LEADER 05946nam 22005053 450 001 9911019705503321 005 20231121080239.0 010 $a9781394255504 010 $a1394255500 010 $a9781394255481 010 $a1394255489 035 $a(MiAaPQ)EBC30954497 035 $a(Au-PeEL)EBL30954497 035 $a(CKB)28887603800041 035 $a(Exl-AI)30954497 035 $a(OCoLC)1410592562 035 $a(EXLCZ)9928887603800041 100 $a20231121d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComplexities 1 $eVarious Approaches in the Field of Techno-Scientific Knowledge 205 $a1st ed. 210 1$aNewark :$cJohn Wiley & Sons, Incorporated,$d2024. 210 4$dİ2023. 215 $a1 online resource (188 pages) 311 08$aPrint version: Briffaut, Jean-Pierre Complexities 1 Newark : John Wiley & Sons, Incorporated,c2024 9781786308757 327 $aCover -- 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? -- 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 -- 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 -- 2.3. Reductionist biotechnologies? -- 2.3.1. From physics to biotechnology. 327 $a2.3.2. 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 -- 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 -- 4.8. The fourth paradigm -- 4.9. Modeling the complexity of cancer -- 4.10. References -- Chapter 5. Complexity or Complexities of Information: The Dimensions of Complexity -- 5.1. Introduction -- 5.2. A brief historical overview -- 5.3. The phenomenology of complexity in systems engineering -- 5.3.1. Measuring the complexity of an assembly through the integration process and tests -- 5.4. The four dimensions of complexity -- 5.5. The term "simplexity": A remark on Richard Feynman's Nobel lecture -- 5.6. Computational volume: Remarks on the first quantification of complexity -- 5.6.1. Quantifying interactions and functional dependencies -- 5.7. References -- List of Authors -- Index -- EULA. 330 $aThis book, 'Complexities 1: Various Approaches in the Field of Knowledge,' edited by Jean-Pierre Briffaut, explores diverse aspects of complexity in different domains. It delves into the intricacies of cybersecurity, examining theoretical and real-world challenges, such as advanced persistent threats and cognitive attacks. The book also investigates the historical and biological dimensions of complexity, discussing the evolution of thought on living systems and the role of complexity in biology. Additionally, it considers information and structural complexity, integrating mathematical and experimental insights to enhance understanding. The work aims to provide a comprehensive examination of complexity, targeting an audience of academics, researchers, and professionals interested in systems theory, cybersecurity, biology, and information science.$7Generated by AI. 606 $aComplexity (Philosophy)$7Generated by AI 606 $aSystem theory$7Generated by AI 615 0$aComplexity (Philosophy) 615 0$aSystem theory 676 $a501 700 $aBriffaut$b Jean-Pierre$0965167 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019705503321 996 $aComplexities 1$94417571 997 $aUNINA