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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 林永松 | |
| dc.contributor.author | Chi-Hsiang Chan | en |
| dc.contributor.author | 詹棨翔 | zh_TW |
| dc.date.accessioned | 2021-06-16T17:18:59Z | - |
| dc.date.available | 2014-08-20 | |
| dc.date.copyright | 2012-08-20 | |
| dc.date.issued | 2012 | |
| dc.date.submitted | 2012-08-16 | |
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Jones, “Adaptive Use of Network-Centric Mechanisms in Cyber-Defense,” Proceedings of the Sixth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing, pp. 183-192, May 2003. [19] 'Intrusion Detection Systems Definition, Need and Challenges,' SANS Institute Technical report, 2001. [20] K. Scarfone and P. Mell, 'Guide to Intrusion Detection and Prevention Systems (IDPS),' NIST Interagency/Internal Report (NISTIR) - 800-94, 2007. [21] M. Laureano, C. Maziero and E. Jamhou, 'Intrusion Detection in Virtual Machine Environments,' the Proceedings of the 30th EUROMICRO Conference, 2004. [22] VMware. VMware vShieldTM Product Family. Available: http://www.vmware.com/products/vshield/ [23] T. Micro. Trend Micro Deep Security. Available: http://tw.trendmicro.com/tw/products/enterprise/deep-security/index.html [24] P. Mell and T. Grance, “The NIST Definition of Cloud Computing,” NIST Special Publication 800-145, September 2011. 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Nagaraja and R. Anderson, “Dynamic Topologies for Robust Scale-Free Networks,” Bio-inspired Computing and Communication, pp. 411-426, 2008. [34] J. Blitzstein and P. Diaconis, “A Seuential Improtance Sampling Algorihm for Generating Random Graphs with Prescribed Drgrees,” Internet Mathematics, Vol. 6, No. 4, pp. 489-522, March 2011. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63781 | - |
| dc.description.abstract | 雲端運算使用了虛擬化和網路技術。這個最近熱門的議題，讓使用者和組織可以去除地理上的限制在任何時間、地點存取所需的應用服務。這個方便的技術帶來了許多的利益但也造成了資訊安全上的複雜度提高。
在本論文中，我們利用數學模型描述一個網路攻防情境，並且配合模擬和數學規劃法解決雙層問題。由於攻防策略的多變性造成情境具高複雜度且不可預期，因此透過模擬評估平均的網路存活度，接著使用了模試圖最佳化攻擊方的策略，攻擊方將試著最大化服務被攻克率而防禦方則希望最小化被攻擊者最大化之服務被攻克率。 在我們考量的攻防情境中，攻擊方會採用協同攻擊策略，此種策略可帶給攻擊方更多的優勢。另一方面，防禦者在考量有限的資源預算和合法使用者的服務品質下，決定適合的策略以保護服務，防禦策略包含佈置即時防禦機制，如：動態網路拓樸調整、區域防禦以及雲端安全服務，另外也利用了虛擬化技術建置網路拓樸。 | zh_TW |
| dc.description.abstract | Recently, Cloud computing which base on virtualization and network technology becomes a popular issue. Through the novel model it provides, users and organizations can decrease the cost on resources and access the applications without geographic limit. The convenient technologies bring a lot of profits but also raise the complexity of information security.
In this thesis, we model the network attack and defense scenario as a mathematical formulation and solve the bi-level problem through simulation and mathematical programming. Because of the complexity and non-deterministic characteristic of both attack and defense strategies, we adopt simulation to evaluate the average network survivability. Furthermore, several methods are used to help us discover the optimal strategies. The attack commander tries to maximize the service compromise probabilities and the defender has to minimize the maximized probabilities. As for the attack and defense scenario, collaborative attack is considered. This kind of attack is advantageous to the commanders. On the other hand, the defender must decide the appropriate strategies under budget and predefined quality of service constraints, which including deploying various reactive defense mechanisms such as dynamic topology reconfiguration, local defense function, and cloud security service to protect the system. The Virtualization technology is also considered as a strategy for constructing the topology. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T17:18:59Z (GMT). No. of bitstreams: 1 ntu-101-R99725049-1.pdf: 1836978 bytes, checksum: 59c62ce437fb4d1835ebd78b598e3711 (MD5) Previous issue date: 2012 | en |
| dc.description.tableofcontents | 論文摘要 ………………………………………………………………………………………………………………………………………….I
THESIS ABSTRACT III TABLE OF CONTENTS V LIST OF TABLES VII LIST OF FIGURES IX CHAPTER 1 INTRODUCTION 1 1.1 BACKGROUND 1 1.2 MOTIVATION 7 1.3 LITERATURE SURVEY 9 1.3.1 Survivability 9 1.3.2 Collaborative Attack 11 1.3.3 Dynamic Topology Reconfiguration 12 1.3.4 Intrusion Detection and Prevention System 13 1.3.5 Security as a Service in Cloud computing 14 1.4 PROPOSED APPROACH 15 1.5 THESIS ORGANIZATION 16 CHAPTER 2 PROBLEM FORMULATION 17 2.1 PROBLEM DESCRIPTION 17 2.1.1 Commander Perspective 19 2.1.2 Defender Perspective 22 2.2 ATTACK AND DEFENSE SCENARIO 26 2.3 PROBLEM FORMULATION 38 CHAPTER 3 SOLUTION APPROACH 45 3.1 MATHEMATICAL PROGRAMMING 45 3.2 MONTE CARLO SIMULATION 46 3.3 ENHANCEMENT PROCEDURE BASED ON INFORMATION COLLECTED DURING SIMULATION 47 3.3.1 Evaluation Process 47 3.3.2 Policy Enhancement 50 3.4 INITIAL ALLOCATION SCHEME 54 3.4.1 Topology Generation 54 3.4.2 Proactive Defense Resource Allocation 54 3.4.3 Reactive Defense Resource Allocation 55 CHAPTER 4 COMPUTATIONAL SIMULATIONS 57 4.1 SIMULATION ENVIRONMENT 57 4.2 SIMULATION RESULT 59 4.2.1 Evaluation Times 59 4.2.2 Robustness Experiment 61 4.2.3 Enhancement 62 CHAPTER 5 CONCLUSION AND FUTURE WORK 65 REFERENCES 67 | |
| dc.language.iso | en | |
| dc.subject | 網路存活度 | zh_TW |
| dc.subject | 雲端運算 | zh_TW |
| dc.subject | 協同攻擊 | zh_TW |
| dc.subject | 虛擬化 | zh_TW |
| dc.subject | 資源配置 | zh_TW |
| dc.subject | 模擬 | zh_TW |
| dc.subject | 數學規劃法 | zh_TW |
| dc.subject | Virtualization | en |
| dc.subject | Network Survivability | en |
| dc.subject | Mathematical Programming | en |
| dc.subject | Simulation | en |
| dc.subject | Cloud Computing | en |
| dc.subject | Collaborative Attack | en |
| dc.subject | Resource Allocation | en |
| dc.title | 考量惡意合作攻擊下最小化服務被攻克率之有效網路建置與防禦策略 | zh_TW |
| dc.title | Effective Network Planning and Defending Strategies to Minimize Service Compromise Probabilities under Malicious Collaborative Attacks | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 100-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 呂俊賢,莊東穎,傅新彬,鍾順平 | |
| dc.subject.keyword | 協同攻擊,網路存活度,數學規劃法,模擬,雲端運算,虛擬化,資源配置, | zh_TW |
| dc.subject.keyword | Collaborative Attack,Network Survivability,Mathematical Programming,Simulation,Cloud Computing,Virtualization,Resource Allocation, | en |
| dc.relation.page | 69 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2012-08-17 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
| 顯示於系所單位： | 資訊管理學系 | |
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