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商品描述
The book explores how modern technologies, including artificial intelligence and neural networks, are being used to enhance cybersecurity. In today's world, the development of the Internet is nothing short of transformative, affecting every aspect of our lives. Ensuring the safety of its users is a paramount concern, and it requires a diverse set of disciplines to address. Researchers from various fields, including IT, mathematics, psychology, and medicine, are collectively working to tackle this interdisciplinary challenge. The significance of this issue has been magnified by the COVID-19 pandemic, which forced many aspects of our lives into the digital realm, from online payments to remote work and education. This shift brought new security challenges, with data privacy and system integrity taking center stage. It delves into the intricacies of Big Data by having to analyze an immense volume of network traffic data that can only be effectively analyzed with specialized tools. Real-time threat detection is critical, and the book sheds light on cutting-edge approaches to achieving this goal. The content of the book covers a broad spectrum of topics related to IT system security, from user and system profiling to preventing data leaks and defending against phishing attacks. Additionally, innovative concepts such as "glial networks" are introduced, offering new ways to interpret knowledge stored in convolutional networks. These solutions are not limited to security alone; they have applications across various domains. The book highlights the advantages of these cutting-edge approaches over existing methods, demonstrating their relevance to large corporations, public institutions, schools, small businesses, and households. In a world where security threats are constantly evolving, this book is a valuable resource for understanding the dynamic landscape of network security and the role of artificial intelligence in safeguarding our digital ecosystems.
商品描述(中文翻譯)
這本書探討了現代科技,包括人工智慧和神經網絡,如何被用來增強網絡安全。在當今世界,互聯網的發展無疑是變革性的,影響著我們生活的每一個方面。確保用戶的安全是首要關切,這需要多種學科的共同努力來解決。來自資訊科技、數學、心理學和醫學等各個領域的研究人員正在共同應對這一跨學科的挑戰。隨著 COVID-19 疫情的爆發,這一問題的重要性愈加凸顯,因為疫情迫使我們生活的許多方面進入數位領域,從線上支付到遠程工作和教育。這一轉變帶來了新的安全挑戰,數據隱私和系統完整性成為焦點。書中深入探討了大數據的複雜性,必須分析大量的網絡流量數據,而這只能通過專業工具來有效分析。實時威脅檢測至關重要,書中闡明了實現這一目標的尖端方法。書的內容涵蓋了與資訊系統安全相關的廣泛主題,從用戶和系統的分析到防止數據洩漏和抵禦釣魚攻擊。此外,書中還介紹了“膠質網絡”等創新概念,提供了詮釋存儲在卷積網絡中的知識的新方法。這些解決方案不僅限於安全領域,還在各個領域中具有應用。書中強調了這些尖端方法相較於現有方法的優勢,展示了它們對大型企業、公共機構、學校、小型企業和家庭的相關性。在一個安全威脅不斷演變的世界中,這本書是理解網絡安全動態格局及人工智慧在保護我們數位生態系統中所扮演角色的寶貴資源。