Probing and Revelation Attacks
Browser extensions enable rich experience for the users of today’s web. Being deployed with elevated privileges, extensions are …
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