TY - CHAP
T1 - Advanced tools and technologies for phishing prevention
AU - Mehra, Ishita
AU - Bansal, Shavi
AU - Chui, Kwok Tai
AU - Sharma, Vandana
AU - Sharma, Sunil Kumar
AU - Kaur, Kashish Preet
AU - Singh, Sunil K.
AU - Kumar, Sudhakar
N1 - Publisher Copyright:
© 2025, IGI Global Scientific Publishing. All rights reserved.
PY - 2025/2/14
Y1 - 2025/2/14
N2 - Phishing attacks are a major cybersecurity threat, exploiting human vulnerabilities by manipulating trust to access sensitive information. As phishing tactics evolve, the demand for advanced anti-phishing technologies has surged. This paper examines key measures such as email filters, SSL/TLS certificates, DNS-based authentication, multi-factor authentication, and URL filtering to protect against phishing. Advanced methods like machine learning, AI-driven analysis, and real-time threat detection have improved phishing prevention. It also discusses browser-based, cloud-based, and email security tools for mitigating risks. The paper highlights challenges such as evolving tactics, email filtering limitations, and user negligence, emphasizing the need for ongoing innovation in strategies. Future trends like AI, biometrics, and deep learning for threat intelligence are explored, showing potential to enhance phishing defense. A holistic approach integrating technology, protocols, and user awareness is advocated to combat phishing effectively at both individual and organizational levels.
AB - Phishing attacks are a major cybersecurity threat, exploiting human vulnerabilities by manipulating trust to access sensitive information. As phishing tactics evolve, the demand for advanced anti-phishing technologies has surged. This paper examines key measures such as email filters, SSL/TLS certificates, DNS-based authentication, multi-factor authentication, and URL filtering to protect against phishing. Advanced methods like machine learning, AI-driven analysis, and real-time threat detection have improved phishing prevention. It also discusses browser-based, cloud-based, and email security tools for mitigating risks. The paper highlights challenges such as evolving tactics, email filtering limitations, and user negligence, emphasizing the need for ongoing innovation in strategies. Future trends like AI, biometrics, and deep learning for threat intelligence are explored, showing potential to enhance phishing defense. A holistic approach integrating technology, protocols, and user awareness is advocated to combat phishing effectively at both individual and organizational levels.
UR - http://www.scopus.com/inward/record.url?scp=86000088076&partnerID=8YFLogxK
U2 - 10.4018/979-8-3693-8784-9.ch009
DO - 10.4018/979-8-3693-8784-9.ch009
M3 - Chapter
AN - SCOPUS:86000088076
SN - 9798369387849
SP - 187
EP - 211
BT - Critical Phishing Defense Strategies and Digital Asset Protection
ER -