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  • Search: isPartOf:"Advancing Cybersecurity in Smart Factories Through Autonomous Robotic Defenses"
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Taj, Sher 4 Awasthi, Shantanu 3 Barthwal, Varun 2 Dwivedi, Vinay 2 Gadicha, Ajay B. 2 Gadicha, Vijay B. 2 Javed, Muhammad Danyal 2 Khan, Muneer 2 Khan, Rahim 2 Khan, Zahid Ullah 2 Rauthan, ManMohan Singh 2 Sissodia, Rajeshwari 2 Agarwal, Prachi 1 Agarwal, Shiwani 1 Amin, Sareer Ul 1 Amrousse, Rachid 1 Andrew Simon, P. 1 Ayyaswamy, Kathirvel 1 Azat, Seitkhan 1 Babu, C. V. Suresh 1 Bansal, Payal 1 Bhaggi, Ekta 1 Bhardwaj, Jagjot 1 Bhardwaj, Shivam 1 Burange, Mayur S. 1 Dahri, Hajan 1 Hashsham, Sharique 1 Hassan, Hina 1 Jamil, Tooba 1 Joshi, Ankush 1 Khan, Faheem 1 Khan, Javed 1 Khan, Zeeshan I. 1 Kumar, Rajeev 1 Kumari, Neeraj 1 Maniyar, Mohammad Moin 1 Manoharan, Sudhir 1 Mishra, Manmohan 1 Muhammad, Aman 1 Pandel, Neny 1
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Advancing Cybersecurity in Smart Factories Through Autonomous Robotic Defenses 17
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Deep Learning for Cyber Threat Analysis in Robotic Systems
Sabharwal, Shweta Mayor - In: Advancing Cybersecurity in Smart Factories Through …, (pp. 299-322). 2025
Robotic systems play a critical role in manufacturing healthcare, and transportation industries. However, their reliance on interconnected networks renders them vulnerable to cyber threats, including malware attacks, unauthorized access, and data breaches.Deep learning has emerged as a promising...
Persistent link: https://www.econbiz.de/10015535242
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Heart Disease Prediction Using Machine Learning Algorithms
Bhaggi, Ekta; Sahni, Varsha - In: Advancing Cybersecurity in Smart Factories Through …, (pp. 323-344). 2025
This chapter explores the application of machine learning (ML) techniques in predicting heart disease, a leading cause of mortality worldwide. Utilizing the Cleveland Heart Disease dataset, the chapter proposes a novel predictive model combining Decision Tree, Random Forest, and a Hybrid Model...
Persistent link: https://www.econbiz.de/10015535243
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Introduction to Artificial Intelligence (AI) and Cybersecurity in Robotics and Drone Systems
Sissodia, Rajeshwari; Rauthan, ManMohan Singh; … - In: Advancing Cybersecurity in Smart Factories Through …, (pp. 345-374). 2025
The integration of artificial intelligence (AI) into robotics and drone systems is revolutionizing various industries, enhancing operational efficiency and autonomy. However, this advancement also introduces significant cybersecurity challenges. As these technologies become more autonomous and...
Persistent link: https://www.econbiz.de/10015535244
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Introduction to Cyber Security: Issues, Challenges, and Emerging Technologies
Rani, Kanchan; Agarwal, Shiwani; Agarwal, Prachi; … - In: Advancing Cybersecurity in Smart Factories Through …, (pp. 375-396). 2025
In the current digital era, cyber security—which includes safeguards against malevolent attacks on computer systems, networks, and data—is a vital concern? An outline of cyber security best practices, technology, and principles is given in this document. Also addresses the different kinds of...
Persistent link: https://www.econbiz.de/10015535245
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The Evolution of Industrial Automation and Cybersecurity Risks
Taj, Sher; Dahri, Hajan; Ulah, Tahseen; Khan, Rahim; … - In: Advancing Cybersecurity in Smart Factories Through …, (pp. 397-430). 2025
Industrial automation has empowered industries and businesses such as energy, manufacturing, and critical infrastructure, driving efficiency and productivity. However, this technological advancement has also introduced complex cybersecurity errors and challenges. The increasing connectivity of...
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Unveiling the Potential of IoT and IIoT Industrial Technologies in Cybersecurity: Trends, Applications, and Future Prospective
Gadicha, Ajay B.; Gadicha, Vijay B. - In: Advancing Cybersecurity in Smart Factories Through …, (pp. 431-450). 2025
In today's rapidly evolving technological landscape, the Internet of Things and Industrial Internet of Things have emerged as pivotal forces driving innovation and efficiency across various industries over network. These interconnected technologies have revolutionized the way organizations...
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Advanced Epileptic Seizure Detection Model Using Adaptive Deep Learning Technique With Coordinate Attention-Based Feature Fusion Approach: A Proposal
Kumari, Neeraj; Kumar, Rajeev; Sharma, Ranjana - In: Advancing Cybersecurity in Smart Factories Through …, (pp. 451-464). 2025
Epileptic seizures are neurological disruptions that can severely impact an individual's quality of life if left undetected or misdiagnosed. Accurate and timely detection of seizures is crucial for effective intervention and management. This paper proposes an Advanced Epileptic Seizure Detection...
Persistent link: https://www.econbiz.de/10015535248
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