Description |
1 online resource (188 p.) |
Contents |
Cover -- Title Page -- Copyright Page -- Contents -- Foreword: Sharing Complexity: An Acclaim for Complex Thinking -- Preface -- Chapter 1. The Complexity of Cybersecurity -- 1.1. Formal approach to the complexity of cybersecurity -- 1.1.1. Cybersecurity and theoretical computing -- 1.1.2. Malware and computer virology -- 1.1.3 Cyber-risk -- 1.1.4. Cognitive attacks and immersive fictitious data architectures -- 1.2. Cybersecurity in real life: Advanced persistent threats, computer networks, defense teams and complex log data -- 1.2.1. What is an APT? |
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1.2.2. What is the network that companies need to protect? Who protects it? Why are "Situational Crime Prevention" (SCP) systems complex systems? -- 1.2.3. What kind of anomalies need to be raised in order to detect a multi-stage APT attack? -- 1.3. User and entity behavior analysis as a way of reducing complexity -- 1.3.1. Presentation of the method -- 1.3.2. Data used and details of the method -- 1.3.3. Visual results and interpretation -- 1.4. Conclusion and future work -- 1.5. References -- Chapter 2. Complexity and Biology: When Historical Perspectives Intersect with Epistemological Analyses |
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2.1. Complexity throughout the history of thoughs on living -- 2.1.1. The roots of thinking on complexity -- 2.1.2. From machinules to cells: An ordered complexity? -- 2.1.3. The organism: An autonomous complexity -- 2.1.4. The emergence of complexity between comparative anatomy and embryology -- 2.2. The living: Between potentialities and actualizations -- 2.2.1. Teratology to better understand the links between actualization and potentiality in the living -- 2.2.2. Time, a key concept for understanding the interactions between the possible and the actualized |
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2.3. Reductionist biotechnologies? -- 2.3.1. From physics to biotechnology -- 2.3.2. When the living extend beyond the experimental framework -- 2.4. References -- Chapter 3. Two Complexities: Information and Structure Content -- 3.1. The simple, the random and the structured: A triangle of concepts key to a complete understanding -- 3.2. Calculation, the key to the solution -- 3.3. Thought experiment -- 3.4. Mathematical definition -- 3.5. Random complexity and structural complexity -- 3.6. Recent progress -- 3.7. Less undecidability -- 3.8. Experimentation -- 3.9. Appendices |
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3.9.1. Complexification -- 3.9.2. Random and structural complexity -- 3.9.3. Incalculable but approximate -- 3.9.4. The law of slow growth -- 3.9.5. Experimental evaluation of K(s) and P(s) -- 3.10. References -- Chapter 4. Leveraging Complexity in Oncology -- A Data Narrative -- 4.1. Large collaborative research initiatives -- the Human Genome Project -- 4.2. Human cell atlas -- unraveling complexity -- 4.3. From bench to bedside -- 4.4. The battle with cancer -- 4.5. Health economics -- cost is another matter -- 4.6. From molecules to medicine -- 4.7. Artificial intelligence |
Notes |
Description based upon print version of record |
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4.8. The fourth paradigm |
Form |
Electronic book
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ISBN |
9781394255481 |
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1394255489 |
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