Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Gupta, Maanak"'
Autor:
Manthena, Harikha, Shajarian, Shaghayegh, Kimmell, Jeffrey, Abdelsalam, Mahmoud, Khorsandroo, Sajad, Gupta, Maanak
Machine learning (ML) has seen exponential growth in recent years, finding applications in various domains such as finance, medicine, and cybersecurity. Malware remains a significant threat to modern computing, frequently used by attackers to comprom
Externí odkaz:
http://arxiv.org/abs/2409.13723
The introduction of transformers has been an important breakthrough for AI research and application as transformers are the foundation behind Generative AI. A promising application domain for transformers is cybersecurity, in particular the malware d
Externí odkaz:
http://arxiv.org/abs/2405.17190
In recent years, there has been a surge in malware attacks across critical infrastructures, requiring further research and development of appropriate response and remediation strategies in malware detection and classification. Several works have used
Externí odkaz:
http://arxiv.org/abs/2405.04010
As the focus on security of Artificial Intelligence (AI) is becoming paramount, research on crafting and inserting optimal adversarial perturbations has become increasingly critical. In the malware domain, this adversarial sample generation relies he
Externí odkaz:
http://arxiv.org/abs/2405.01728
In recent years, there has been a significant surge in malware attacks, necessitating more advanced preventive measures and remedial strategies. While several successful AI-based malware classification approaches exist categorized into static, dynami
Externí odkaz:
http://arxiv.org/abs/2404.12473
The evolving smart and interconnected systems are designed to operate with minimal human intervention. Devices within these smart systems often engage in prolonged operations based on sensor data and contextual factors. Recently, an Activity-Centric
Externí odkaz:
http://arxiv.org/abs/2403.10092
Windows malware is predominantly available in cyberspace and is a prime target for deliberate adversarial evasion attacks. Although researchers have investigated the adversarial malware attack problem, a multitude of important questions remain unansw
Externí odkaz:
http://arxiv.org/abs/2403.06428
SMS phishing, also known as "smishing", is a growing threat that tricks users into disclosing private information or clicking into URLs with malicious content through fraudulent mobile text messages. In recent past, we have also observed a rapid adva
Externí odkaz:
http://arxiv.org/abs/2402.09728
With the integration of connected devices, artificial intelligence, and heterogeneous networks in IoT-driven cyber-physical systems, our society is evolving as a smart, automated, and connected community. In such dynamic and distributed environments,
Externí odkaz:
http://arxiv.org/abs/2308.01783