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Link-flooding attacks have the potential to disconnect even entire countries from the Internet. Moreover, newly proposed indirect link-flooding attacks, such as 'Crossfire', are extremely hard to expose and, subsequently, mitigate…

Networking and Internet Architecture · Computer Science 2016-11-09 Dimitrios Gkounis , Vasileios Kotronis , Christos Liaskos , Xenofontas Dimitropoulos

BrowserID is a complex, real-world Single Sign-On (SSO) System for web applications recently developed by Mozilla. It employs new HTML5 features (such as web messaging and web storage) and cryptographic assertions to provide decentralized…

Cryptography and Security · Computer Science 2019-01-31 Daniel Fett , Ralf Kuesters , Guido Schmitz

If two or more identical HTTPS clients, located at different geographic locations (regions), make an HTTPS request to the same domain (e.g. example.com), on the same day, will they receive the same HTTPS security guarantees in response? Our…

Cryptography and Security · Computer Science 2020-10-21 Eman Salem Alashwali , Pawel Szalachowski , Andrew Martin

Brain-Computer Interfaces (BCI) arose as systems that merge computing systems with the human brain to facilitate recording, stimulation, and inhibition of neural activity. Over the years, the development of BCI technologies has shifted…

Cybersecurity breaches are the common anomalies for distributed cyber-physical systems (CPS). However, the cyber security breach classification is still a difficult problem, even using cutting-edge artificial intelligence (AI) approaches.…

Cryptography and Security · Computer Science 2022-09-02 Junyi Liu , Yifu Tang , Haimeng Zhao , Xieheng Wang , Fangyu Li , Jingyi Zhang

Backdoor attacks significantly compromise the security of large language models by triggering them to output specific and controlled content. Currently, triggers for textual backdoor attacks fall into two categories: fixed-token triggers…

Cryptography and Security · Computer Science 2025-04-01 Jingyi Zheng , Tianyi Hu , Tianshuo Cong , Xinlei He

Split Learning (SL) is a collaborative learning approach that improves privacy by keeping data on the client-side while sharing only the intermediate output with a server. However, the distributed nature of SL introduces new security…

Machine Learning · Computer Science 2025-08-15 Tanveer Khan , Antonis Michalas

The Internet Economy has a strong dependency on cyberspace. This raises security risk scenarios due to the increasing number of vulnerabilities and the increased frequency and sophistication of cyber attacks, especially with the advent of…

Cryptography and Security · Computer Science 2015-06-15 Juan Manuel R. Mosso

Browsers use security policies to block malicious behaviors. Cross-Origin Read Blocking (CORB) is a browser security policy for preventing side-channel attacks such as Spectre. We propose a web browser security policy fuzzer called CorbFuzz…

Cryptography and Security · Computer Science 2021-09-02 Chaofan Shou , Ismet Burak Kadron , Qi Su , Tevfik Bultan

The Platform for Content-Structure Inference (PCSI, pronounced "pixie") facilitates the sharing of information about the process of converting Web resources into structured content objects that conform to a predefined format. PCSI records…

Information Retrieval · Computer Science 2025-01-24 Caleb Malchik , Joan Feigenbaum

nformation security is an issue of global concern. As the Internet is delivering great convenience and benefits to the modern society, the rapidly increasing connectivity and accessibility to the Internet is also posing a serious threat to…

Cryptography and Security · Computer Science 2010-05-07 J. Visumathi , K. L. Shunmuganathan

Modern web browsers have effectively become the new operating system for business applications, yet their security posture is often under-scrutinized. This paper presents a novel, comprehensive Browser Security Posture Analysis…

Cryptography and Security · Computer Science 2025-05-14 Avihay Cohen

Effective Cyber Threat Intelligence (CTI) relies upon accurately structured and semantically enriched information extracted from cybersecurity system logs. However, current methodologies often struggle to identify and interpret malicious…

Cryptography and Security · Computer Science 2026-04-28 Luca Cotti , Anisa Rula , Devis Bianchini , Federico Cerutti

This paper proposes a generic classification system designed to detect security threats based on the behavior of malware samples. The system relies on statistical features computed from proxy log fields to train detectors using a database…

Machine Learning · Statistics 2017-02-09 Lukas Machlica , Karel Bartos , Michal Sofka

Phishing is an increasingly sophisticated form of cyberattack that is inflicting huge financial damage to corporations throughout the globe while also jeopardizing individuals' privacy. Attackers are constantly devising new methods of…

Cryptography and Security · Computer Science 2024-03-18 Asif Newaz , Farhan Shahriyar Haq , Nadim Ahmed

SQL injection attacks, a class of injection flaw in which specially crafted input strings leads to illegal queries to databases, are one of the topmost threats to web applications. A Number of research prototypes and commercial products…

Databases · Computer Science 2015-04-28 Swapnil Kharche , Jagdish patil , Kanchan Gohad , Bharti Ambetkar

Distributed Denial of Service (DDoS) attacks are getting increasingly harmful to the Internet, showing no signs of slowing down. Developing an accurate detection mechanism to thwart DDoS attacks is still a big challenge due to the rich…

Cryptography and Security · Computer Science 2024-05-14 Raja Giryes , Lior Shafir , Avishai Wool

Identifying cross-language plagiarism is challenging, especially for distant language pairs and sense-for-sense translations. We introduce the new multilingual retrieval model Cross-Language Ontology-Based Similarity Analysis (CL-OSA) for…

Computation and Language · Computer Science 2021-12-17 Johannes Stegmüller , Fabian Bauer-Marquart , Norman Meuschke , Terry Ruas , Moritz Schubotz , Bela Gipp

Cyber Threat Intelligence (CTI) is information describing threat vectors, vulnerabilities, and attacks and is often used as training data for AI-based cyber defense systems such as Cybersecurity Knowledge Graphs (CKG). There is a strong…

Computation and Language · Computer Science 2022-08-04 Casey Hanks , Michael Maiden , Priyanka Ranade , Tim Finin , Anupam Joshi

Due to the variety of cyber-attacks or threats, the cybersecurity community enhances the traditional security control mechanisms to an advanced level so that automated tools can encounter potential security threats. Very recently, Cyber…

Machine Learning · Computer Science 2022-11-15 Md Imran Hossen , Ashraful Islam , Farzana Anowar , Eshtiak Ahmed , Mohammad Masudur Rahman , Xiali , Hei