Futuristic e-governance security with deep learning applications:
In today's rapidly advancing digital world, governments face the dual challenge of harnessing technology to enhance security systems while safeguarding sensitive data from cyber threats and privacy breaches. Futuristic e-Governance Security With Deep Learning Applications provides a timely and...
Gespeichert in:
| Weitere beteiligte Personen: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
|
| Schriftenreihe: | Advances in electronic government, digital divide, and regional development (AEGDDRD) book series
|
| Schlagwörter: | |
| Links: | https://doi.org/10.4018/978-1-6684-9596-4 https://doi.org/10.4018/978-1-6684-9596-4 https://doi.org/10.4018/978-1-6684-9596-4 https://doi.org/10.4018/978-1-6684-9596-4 |
| Zusammenfassung: | In today's rapidly advancing digital world, governments face the dual challenge of harnessing technology to enhance security systems while safeguarding sensitive data from cyber threats and privacy breaches. Futuristic e-Governance Security With Deep Learning Applications provides a timely and indispensable solution to these pressing concerns. This comprehensive book takes a global perspective, exploring the integration of intelligent systems with cybersecurity applications to protect deep learning models and ensure the secure functioning of e-governance systems.By delving into cutting-edge techniques and methodologies, this book equips scholars, researchers, and industry experts with the knowledge and tools needed to address the complex security challenges of the digital era. The authors shed light on the current state-of-the-art methods while also addressing future trends and challenges. Topics covered range from skill development and intelligence system tools to deep learning, machine learning, blockchain, IoT, and cloud computing. With its interdisciplinary approach and practical insights, this book serves as an invaluable resource for those seeking to navigate the intricate landscape of e-governance security, leveraging the power of deep learning applications to protect data and ensure the smooth operation of government systems. |
| Umfang: | 1 Online-Ressource (xv, 276 Seiten) Illustrationen |
| ISBN: | 9781668495988 |
| DOI: | 10.4018/978-1-6684-9596-4 |
Internformat
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| 520 | |a In today's rapidly advancing digital world, governments face the dual challenge of harnessing technology to enhance security systems while safeguarding sensitive data from cyber threats and privacy breaches. Futuristic e-Governance Security With Deep Learning Applications provides a timely and indispensable solution to these pressing concerns. This comprehensive book takes a global perspective, exploring the integration of intelligent systems with cybersecurity applications to protect deep learning models and ensure the secure functioning of e-governance systems.By delving into cutting-edge techniques and methodologies, this book equips scholars, researchers, and industry experts with the knowledge and tools needed to address the complex security challenges of the digital era. The authors shed light on the current state-of-the-art methods while also addressing future trends and challenges. Topics covered range from skill development and intelligence system tools to deep learning, machine learning, blockchain, IoT, and cloud computing. With its interdisciplinary approach and practical insights, this book serves as an invaluable resource for those seeking to navigate the intricate landscape of e-governance security, leveraging the power of deep learning applications to protect data and ensure the smooth operation of government systems. | ||
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| id | DE-604.BV049587027 |
| illustrated | Illustrated |
| indexdate | 2025-01-11T15:38:03Z |
| institution | BVB |
| isbn | 9781668495988 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034931801 |
| oclc_num | 1424561351 |
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| physical | 1 Online-Ressource (xv, 276 Seiten) Illustrationen |
| psigel | ZDB-98-IGB ZDB-98-IGB TUM_Paketkauf_2024 ZDB-98-IGB FHR_PDA_IGB |
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| publisher | IGI Global |
| record_format | marc |
| series2 | Advances in electronic government, digital divide, and regional development (AEGDDRD) book series |
| spellingShingle | Futuristic e-governance security with deep learning applications Artificial intelligence Public administration Technological innovations |
| title | Futuristic e-governance security with deep learning applications |
| title_auth | Futuristic e-governance security with deep learning applications |
| title_exact_search | Futuristic e-governance security with deep learning applications |
| title_full | Futuristic e-governance security with deep learning applications Rajeev Kumar, Abu Bakar Abdul Hamid, Noor Inayah Binti Ya'akub, Madhu Sharma Gaur, Sanjeev Kumar |
| title_fullStr | Futuristic e-governance security with deep learning applications Rajeev Kumar, Abu Bakar Abdul Hamid, Noor Inayah Binti Ya'akub, Madhu Sharma Gaur, Sanjeev Kumar |
| title_full_unstemmed | Futuristic e-governance security with deep learning applications Rajeev Kumar, Abu Bakar Abdul Hamid, Noor Inayah Binti Ya'akub, Madhu Sharma Gaur, Sanjeev Kumar |
| title_short | Futuristic e-governance security with deep learning applications |
| title_sort | futuristic e governance security with deep learning applications |
| topic | Artificial intelligence Public administration Technological innovations |
| topic_facet | Artificial intelligence Public administration Technological innovations |
| url | https://doi.org/10.4018/978-1-6684-9596-4 |
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