Security Technology Convergence Insights
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Security Technology Convergence Insights
Security technology convergence, which refers to the incorporation of computing, networking, and communications technologies into electronic physical security systems, was first introduced in the 1970s with the advent of computer-based access control and alarm systems. As the pace of information technology (IT) advances continued to accelerate, the physical security industry continued to lag behind IT advances by at least two to three years. Security Technology Convergence Insights explores this sometimes problematic convergence of physical security technology and information technology and its impact on security departments, IT departments, vendors, and management. - Includes material culled directly from author's column in Security Technology Executive - Easy-to-read question and answer format - Includes real-world examples to enhance key lessons learned
Security Leader Insights for Information Protection
How do you, as a busy security executive or manager, stay current with evolving issues, familiarize yourself with the successful practices of your peers, and transfer this information to build a knowledgeable, skilled workforce the times now demand? With Security Leader Insights for Information Protection, a collection of timeless leadership best practices featuring insights from some of the nation's most successful security practitioners, you can. This book can be used as a quick and effective resource to bring your security staff up to speed on security's role in information protection. Instead of re-inventing the wheel when faced with a new challenge, these proven practices and principles will allow you to execute with confidence knowing that your peers have done so with success. It includes chapters on the collaboration between corporate and information security, emerging issues in information protection, and information protection regulations and standards. Security Leader Insights for Information Protection is a part of Elsevier's Security Executive Council Risk Management Portfolio, a collection of real world solutions and "how-to" guidelines that equip executives, practitioners, and educators with proven information for successful security and risk management programs. - Each chapter can be read in five minutes or less, and is written by or contains insights from experienced security leaders. - Can be used to find illustrations and examples you can use to deal with a relevant issue. - Brings together the diverse experiences of proven security leaders in one easy-to-read resource.
Intelligent Data-Driven Techniques for Security of Digital Assets
The book covers the role of emerging technologies such as blockchain technology, machine learning, IoT, cryptography, etc., in digital asset management. It further discusses digital asset management applications in different domains such as healthcare, travel industry, image processing, and our daily life activities to maintain privacy and confidentiality. This book: • Discusses techniques for securing and protecting digital assets in collaborative environments, where multiple organizations need access to the same resources. • Explores how artificial intelligence can be used to automate the management of digital assets, and how it can be used to improve security and privacy. • Explains the role of emerging technology such as blockchain technology for transforming conventional business models. • Highlights the importance of machine learning techniques in maintaining the privacy and security of data. • Covers encryption and decryption techniques, their advantages and role in improving the privacy of data. The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, information technology, and business management.