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Full Description
The book provides invaluable insights into the transformative role of AI and ML in security, offering essential strategies and real-world applications to effectively navigate the complex landscape of today's cyber threats.
Protecting and Mitigating Against Cyber Threats delves into the dynamic junction of artificial intelligence (AI) and machine learning (ML) within the domain of security solicitations. Through an exploration of the revolutionary possibilities of AI and ML technologies, this book seeks to disentangle the intricacies of today's security concerns. There is a fundamental shift in the security soliciting landscape, driven by the extraordinary expansion of data and the constant evolution of cyber threat complexity. This shift calls for a novel strategy, and AI and ML show great promise for strengthening digital defenses. This volume offers a thorough examination, breaking down the concepts and real-world uses of this cutting-edge technology by integrating knowledge from cybersecurity, computer science, and related topics. It bridges the gap between theory and application by looking at real-world case studies and providing useful examples.
Protecting and Mitigating Against Cyber Threats provides a roadmap for navigating the changing threat landscape by explaining the current state of AI and ML in security solicitations and projecting forthcoming developments, bringing readers through the unexplored realms of AI and ML applications in protecting digital ecosystems, as the need for efficient security solutions grows. It is a pertinent addition to the multi-disciplinary discussion influencing cybersecurity and digital resilience in the future.
Readers will find in this book:
Provides comprehensive coverage on various aspects of security solicitations, ranging from theoretical foundations to practical applications;
Includes real-world case studies and examples to illustrate how AI and machine learning technologies are currently utilized in security solicitations;
Explores and discusses emerging trends at the intersection of AI, machine learning, and security solicitations, including topics like threat detection, fraud prevention, risk analysis, and more;
Highlights the growing importance of AI and machine learning in security contexts and discusses the demand for knowledge in this area.
Audience
Cybersecurity professionals, researchers, academics, industry professionals, technology enthusiasts, policymakers, and strategists interested in the dynamic intersection of artificial intelligence (AI), machine learning (ML), and cybersecurity.
Contents
Preface xxi
Part I: Foundations of AI & ML in Security 1
1 Foundations of AI and ML in Security 3
Sunil Kumar Mohapatra, Ankita Biswal, Harapriya Senapati, Adyasha Swain and Swarupa Pattanaik
2 Application of AI and ML in Threat Detection 29
Oviya Marimuthu, Priyadharshini Ravi and Senthil Janarthanan
3 Artificial Intelligence and Machine Learning Applications in Threat Detection 41
Indu P.V., Preethi Nanjundan and Lijo Thomas
Part II: AI & ML Applications in Threat Detection 57
4 Comparison Study Between Different Machine Learning (ML) Models Integrated with a Network Intrusion Detection System (NIDS) 59
Aryan Kapoor, Jayasankar K.S., Pranay Jiljith, Abishi Chowdhury, Shruti Mishra, Sandeep Kumar Satapathy, Janjhyam Venkata Naga Ramesh and Sachi Nandan Mohanty
5 Applications of AI, Machine Learning and Deep Learning for Cyber Attack Detection 79
Chandrakant Mallick, Parimal Kumar Giri, Mamata Garanayak and Sasmita Kumari Nayak
6 AI-Based Prioritization of Indicators of Intelligence in a Threat Intelligence Sharing Platform 101
Vijayadharshni, Krishan Shankash, Siddharth Tiwari, Shruti Mishra, Sandeep Kumar Satapathy, Sung-Bae Cho, Janjhyam Venkata Naga Ramesh and Sachi Nandan Mohanty
7 Email Spam Classification Using Novel Fusion of Machine Learning and Feed Forward Neural Network Approaches 119
Keshetti Sreekala, Maganti Venkatesh, M. V. Ramana Murthy, S. Venkata Meena, Srinivas Rathula and A. Lakshmanarao
8 Intrusion Detection in Wireless Networks Using Novel Classification Models 131
Archith Gandla, Dinesh K., Vasu Gambhirrao, R. M. Krsihna Sureddi, Ramakrishna Kolikipogu and Ramu Kuchipudi
9 Detection and Proactive Prevention of Website Swindling Using Hybrid Machine Learning Model 147
G. Nithish Rao, J.M.S. Abhinav and M. Venkata Krishna Reddy
Part III: Advanced Security Solutions & Case Studies 161
10 Securing the Future Networks: Blockchain-Based Threat Detection for Advanced Cyber Security 163
Adusumalli Balaji, T. Chaitanya, Tirupathi Rao Bammidi, Kanugo Sireesha and Dulam Devee Siva Prasad
11 Mitigating Pollution Attacks in Network Coding-Enabled Mobile Small Cells for Enhanced 5G Services in Rural Areas 191
Chanumolu Kiran Kumar and Nandhakumar Ramachandran
13 Enhancing Cyber-Security and Network Security Through Advanced Video Data Summarization Techniques 233
Aravapalli Rama Satish and Sai Babu Veesam
14 Deepfake Face Detection Using Deep Convolutional Neural Networks: A Comparative Study 267
Krishna Prasanna Gottumukkala, Sirikonda Manasa, Komal Chakravarthy and Kolikipogu Ramakrishna
15 Detecting Low-Rate DDoS Attacks for CS 283
P. Venkata Kishore, B. Sivaneasan, Amjan Shaik and Prasun Chakrabarti
16 Image Privacy Using Reversible Data Hiding and Encryption 301
Kiranmaie Puvulla, M. Venu Gopalachari, Sreeja Edla, Siddeshwar Vasam and Tushar Thakur
17 Object Detection in Aerial Imagery Using Object Centric Masked Image Modeling (OCMIM) 315
Aarthi Pulivarthi, Jitta Poojitha Reddy, Vanka Eshwar Prabhas, T. Satyanarayana Murthy, Ramesh Babu and Ramu Kuchipudi
18 Encryption and Decryption of Credit Card Data Using Quantum Cryptography 331
Sumit Ranjan, Armaan Munshi, Devansh Gupta, Sandeep Kumar Satapathy, Shruti Mishra, Abishi Chowdhury, Sachi Nandan Mohanty and Mannava Yesu Babu
19 Securing Secrets: Exploring Diverse Encryption and Decryption Through Cryptography with Deep Dive to AES 349
Yarradoddi Sai Sreenath Reddy, Gurram Thanmai, Kammila Charan Sri Sai Varma, Shruti Mishra, Sandeep Kumar Satapathy, Abishi Chowdhury, Sachi Nandan Mohanty and Mannava Yesu Babu
20 Secure Pass: Hash-Based Password Generator and Checker with Randomized Function 365
Aneesh Rathore, Ganesh Choudhary, Mradul Goyal, Shruti Mishra, Sandeep Kumar Satapathy, Janjhyam Venkata Naga Ramesh and Sachi Nandan Mohanty
21 Beyond Passwords: Face Authentication as a Futuristic Solution for Web Security 379
Paras Yadav, Manya Bhardwaj, Akshita Bhamidimarri, Shruti Mishra, Sandeep Kumar Satapathy, Janjhyam Venkata Naga Ramesh and Sachi Nandan Mohanty
22 Cryptographic Key Application for Biometric Implementation in Automobiles 401
Priyansh Chatap, Kavish Paul, Akshat Gupta, Sandeep Kumar Satapathy, Sung-Bae Cho, Shruti Mishra, Janjhyam Venkata Naga Ramesh and Sachi Nandan Mohanty
23 Password Strength Testing: An Overview and Evaluation 419
Tanmay Agrawal, Kaushal Kanna, Azeem, Abishi Chowdhury, Shruti Mishra, Sandeep Kumar Satapathy, Janjhyam Venkata Naga Ramesh and Sachi Nandan Mohanty
24 Digital Forensics Analysis on the Internet of Things and Assessment of Cyberattacks 431
Saswati Chatterjee, Suneeta Satpathy and Pratik Kumar Swain
25 Closing the Security Gap: Towards Robust and Explainable AI for Diabetic Retinopathy 445
R. S. M. Lakshmi Patibandla
26 Applications of Leveraging Diverse Machine Learning Models for Heart Stroke Prediction and its Security Aspects in Healthcare 473
Busa Shannu Sri, Kotha Dinesh Sai and U. M. Gopal Krishna
27 Enhancing Healthcare Security: A Revolutionary Methodology for Deep Learning-Based Intrusion Detection 483
M. Priyachitra, Prasanjit Singh, D. Senthil and Ellakkiya Sekar
28 AI and ML Application in Cybersecurity Hazard Recognition: Challenges, Opportunities, and Future Perspectives in Ethiopia, Horn of Africa 501
Shashi Kant and Metasebia Adula
References 528
Index 531
