Search results for "Offensive Security Using Python"
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Securing Democracies
Securing Democracies examines the attacks on voting processes and the broader informational environment in which elections take place. The volume's global cadre of scholars and practitioners highlight the interconnections among efforts to target vulnerable democratic systems and identify ways to prevent, defend against, and mitigate their effects on both the technical and the informational aspects of cybersecurity. The work takes a wider view of defending democracy by recognizing that both techniques—attacking infrastructure and using misinformation and disinformation—are means to undermine trust and confidence in democratic institutions. As such, the book proposes a wide range of policy responses to tackle these cyber-enabled threats focusing on the geopolitical front lines, namely Eastern Europe, the Middle East, and East Asia. This title is also available as open access on Cambridge Core.
R 5,120.76
AI Development and the ‘Fuzzy Logic' of Chinese Cyber Security and Data Laws
The book examines the extent to which Chinese cyber and network security laws and policies act as a constraint on the emergence of Chinese entrepreneurialism and innovation. Specifically, how the contradictions and tensions between data localisation laws (as part of Network Sovereignty policies) affect innovation in artificial intelligence (AI). The book surveys the globalised R&D networks, and how the increasing use of open-source platforms by leading Chinese AI firms during 2017–2020, exacerbated the apparent contradiction between Network Sovereignty and Chinese innovation. The drafting of the Cyber Security Law did not anticipate the changing nature of globalised AI innovation. It is argued that the deliberate deployment of what the book refers to as 'fuzzy logic' in drafting the Cyber Security Law allowed regulators to subsequently interpret key terms regarding data in that Law in a fluid and flexible fashion to benefit Chinese innovation.
R 1,783.35
AI Development and the ‘Fuzzy Logic' of Chinese Cyber Security and Data Laws
The book examines the extent to which Chinese cyber and network security laws and policies act as a constraint on the emergence of Chinese entrepreneurialism and innovation. Specifically, how the contradictions and tensions between data localisation laws (as part of Network Sovereignty policies) affect innovation in artificial intelligence (AI). The book surveys the globalised R&D networks, and how the increasing use of open-source platforms by leading Chinese AI firms during 2017–2020, exacerbated the apparent contradiction between Network Sovereignty and Chinese innovation. The drafting of the Cyber Security Law did not anticipate the changing nature of globalised AI innovation. It is argued that the deliberate deployment of what the book refers to as 'fuzzy logic' in drafting the Cyber Security Law allowed regulators to subsequently interpret key terms regarding data in that Law in a fluid and flexible fashion to benefit Chinese innovation.
R 5,338.50
