56+ min ago   (555+ words) Modern agriculture’s integration of Internet of Things (IoT), Industrial Control Systems (ICSs), and data analytics boosts productivity but introduces significant cybersecurity and data governance challenges. Existing scholarship is divided between policy-focused governance and technical attack analyses, hindering the development of…...

4+ hour, 6+ min ago   (308+ words) Visual security quantification is critical for evaluating perceptual image encryption schemes. Traditional visual security indices often rely on partial feature extraction and fixed-position block matching, which limits their capability to capture localized information leakage. To address these limitations, this paper…...

21+ hour, 38+ min ago   (482+ words) Classical machine learning (ML) models, including Logistic Regression (LR), Support Vector Machines (SVM), Random Forests (RF), and XGBoost, remain widely used in practical applications because of their efficiency, interpretability, and relatively low computational costs. However, their security properties against different adversarial…...

1+ day, 20+ hour ago   (625+ words) Web applications increasingly handle sensitive data in diverse use cases, but conventional encryption implementations apply a uniform level of cryptographic protection to all traffic, regardless of the associated risk. This static approach results in either excessive computational overhead when applying…...

4+ day, 17+ min ago   (466+ words) The widespread deployment of Internet of Things (IoT) devices has expanded the attack surface of modern networks, making IoT botnets a persistent cybersecurity threat. Although machine learning-based intrusion detection systems (IDSs) have demonstrated promising detection capability, their performance is often…...

5+ day, 19+ hour ago   (335+ words) To address the challenge of satisfying strict Service-Level Agreement (SLA) requirements for concurrent smart video surveillance tasks in heterogeneous edge computing environments, an SLA-aware adaptive scheduling algorithm for heterogeneous computing collaboration is proposed. First, a mixed-task flow model is constructed,…...

5+ day, 23+ hour ago   (656+ words) Algorithm-level payload identification (determining the specific encryption algorithm, compression format, or encoding scheme from raw byte fragments) is a foundational capability for ransomware detection, digital forensics, and cryptographic compliance auditing. To the best of our knowledge, no public benchmark dataset…...

6+ day, 4+ hour ago   (445+ words) Pre-assembled electricity transmission tower segments are susceptible to vibration-induced damage during road transportation because of their large dimensions, slender structural members, and complex connections. This study proposes a wire rope isolator (WRI)-based system to reduce the dynamic response of…...

6+ day, 19+ hour ago   (694+ words) Machine learning has become a widely adopted approach for URL-based phishing detection, with many studies reporting F1 scores exceeding 0.95 on benchmark datasets. However, recent adversarial machine learning research has questioned the robustness of these models, suggesting that small input perturbations can…...

1+ week, 4+ day ago   (757+ words) Automotive Ethernet networks increasingly rely on SOME/IP within the AUTOSAR Adaptive Platform for service-oriented ECU communication, yet SOME/IP lacks built-in security, exposing systems to Man-in-the-Middle (MitM), replay, spoofing, and eavesdropping attacks. As of AUTOSAR Release R22-11, no standardised security…...