LEADER 03074nam 2200577 450 001 996202092603316 005 20230213211638.0 010 $a0-470-72084-0 010 $a0-470-71854-4 035 $a(CKB)1000000000688041 035 $a(EBL)703923 035 $a(SSID)ssj0000715334 035 $a(PQKBManifestationID)11404019 035 $a(PQKBTitleCode)TC0000715334 035 $a(PQKBWorkID)10701300 035 $a(PQKB)11784530 035 $a(MiAaPQ)EBC703923 035 $a(EXLCZ)991000000000688041 100 $a20150107h19841984 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCell fusion /$fCiba Foundation 210 1$aLondon, England :$cPitman,$d1984. 210 4$dİ1984 215 $a1 online resource (304 p.) 225 1 $aCiba Foundation symposium ;$v103 300 $a"Symposiumon Cell fusion, held at the Ciba Foundation, London, 17-1 9 May 1983"--Contents. 311 $a0-470-66421-5 311 $a0-272-79750-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aCell fusion; Contents; Introduction; Lessons for the study of membrane fusion from membrane interactions in phospholipid systems; Discussion; Fusogenic mechanisms; Discussion; Non-bilayer structures in membrane fusion; Discussion; Electro-fusion of cells: principles and potential for the future; Discussion; Molecular aspects of sperm-egg fusion; Discussion; Myoblast fusion and inositol phospholipid breakdown: causal relationship or coincidence?; Discussion; Plant-animal cell fusions; Discussion 327 $aTransfer of plasma membrane proteins between cells using reconstituted membrane vesicles as shuttle vehiclesDiscussion; Insertion of EGF receptors into target cells in the absence of fusogenic agents; Discussion; The use of specific antibodies to mediate fusion between Sendai virus envelopes and living cells; Discussion; What determines the degradation rate of an injected protein?; Discussion; Degradative fate of transplanted proteins; Discussion; Expression of mRNAs microinjected into somatic cells; Discussion 327 $aImmunospecific vesicle targeting facilitates fusion with selected cell populationsDiscussion; Liposomes for gene transfer and expression in vivo; Discussion; Final general discussion; Comments on the status of the bilayer concept of biomembranes; Mode of action of polyethylene glycol; Microinjection and protein degradation studies; Mechanism of cell fusion by viruses; Physiological cell fusion; Index of contributors; Subject index 410 0$aNovartis Foundation symposium ;$v103. 606 $aCell differentiation 606 $aCell hybridization 606 $aCytogenetics 615 0$aCell differentiation. 615 0$aCell hybridization. 615 0$aCytogenetics. 676 $a574.876 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996202092603316 996 $aCell fusion$91015095 997 $aUNISA LEADER 04350nam 22006615 450 001 9911046543403321 005 20251001130541.0 010 $a981-9506-15-8 024 7 $a10.1007/978-981-95-0615-6 035 $a(CKB)41521071100041 035 $a(MiAaPQ)EBC32323277 035 $a(Au-PeEL)EBL32323277 035 $a(DE-He213)978-981-95-0615-6 035 $a(OCoLC)1547928231 035 $a(EXLCZ)9941521071100041 100 $a20251001d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMoving Target Defense Based on Artificial Intelligence /$fby Tao Zhang, Xiangyun Tang, Jiawen Kang, Changqiao Xu 205 $a1st ed. 2026. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2026. 215 $a1 online resource (164 pages) 225 1 $aSpringerBriefs in Computer Science,$x2191-5776 311 08$a981-9506-14-X 327 $aChapter 1 Introduction of Moving Target Defense -- Chapter 2 Host Address Mutation based on Advantage Actor-Critic Approach -- Chapter 3 Service Function Chain Migration based on Proximal Policy Optimization Approach -- Chapter 4 Collaborative Mutation-based Moving Target Defense based on Hierarchical Reinforcement Learning -- Chapter 5 Roadside Units Configuration Mutation based on Proximal Policy Optimization Approach -- Chapter 6 Route Mutation based on Multiagent Reinforcement Learning -- Chapter 7: Secure and Trusted Collaborative Learning based on Blockchain -- Chapter 8 Summary and Future Research Directions. 330 $aMoving Target Defense (MTD) has been proposed as an innovative defense framework, which aims to introduce the dynamics, diversity and randomization into static network by the shuffling, heterogeneity and redundancy. It is born to solve the problem that traditional security solutions respond and defend against security threats after attacks occurrence, which will lead to the defender always having disadvantages in attack-defense confrontation. This book explores the challenges and solutions related to moving target defense in the cloud-edge-terminal networks. This book fills this gap by providing a comprehensive and detailed approach to designing intelligent MTD frameworks for cloud-edge-terminal networks. It is essential reading for researchers and professionals in network security and artificial intelligence who seek innovative defense solutions. The book is organized into 6 chapters, each addressing a key area of MTD and its integration with Artificial Intelligence. Chapter 1 introduces the fundamental concepts of MTD, security challenges in cloud-edge-terminal networks, and the role of artificial intelligence in enhancing MTD. Chapter 2 delves into host address mutation based on advantage actor-critic approach. Chapter 3 proposes a collaborative mutation-based MTD based on hierarchical reinforcement learning. Chapter 4 presents roadside units configuration mutation based on proximal policy optimization approach. Chapter 5 explores route mutation based on multiagent reinforcement learning. Chapter 6 provides a summary of insights and lessons learned throughout the book and outlines future research directions in MTD. 410 0$aSpringerBriefs in Computer Science,$x2191-5776 606 $aComputer networks$xSecurity measures 606 $aData protection 606 $aComputer networks 606 $aCloud computing 606 $aMobile and Network Security 606 $aSecurity Services 606 $aComputer Communication Networks 606 $aCloud Computing 615 0$aComputer networks$xSecurity measures. 615 0$aData protection. 615 0$aComputer networks. 615 0$aCloud computing. 615 14$aMobile and Network Security. 615 24$aSecurity Services. 615 24$aComputer Communication Networks. 615 24$aCloud Computing. 676 $a005.8 700 $aZhang$b Tao$01272789 701 $aTang$b Xiangyun$01769175 701 $aKang$b Jiawen$01862484 701 $aXu$b Changqiao$01862485 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911046543403321 996 $aMoving Target Defense Based on Artificial Intelligence$94468766 997 $aUNINA