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My slides from E-Safety talk at the Impero Softeware 3.5 event at National Space Centre on the 3rd May 2012.
Protecting Children In The Classroom
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Council Rock School District is the 12th largest district in Pennsylvania. It includes 18 buildings, 5 municipalities, and 10 IT employees supporting over 13,000 users, including students and employees. For the security aspect of IT, Council Rock School District relies on a one-man team: Matthew J. Frederickson. Matthew is CISSP certi ed and has more than 25 years in IT. Being solely responsible for the security of over 13,000 users, Matthew has encountered many challenges and has had to adapt the way he approaches keeping Council Rock School District secure.
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My slides from E-Safety talk at the Impero Softeware 3.5 event at National Space Centre on the 3rd May 2012.
Protecting Children In The Classroom
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Russell Dyas
Council Rock School District is the 12th largest district in Pennsylvania. It includes 18 buildings, 5 municipalities, and 10 IT employees supporting over 13,000 users, including students and employees. For the security aspect of IT, Council Rock School District relies on a one-man team: Matthew J. Frederickson. Matthew is CISSP certi ed and has more than 25 years in IT. Being solely responsible for the security of over 13,000 users, Matthew has encountered many challenges and has had to adapt the way he approaches keeping Council Rock School District secure.
Council rock-school-case-study
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A keynote delivered at CIO PowerList, trying to discover, why everyone in a company wants to become a CIO now.
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Handwritten Signatures are the most common biometrics used for authentication. In this paper, it has been analyzed that the handwriting of male writers is more consistent than that of female writers. The analysis has been done on the handwritten signatures of male and female writers. For database, 100 handwritten signatures have been taken from female writers and 100 handwritten signatures have been taken from male writers i.e. from 10 male writers and 10 female writers, 10 signatures have been taken from each. Database has been created by taking signatures from writers time to time by different pens. It has been observed from experiments that intra personal variations in male writer’s signatures are less than that of female writer’s signatures.
Analysis of Male and Female Handwriting
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International Journal of Computer and Communication System Engineering
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Presentation slides from a presentation given by Michael Scheidell, CISO Security Privateers at South Florida Chapter ISSA meeting in 2012. Talks about the balance between business needs and information security and privacy needs. If you don't have good security and privacy your business will get hacked and cost you. If you don't have good business sense, you spend too much on security and lock your clients and users out. and that will cost you. See a whitepaper based on the presentation here: http://www.net-security.org/article.php?id=1868 Running with scissors.Up or down.
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Deep learning, a new class of AI (Artificial Intelligence) algorithms is making big promises to unlock an unprecedented level of intelligence from voluminous forms of structured and unstructured data produced from online data factories and internet-enabled smart devices. But despite the big hype about big data, deep learning and AI in general, less than half of the projects undertaking by companies looking to push the boundaries of analytics through data science fail to deliver the expected results according to a recent Gartner’s study. From our experience, a major factor in this failure is the myopic view of technology coupled with lack of understanding of what’s needed to build an ecosystem of analytics technology architecture, talent resources and systems of governance. We present a national e-health analytics transformation case study where we describe the recipe for how we envision analytics to be able to create the spin-off factor to reshape and revolutionize the industry landscape through our tested and proven framework of “Transform and Digitize”, Inform and Contextualize”, Embed and Institutionalize, “Innovate and Evangelize”. For organizations, large and small, to deepen their learning and win with analytics a holistic approach has to address all the underlying components across the full analytics value chain…. it’s a never-ending journey!
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Owasp8thdec
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About Me Northumbria
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Statistic
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Ethically mean? How?
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UPS-2010-0002?
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UPS-2010-0002?
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Voting System
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Questions?
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