作者: GET 時(shí)間: 2025-3-21 21:33 作者: BLAZE 時(shí)間: 2025-3-22 03:37 作者: IRK 時(shí)間: 2025-3-22 06:08
https://doi.org/10.1007/978-3-658-16843-8ces for information sharing and cooperative event processing. For each scenario we present a theoretical description of the attack as well as implementation details and consequences of past attacks carried out against real financial institutions.作者: Pericarditis 時(shí)間: 2025-3-22 12:38
Sexueller Missbrauch in der DDRe SR Management layer, which includes components to control the SR lifecycle and deployment, inter-SR connectivity, and the contract compliance monitoring. The proposed architecture is modular and flexible, allowing the developers to easily create and customize the processing logic according to the 作者: 完成才會(huì)征服 時(shí)間: 2025-3-22 12:54 作者: 完成才會(huì)征服 時(shí)間: 2025-3-22 18:50
https://doi.org/10.1007/978-3-531-93353-5his chapter we present a distributed SR architecture which is capable of correlating events coming from SR members while preserving the privacy of sensitive data items. The SR consists of SR Gateways deployed at each financial institution and a set of private clouds forming the SR collaborative proc作者: 松雞 時(shí)間: 2025-3-22 22:24
https://doi.org/10.1007/978-3-531-93353-5 achieve a higher detection accuracy with a smaller number of SR members compared to R-SYN, and to exhibit better detection latencies than R-SYN in the presence of low link bandwidths (i.e., less than 3?Mbit/s) connecting the SR members to the Esper engine deployed by the SR administrator.作者: Inflated 時(shí)間: 2025-3-23 01:26
https://doi.org/10.1007/978-3-531-93353-5 stealthy inter-domain port scanning, and a botnet-driven HTTP session hijacking attack. We evaluate the performance of Agilis in both these scenarios and, in the case of inter-domain port scanning, compare it to Semantic Room, which deploys the centralized high-end event processing system called Es作者: 鳥籠 時(shí)間: 2025-3-23 09:06 作者: acheon 時(shí)間: 2025-3-23 12:02
Modeling and Risk Analysis of Information Sharing in the Financial Infrastructureation speeds responses at other institutions, reducing their probability of initial compromise. Information sharing participation carries with it costs which must be balanced by direct expected gain or subsidized in order for a critical number of banks to agree to share information and to discourage作者: 不幸的人 時(shí)間: 2025-3-23 14:04 作者: tangle 時(shí)間: 2025-3-23 18:02
CoMiFin Architecture and Semantic Roomse SR Management layer, which includes components to control the SR lifecycle and deployment, inter-SR connectivity, and the contract compliance monitoring. The proposed architecture is modular and flexible, allowing the developers to easily create and customize the processing logic according to the 作者: Sciatica 時(shí)間: 2025-3-23 22:52
Monitoring and Evaluation of Semantic Roomsd (b)?processes those metrics to detect violations of the SR contract. The monitoring architecture is model-driven so that changes in the resources or the system objectives can be automatically mapped to monitoring assets. It is implemented in a plugin-based fashion, which enables the flexible exten作者: 增減字母法 時(shí)間: 2025-3-24 03:52 作者: 項(xiàng)目 時(shí)間: 2025-3-24 08:00
Collaborative Inter-domain Stealthy Port Scan Detection Using Esper Complex Event Processing achieve a higher detection accuracy with a smaller number of SR members compared to R-SYN, and to exhibit better detection latencies than R-SYN in the presence of low link bandwidths (i.e., less than 3?Mbit/s) connecting the SR members to the Esper engine deployed by the SR administrator.作者: 腫塊 時(shí)間: 2025-3-24 12:14
Distributed Attack Detection Using Agilis stealthy inter-domain port scanning, and a botnet-driven HTTP session hijacking attack. We evaluate the performance of Agilis in both these scenarios and, in the case of inter-domain port scanning, compare it to Semantic Room, which deploys the centralized high-end event processing system called Es作者: Incisor 時(shí)間: 2025-3-24 18:07
Collaborative Attack Detection Using Distributed Hash Tables against financial institutions. We focus on the detection of Man-in-the-Middle attacks to demonstrate the effectiveness of our proposal. Finally, we highlight the main advantages of the proposed architecture with respect to traditional (centralized and hierarchical) solutions for intrusion detectio作者: 整體 時(shí)間: 2025-3-24 21:29 作者: 變形 時(shí)間: 2025-3-24 23:17 作者: ALOFT 時(shí)間: 2025-3-25 05:22
Sexualisierte jugendliche Netzkulturen?he financial one, has been pointed out in eight added values, and examples of how poor information sharing results in sector-specific vulnerabilities are discussed. Finally some examples of information sharing methodologies are analyzed.作者: Heretical 時(shí)間: 2025-3-25 09:24
The Financial Critical Infrastructure and the Value of Information Sharinghe financial one, has been pointed out in eight added values, and examples of how poor information sharing results in sector-specific vulnerabilities are discussed. Finally some examples of information sharing methodologies are analyzed.作者: Conjuction 時(shí)間: 2025-3-25 14:05
The Financial Critical Infrastructure and the Value of Information Sharingal infrastructure of our society and, due to the continuously increasing penetration of the Internet world inside this infrastructure, it has to be protected from cyber attacks. This chapter introduces the main actors forming the financial system and their relationships and analyzes the system’s vul作者: 過時(shí) 時(shí)間: 2025-3-25 16:05
Modeling and Risk Analysis of Information Sharing in the Financial Infrastructure policy to protect the community against cyber attacks. We develop a model of interacting banks that have networks of business relations with a possible overlay network of shared information for cyber security. If a bank suffers a cyber attack, it incurs losses, and there is some probability that it作者: Incorporate 時(shí)間: 2025-3-25 21:45
Cyber Attacks on Financial Critical Infrastructuresw and a classification of the different kinds of frauds and attacks carried out against financial institutions and their IT infrastructures. We then restrict our focus by analyzing in detail five attack scenarios, selected among the ones presented in the previous section. These attack scenarios are:作者: 不透明 時(shí)間: 2025-3-26 01:52
CoMiFin Architecture and Semantic Rooms (CI). At the core of CoMiFin is a new abstraction of . (.), allowing the interested participants to share information and combine their computing powers to collectively resist massive scale attacks against their IT and business assets. We describe a full stack of software components aiming at reali作者: CHOIR 時(shí)間: 2025-3-26 05:32 作者: hemoglobin 時(shí)間: 2025-3-26 10:15
Trust and Privacyuate the achieved level of trust, a trust evaluation system is described. This system assesses the quality of information based on past behaviour, direct experience, recommendation, referral, and roles. This management process filters and prioritises information provided by Semantic Room (SR) member作者: PACK 時(shí)間: 2025-3-26 15:10
Collaborative Inter-domain Stealthy Port Scan Detection Using Esper Complex Event Processingder to effectively detect inter-domain malicious port scan activities. The Esper engine is deployed by the SR administrator and correlates a massive amount of network traffic data exhibiting the evidence of distributed port scans. The chapter presents two inter-domain SYN scan detection algorithms t作者: 卵石 時(shí)間: 2025-3-26 16:51 作者: 印第安人 時(shí)間: 2025-3-26 22:17
Collaborative Attack Detection Using Distributed Hash Tables (DHTs). We present a high-level description of the distributed architecture for collaborative attack detection. In particular, we highlight the two main functional blocks: the collaboration layer, realized through a DHT, and the engine for complex event processing. We then describe the implementati作者: 廣告 時(shí)間: 2025-3-27 03:24 作者: Obsessed 時(shí)間: 2025-3-27 05:43 作者: 制造 時(shí)間: 2025-3-27 12:52
https://doi.org/10.1007/978-3-642-20420-3cyber attacks; distributed systems; event-based systems; financial systems; middleware; privacy; security; 作者: Acupressure 時(shí)間: 2025-3-27 15:48
978-3-642-43681-9Springer-Verlag Berlin Heidelberg 2012作者: Detoxification 時(shí)間: 2025-3-27 20:46
Sexualisierte jugendliche Netzkulturen?al infrastructure of our society and, due to the continuously increasing penetration of the Internet world inside this infrastructure, it has to be protected from cyber attacks. This chapter introduces the main actors forming the financial system and their relationships and analyzes the system’s vul作者: 王得到 時(shí)間: 2025-3-28 01:23
Schlussfolgerungen und Ausblick, policy to protect the community against cyber attacks. We develop a model of interacting banks that have networks of business relations with a possible overlay network of shared information for cyber security. If a bank suffers a cyber attack, it incurs losses, and there is some probability that it作者: GENRE 時(shí)間: 2025-3-28 04:03
https://doi.org/10.1007/978-3-658-16843-8w and a classification of the different kinds of frauds and attacks carried out against financial institutions and their IT infrastructures. We then restrict our focus by analyzing in detail five attack scenarios, selected among the ones presented in the previous section. These attack scenarios are:作者: 健談的人 時(shí)間: 2025-3-28 09:26 作者: anaerobic 時(shí)間: 2025-3-28 12:52
Sexueller Missbrauch in der DDRsing activities performed within SRs. SR event processing requires the ability to allocate and manage online the resources that are necessary for the processing itself, and for meeting the SR business level objectives. These objectives are usually specified in the SR contracts as service level agree作者: CHURL 時(shí)間: 2025-3-28 15:57
https://doi.org/10.1007/978-3-531-93353-5uate the achieved level of trust, a trust evaluation system is described. This system assesses the quality of information based on past behaviour, direct experience, recommendation, referral, and roles. This management process filters and prioritises information provided by Semantic Room (SR) member作者: Autobiography 時(shí)間: 2025-3-28 20:35 作者: Ordeal 時(shí)間: 2025-3-29 02:12
https://doi.org/10.1007/978-3-531-93353-5g event data generated in real time by multiple widely distributed sources. Agilis aims to balance simplicity of use and robustness on the one hand, and scalable performance in large-scale settings on the other. To this end, Agilis is built upon the open source Hadoop’s MapReduce infrastructure augm
