Enhancing Agricultural Cybersecurity DOI
Hewa Majeed Zangana, Senny Luckyardi,

Firas Mahmood Mustafa

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 307 - 338

Published: April 8, 2025

The rapid digital transformation of agriculture through smart farming technologies has introduced new cybersecurity challenges that threaten the integrity, confidentiality, and availability critical agricultural data systems. As precision agriculture, Internet Things (IoT)-enabled sensors, automated decision-making become integral to modern farming, risks associated with cyber threats—such as breaches, ransomware attacks, supply chain vulnerabilities—continue escalate. Unlike traditional security measures, AI-driven solutions, including deep learning Large Language Models (LLMs), offer real-time threat detection, adaptive defense mechanisms, enhanced risk assessment capabilities. This chapter explores application these in securing networks, from intrusion detection incident response. It also presents case studies solutions implemented environments.

Language: Английский

Barriers to E-Tendering Implementation in the Construction Industry: A Comprehensive Review and Analysis of a Decade and Beyond DOI Open Access
Yusif Inusah, Aynur Kazaz, Serdar Ulubeyli

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2052 - 2052

Published: Feb. 27, 2025

This study addresses the scientific issue of insufficient systematization knowledge about barriers to electronic tendering (E-Tendering) in construction industry. is critical because it can potentially promote more effective, transparent, and environmentally friendly procurement practices, which help with sustainable development. The key goals this are identify categorize E-Tendering adoption across six (6) geographical regions make recommendations overcome identified barriers. research used a systematic literature review technique these from relevant databases. categorized main obstacles grouped according regions. Eight (8) significant were common locations. They (1) Inadequate technical/ICT skilled personnel, (2) data security, (3) policy or uniform standard legal framework, (4) resistance change, (5) ICT internet infrastructure, High investment cost implementation, (7) Lack support, Technical challenges. Furthermore, 10 implementation contributes improving It creating policies that long-term reform processes sector. also supports development by promoting efficient, processes.

Language: Английский

Citations

0

Cybercrime through the public lens: a longitudinal analysis DOI Creative Commons
Krishnashree Achuthan,

Sugandh Khobragade,

Robin M. Kowalski

et al.

Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 1, 2025

Language: Английский

Citations

0

Integrating Toxicology and Materials Science or Safer Metal-Based Products DOI Open Access

Vivek Chintada,

Narasimha Golla

Material Science Research India, Journal Year: 2025, Volume and Issue: 22(1), P. 08 - 33

Published: April 25, 2025

ABSTRACT: The surging demand for metal-based products in various industries has highlighted the critical need ensuring their safety and minimizing environmental impact. This review article delves into how collaboration between toxicology materials science can be used as a strategic approach to improve sustainability of products. By amalgamating insights from toxicological evaluations advancements science, this interdisciplinary framework aims revolutionize development production metal goods. Through toxicology, assessment detrimental effects compounds on human strength environment is conducted, providing valuable data inform research innovation. leveraging integrated approach, manufacturers optimize material selection, manufacturing processes, product design create safer more sustainable that meet both performance requirements standards. Continuous knowledge sharing toxicologists scientists hold key driving ongoing innovation advancing next-generation prioritize health well-being. KEYWORDS: Environmental impact; Human health; Innovation; Integration; Materials science; Metal-based products; Safety; Sustainability; Toxicology

Language: Английский

Citations

0

Enhancing Agricultural Cybersecurity DOI
Hewa Majeed Zangana, Senny Luckyardi,

Firas Mahmood Mustafa

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 307 - 338

Published: April 8, 2025

The rapid digital transformation of agriculture through smart farming technologies has introduced new cybersecurity challenges that threaten the integrity, confidentiality, and availability critical agricultural data systems. As precision agriculture, Internet Things (IoT)-enabled sensors, automated decision-making become integral to modern farming, risks associated with cyber threats—such as breaches, ransomware attacks, supply chain vulnerabilities—continue escalate. Unlike traditional security measures, AI-driven solutions, including deep learning Large Language Models (LLMs), offer real-time threat detection, adaptive defense mechanisms, enhanced risk assessment capabilities. This chapter explores application these in securing networks, from intrusion detection incident response. It also presents case studies solutions implemented environments.

Language: Английский

Citations

0