Название: Utilizing AI in Network and Mobile Security for Threat Detection and Prevention
Автор: Mohammed Amin Almaiah
Издательство: IGI Global
Год: 2025
Страниц: 364
Язык: английский
Формат: pdf (true), epub
Размер: 26.7 MB

Artificial Intelligence (AI) revolutionizes how organizations protect their digital information against cyber threats. Traditional security methods are often insufficient when faced with sophisticated attacks. AI-powered systems utilize Machine Learning, Deep Learning, and advanced analytics to detect patterns, identify anomalies, and predict potential threats in real time. By analyzing network traffic and mobile device behavior, AI can recognize and respond to malicious activity before it causes harm. This proactive approach enhances security protocols, reduces human error, and strengthens defenses against a wide range of cyberattacks, from malware to data breaches. Further research may reveal AI as an indispensable tool for securing networks and mobile environments, providing smarter, more adaptive solutions for threat detection and prevention. Utilizing AI in Network and Mobile Security for Threat Detection and Prevention explores the role of AI in enhancing cybersecurity measures. It examines AI techniques in anomaly and intrusion detection, Machine Learning for malware analysis and detection, predictive analytics to cybersecurity scenarios, and ethical considerations in AI. This book covers topics such as ethics and law, Machine Learning, and Data Science, and is a useful resource for computer engineers, data scientists, security professionals, academicians, and researchers.

The rapid increase in ransomware attacks has created a need for new cybersecurity methods. This research introduces a multi-​faceted approach using Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP) to improve the detection and prevention of ransomware attacks. It uses various AI and ML techniques to detect ransomware signatures, analyze system activities, and understand the evolving threat landscape. It can detect phishing attacks by analyzing email content and user behavior. It can also identify insider threats and assess the security posture of third-​party vendors. By using these AI-​powered solutions, organizations can strengthen their cybersecurity capabilities, detect threats at an earlier stage, and respond more effectively to cyber attacks. In the future, AI and ML will become more advanced in identifying and addressing complex cyber threats, such as Advanced Persistent Threats (APTs) and zero-​day attacks.