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SwitchPoints is the inspiring story of how Canadian National Railway (CN) advanced from good to great in a few short years-becoming North America's top-performing railroad and a favorite with of corporate customers and investors. In it, the authors reveal how company-wide culture change propelled this aging transportation giant to become the profitable powerhouse it is today. Rich with insights and anecdotes, SwitchPoints offers lessons that can be applied to any organization seeking to improve the bottom line by improving their culture.

Canadian National Railways - History. --- Railroads - Canada - History. --- Railroads. --- Railroads --- Transportation Economics --- Business & Economics --- History --- History. --- Canadian National Railways --- Canadian National Rail --- Canadian National Route --- Chemin de fer national du Canada --- Chemins de fer nationaux du Canada --- CN --- CNR --- Canadian Government Railways --- Grand Trunk Pacific Railway Company --- Grand Trunk Railway Company of Canada --- Canadian National --- E-books

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Critical infrastructures are vital assets for public safety, economic welfare, and the national security of countries. The vulnerabilities of critical infrastructures have increased with the widespread use of information technologies. As Critical National Infrastructures are becoming more vulnerable to cyber-attacks, their protection becomes a significant issue for organizations as well as nations. The risks to continued operations, from failing to upgrade aging infrastructure or not meeting mandated regulatory regimes, are considered highly significant, given the demonstrable impact of such circumstances. Due to the rapid increase of sophisticated cyber threats targeting critical infrastructures with significant destructive effects, the cybersecurity of critical infrastructures has become an agenda item for academics, practitioners, and policy makers. A holistic view which covers technical, policy, human, and behavioural aspects is essential to handle cyber security of critical infrastructures effectively. Moreover, the ability to attribute crimes to criminals is a vital element of avoiding impunity in cyberspace. In this book, both research and practical aspects of cyber security considerations in critical infrastructures are presented. Aligned with the interdisciplinary nature of cyber security, authors from academia, government, and industry have contributed 13 chapters. The issues that are discussed and analysed include cybersecurity training, maturity assessment frameworks, malware analysis techniques, ransomware attacks, security solutions for industrial control systems, and privacy preservation methods.

Technology: general issues --- crypto-ransomware --- locker-ransomware --- static analysis --- dynamic analysis --- machine learning --- assessment framework --- cybersecurity --- GDPR --- PCI-DSS --- DSPT --- NISD --- cyber-ranges --- security training --- security modelling --- serious games --- dynamic adaptation --- training programmes --- computers in education --- bloom --- STRIDE --- smart shipping --- military --- VMF --- hash chain --- T-OTP --- lightweight secure hash (LSH) --- CNR --- web application --- security vulnerability --- analysis security testing --- static analysis security testing --- dynamic analysis security testing --- interactive analysis security testing --- assessment methodology --- false positive --- false negative --- tools combination --- deep learning --- image classification --- transfer learning --- industrial control system --- fine-tuning --- testbeds --- cyber ranges --- cyber exercises --- education --- training --- research --- lattice cryptography --- code cryptography --- post quantum cryptography --- physical unclonable function --- public key infrastructure --- high performance computing --- malware analysis --- static malware analysis --- dynamic malware analysis --- malware classification --- random forest --- support vector machines --- smart grid --- risk assessment --- threat modeling --- formal verification --- probabilistic model checking --- cloud robotics --- image face recognition --- deep learning algorithms --- security --- encryption algorithms --- cybercrime --- Hasse diagram --- interval-valued complex intuitionistic fuzzy relations --- interval-valued complex intuitionistic fuzzy sets --- offensive cybersecurity --- cyber-attacks --- scoring model --- offensive cybersecurity framework --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Critical infrastructures are vital assets for public safety, economic welfare, and the national security of countries. The vulnerabilities of critical infrastructures have increased with the widespread use of information technologies. As Critical National Infrastructures are becoming more vulnerable to cyber-attacks, their protection becomes a significant issue for organizations as well as nations. The risks to continued operations, from failing to upgrade aging infrastructure or not meeting mandated regulatory regimes, are considered highly significant, given the demonstrable impact of such circumstances. Due to the rapid increase of sophisticated cyber threats targeting critical infrastructures with significant destructive effects, the cybersecurity of critical infrastructures has become an agenda item for academics, practitioners, and policy makers. A holistic view which covers technical, policy, human, and behavioural aspects is essential to handle cyber security of critical infrastructures effectively. Moreover, the ability to attribute crimes to criminals is a vital element of avoiding impunity in cyberspace. In this book, both research and practical aspects of cyber security considerations in critical infrastructures are presented. Aligned with the interdisciplinary nature of cyber security, authors from academia, government, and industry have contributed 13 chapters. The issues that are discussed and analysed include cybersecurity training, maturity assessment frameworks, malware analysis techniques, ransomware attacks, security solutions for industrial control systems, and privacy preservation methods.

Technology: general issues --- crypto-ransomware --- locker-ransomware --- static analysis --- dynamic analysis --- machine learning --- assessment framework --- cybersecurity --- GDPR --- PCI-DSS --- DSPT --- NISD --- cyber-ranges --- security training --- security modelling --- serious games --- dynamic adaptation --- training programmes --- computers in education --- bloom --- STRIDE --- smart shipping --- military --- VMF --- hash chain --- T-OTP --- lightweight secure hash (LSH) --- CNR --- web application --- security vulnerability --- analysis security testing --- static analysis security testing --- dynamic analysis security testing --- interactive analysis security testing --- assessment methodology --- false positive --- false negative --- tools combination --- deep learning --- image classification --- transfer learning --- industrial control system --- fine-tuning --- testbeds --- cyber ranges --- cyber exercises --- education --- training --- research --- lattice cryptography --- code cryptography --- post quantum cryptography --- physical unclonable function --- public key infrastructure --- high performance computing --- malware analysis --- static malware analysis --- dynamic malware analysis --- malware classification --- random forest --- support vector machines --- smart grid --- risk assessment --- threat modeling --- formal verification --- probabilistic model checking --- cloud robotics --- image face recognition --- deep learning algorithms --- security --- encryption algorithms --- cybercrime --- Hasse diagram --- interval-valued complex intuitionistic fuzzy relations --- interval-valued complex intuitionistic fuzzy sets --- offensive cybersecurity --- cyber-attacks --- scoring model --- offensive cybersecurity framework