Information Security Science
Measuring the Vulnerability to Data Compromises

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Language: English
Cover of the book Information Security Science

Subjects for Information Security Science

Keywords

affiliation; antennae; attack anatomy; attack parameters; attackers; audible noise; audible signal detection; audible signal propagation; audible signal shielding; authentication; authorization; broadband signal detection; business practices; computer digital display interface; constructive and destructive interference; correlation measurements and metrics; data center; decibel; density; diffraction; electric field; electromagnetic fields; electromagnetic interference (EMI); electromagnetic pulse; electromagnetic shielding; electromagnetic threat; emanation security limit; emanations; exponential growth and decay; flux; flux generator; Fourier analysis; gain; grounding to reduce emanations; hypervisor; impact; information security policies; information technology implementation; information technology risk measurements; information technology standards; information theory; keyboard emanations; lenses; likelihood; linearity; logarithm; logistic growth; magnetic field; magnetic shielding; Markov models; Maxwell's equations; metrics; metrics criteria; modulation; nonlinearity; optical attacks; optical equipment; optics; organizational culture; parametric scaling; password resilience; physical security strategy; point sources of radiating energy; probability distributions; radiating circuits; resolution limit; resonance; risk; risk assessment; risk factors; risk factors for signal compromise; scale-free distribution; security governance; shot noise; signal attenuation; signal averaging; spatiotemporal risk measurements and metrics; technical surveillance countermeasures; telescopes; the Fourier transform; the NIST Cybersecurity Framework; the physical security of information assets; the probability of protection; thermal noise; threat; user behavior; vectors; Virtual Machine Manager (VMM); virtualization; visual information; vulnerability; wave energy and power; waves

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Information Security Science: Measuring the Vulnerability to Data Compromises provides the scientific background and analytic techniques to understand and measure the risk associated with information security threats. This is not a traditional IT security book since it includes methods of information compromise that are not typically addressed in textbooks or journals.

In particular, it explores the physical nature of information security risk, and in so doing exposes subtle, yet revealing, connections between information security, physical security, information technology, and information theory. This book is also a practical risk management guide, as it explains the fundamental scientific principles that are directly relevant to information security, specifies a structured methodology to evaluate a host of threats and attack vectors, identifies unique metrics that point to root causes of technology risk, and enables estimates of the effectiveness of risk mitigation.

This book is the definitive reference for scientists and engineers with no background in security, and is ideal for security analysts and practitioners who lack scientific training. Importantly, it provides security professionals with the tools to prioritize information security controls and thereby develop cost-effective risk management strategies.

Part I: Threats, risk and risk assessments

Chapter 1: Information Security Threats and Risk

Chapter 2: Modeling Information Security Risk

Part II: Scientific fundamentals

Chapter 3: Physics and Information Security

Chapter 4: Electromagnetic Waves

Chapter 5: Noise, Interference, and Emanations

Part III: The compromise of signals

Chapter 6: Signals and Information Security

Chapter 7: The Compromise of Electromagnetic Signals

Chapter 8: Countermeasures to Electromagnetic Signal Compromises

Chapter 9: Visual Information Security

Chapter 10: Audible Information Security

Part IV: Information technology risk

Chapter 11: Information Technology Risk Factors

Chapter 12: Information Technology Risk Measurements and Metrics

Chapter 13: Special Information Technology Risk Measurements and Metrics

Part V: The physical security of information assets

Chapter 14: Physical Security Controls

Chapter 15: Data Centers: A Concentration of Information Security Risk

Information Security professionals and students, Physical Security professionals and students

Carl S. Young is a recognized subject matter expert in information and physical security risk management. He is currently a Managing Director and the Chief Security Officer at Stroz Friedberg, an international security risk consulting firm. He is the former Global Head of Physical Security Technology at Goldman Sachs as well as a former Senior Executive and Supervisory Special Agent at the FBI. He was also a consultant to the JASON Defense Advisory Group. Mr. Young is the author of Metrics and Methods for Security Risk Management (Syngress, 2010), and The Science and Technology of Counterterrorism (Butterworth-Heinemann, 2014) as well as numerous journal publications. In 1997 he was awarded the President’s Foreign Intelligence Advisory Board (PFIAB) James R. Killian Award by the White House for significant individual contributions to U.S. national security. Mr. Young received undergraduate and graduate degrees in mathematics and physics from the Massachusetts Institute of Technology.
  • Specifies the analytic and scientific methods necessary to estimate the vulnerability to information loss for a spectrum of threats and attack vectors
  • Represents a unique treatment of the nexus between physical and information security that includes risk analyses of IT device emanations, visible information, audible information, physical information assets, and virtualized IT environments
  • Identifies metrics that point to the root cause of information technology risk and thereby assist security professionals in developing risk management strategies
  • Analyzes numerous threat scenarios and specifies countermeasures based on derived quantitative metrics
  • Provides chapter introductions and end-of-chapter summaries to enhance the reader’s experience and facilitate an appreciation for key concepts