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Utilizing AI in Network and Mobile Security for Threat Detection and Prevention

By Almaiah, Mohammed Amin

Utilizing AI in Network and Mobile Security for Threat Detection and Prevention Computer Science

Utilizing AI in Network and Mobile Security for Threat Detection and Prevention

By Almaiah, Mohammed Amin

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
364
Release Date:
2025-02-28
Publication Date:
2025-04-16
Publisher:
IGI Global
Languages:
Original: English
ISBN13:
9798369399200
Weight:
915 g
Height:
216 cm
Width:
280 cm
Thickness:
20 cm
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