Leadership, Business and Management in STEM

Nyhet

Inbunden, Engelska, 2026

2 979 kr

Kommande

This comprehensive collection presents cutting-edge research at the intersection of cybersecurity, artificial intelligence, and emerging technologies for critical infrastructure protection. The book addresses pressing challenges in today's digital landscape, from machine learning-based threat detection and blockchain security to IoT vulnerabilities and advanced persistent threat mitigation. Contributors explore innovative AI-driven solutions for defending against sophisticated cyberattacks, including phishing detection, SQL injection prevention, DDoS mitigation, and protocol-based attack identification.The research spans multiple domains including SCADA systems security, industrial control systems protection, and the application of deep learning models for real-time threat detection. With a particular focus on practical implementation and performance evaluation, the book bridges theoretical concepts with real-world applications, making it invaluable for cybersecurity professionals, researchers, and organizations seeking to enhance their defensive capabilities against evolving cyber threats in an increasingly connected world. Based on a workshop at the International Conference on Leadership, Business, and Management with a STEM focus (ICLBM STEM 2024) held in San Francisco, California, USA, this work explores the powerful convergence of leadership, business, management, and the transformative capabilities of science, technology, engineering, and mathematics (STEM).

Produktinformation

Utgivningsdatum2026-01-11
Mått155 x 235 x undefined mm
FormatInbunden
SpråkEngelska
FörlagSpringer Nature Switzerland AG
ISBN9783032105387

Tillhör följande kategorier

Dr. Sushant Manakhari is a distinguished technology leader with extensive expertise in enterprise software development, research management, teaching, and mentorship. He is recognized as a top 1% mentor in software engineering and development in the US. Dr. Manakhari specializes in enterprise data engineering, artificial intelligence, machine learning, deep learning, and cloud computing practices. His educational background is rooted in engineering and technology, and he has consistently demonstrated a commitment to elevating organizational capabilities through strategic leadership and innovative solutions. Dr. Manakhari experience spans both academic and professional realms, making him a versatile and effective leader. In his professional journey, Dr. Manakhari has driven significant advancements in technology and research, fostering talent development and continuous growth within organizations. His expertise in cutting-edge technologies and his dedication to mentorship have made him a highly respected Dr. Satpreet Singh is a distinguished academic and organizational leader with a Doctor of Business Administration and a rich background in both business leadership and education. He currently serves as the Chief Academic Officer at the US Institute of Development Research and Innovation (USIDRI) in Washington DC, where he oversees academic programs and ensures they meet high standards of excellence. As a prolific researcher, Dr. Singh has authored multiple books and holds numerous copyrights, reflecting his deep insights into leadership, organizational success, and sustainable practices. In addition to his academic achievements, Dr. Satpreet Singh is the CEO of Ardass Corporation, where he has led the company to significant success through innovative strategies and a forward-thinking approach. His leadership has established foundational processes, identified new revenue opportunities, and cultivated a performance-driven company culture. Recognized with awards such as the Stevie Award for Best Entrepreneur – Business & Professional Services, Dr. Singh's impact on both the business and education sectors is profound and far-reaching.

.- You’re Doing Maslow’s Hierarchy All Wrong: What Should Leadership Really Look Like in the Workplace?..- Logistic Regression-Driven Framework for Securing IoT Networks Against Protocol-Based Threats..- A Hybrid IDS for APT Detection using BI- LSTM Ensemble Learning..- Real-Time Detection of Time-based Blind SQL Injection Using Machine Learning for Critical Infrastructure..- Analytical Study for DDoS Detection Algorithms in Cloud Computing..- Evaluating AI-Driven Algorithms for Detection and Pre vention of Code Injection Attacks..- Blockchain-Based Security Algorithms Evaluation for SCADA/ICS Systems..- Comparing Machine Learning Algorithms for Detection and Prevention of Cyber-Attacks on IoT Devices: A Literature Review..- Comparative Study of Defense Algorithms Against Denial of Service and Distributed Denial of Service Attacks..- Artificial Intelligence-Driven Solutions for Phishing Detection: A Comparative Analysis of Machine Learning Models..- Catalytic Role of Technological Turbulence between Entrepreneurial Orientation and Performance of SMEs with Mediating Nexus of Big Data Analytics and Artificial Intelligence.