Cloud intrusion detection model inspired by dendritic

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This document discusses a cloud intrusion detection model inspired by the dendritic cell mechanism. It begins with an introduction discussing the need for cloud protection and examples of past cloud attacks. It then discusses related work on cloud IDS models before describing the proposed dendritic cell mechanism, cloud IDS algorithm, and model. The model is tested using an experiment network and future work is proposed to test the model with real cloud data and environments.

Technologie

Cloud Intrusion Detection Model Inspired
by Dendritic Cell Mechanism
Azuan Bin Ahmad
Prof. Dr. Norbik Bashah Idris
Dr. Mohd Nazri Kama

Outline
• Introduction
• Related Works
• Dendritic Cell Mechanism
• Cloud IDS Algorithm
• Cloud IDS Model
• Cloud IDS Experiment Network
• Future Works
• Conclusion

Introduction
80%
Malaysian
Firm Faced Cyber
Attacks
2015[1]
Hacked
in
2012[2]

Sony Attack Incident 2011
Sony
Playstation
Network
Amazon
EC2
Cloud
Compromised more than
100 million
customer accounts

Why Cloud Need Protection?
Distributed
And Nested A
Lot of
Information[1]
One
Target
for All
Publicly
Available
Target of
Distributed
Attack
No
Dedicated
IDS for
Cloud[2]

Current Cloud IDS Implementation
Need a
lot of
Self-
maintenance[3]
Different
types of
IDS
installed in
each
Cloud
Inter-VM
Attacks
will be
invisible
Network
Congestion

Related Works
• Cloud IDS model based on Virtual Machine Monitor
[6]
– U. Tupakula, V. Varadharajan, and N. Akku
– Works only on signature based IDS
• Software as a Service IDS[7]
– G. Nascimento and M. Correia
– Focus on SaaS Cloud Environment
– Didn’t use standard dataset for comparison
• Grid and Cloud Computing Intrusion Detection System
(GCCIDS)[8]
– K. Vieira, A. Schulter, C. Westphall, and C. Westphall
– IDS management is not centralize.

Cloud IDS Model
Hybrid IDS
Methdology
Centralize
IDS
management
Virtually
Mirrored
Network
Monitoring
Artificial
Immune
System Real
Implementation

Dendritic Cell Mechanism
• Dendritic cells (DC) collects and present
antigens to the adaptive immune system
for processing.
• Monitoring the PAMP, Safe and Danger
signal of the environment.
• Exist within three states
– Immature
– Semi-mature
– Mature

Cloud IDS Algorithm
Figure 1: Cloud IDS Algorithm

Cloud IDS model
Figure 2: Cloud IDS Model

Implementation
Figure 3: Cloud IDS Model Experiment Network

Future Works
• Testing the Cloud IDS model with real
Cloud data and environment.
• Applying different machine learning
mechanism in analysing and improving
Cloud IDS result.

Conclusion
• Dendritic Cell is known for detecting and
killing any pathogens that infected human
tissue and cells.
• The successful of Dendritic Cell in
protecting human body will also bring a
success in protecting Cloud environment if
the same mechanism are being
implemented in the real world applications.

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What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

HampshireHUG

In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

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Axa Assurance Maroc - Insurer Innovation Award 2024

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

Cloud intrusion detection model inspired by dendritic

1. Cloud Intrusion Detection Model Inspired by Dendritic Cell Mechanism Azuan Bin Ahmad Prof. Dr. Norbik Bashah Idris Dr. Mohd Nazri Kama

2. Outline • Introduction • Related Works • Dendritic Cell Mechanism • Cloud IDS Algorithm • Cloud IDS Model • Cloud IDS Experiment Network • Future Works • Conclusion

3. Introduction 80% Malaysian Firm Faced Cyber Attacks 2015[1] Hacked in 2012[2]

4. Sony Attack Incident 2011 Sony Playstation Network Amazon EC2 Cloud Compromised more than 100 million customer accounts

5. Why Cloud Need Protection? Distributed And Nested A Lot of Information[1] One Target for All Publicly Available Target of Distributed Attack No Dedicated IDS for Cloud[2]

6. Current Cloud IDS Implementation Need a lot of Self- maintenance[3] Different types of IDS installed in each Cloud Inter-VM Attacks will be invisible Network Congestion

7. Related Works • Cloud IDS model based on Virtual Machine Monitor [6] – U. Tupakula, V. Varadharajan, and N. Akku – Works only on signature based IDS • Software as a Service IDS[7] – G. Nascimento and M. Correia – Focus on SaaS Cloud Environment – Didn’t use standard dataset for comparison • Grid and Cloud Computing Intrusion Detection System (GCCIDS)[8] – K. Vieira, A. Schulter, C. Westphall, and C. Westphall – IDS management is not centralize.

8. Cloud IDS Model Hybrid IDS Methdology Centralize IDS management Virtually Mirrored Network Monitoring Artificial Immune System Real Implementation

9. Dendritic Cell Mechanism • Dendritic cells (DC) collects and present antigens to the adaptive immune system for processing. • Monitoring the PAMP, Safe and Danger signal of the environment. • Exist within three states – Immature – Semi-mature – Mature

10. Cloud IDS Algorithm Figure 1: Cloud IDS Algorithm

11. Cloud IDS model Figure 2: Cloud IDS Model

12. Implementation Figure 3: Cloud IDS Model Experiment Network

13. Future Works • Testing the Cloud IDS model with real Cloud data and environment. • Applying different machine learning mechanism in analysing and improving Cloud IDS result.

14. Conclusion • Dendritic Cell is known for detecting and killing any pathogens that infected human tissue and cells. • The successful of Dendritic Cell in protecting human body will also bring a success in protecting Cloud environment if the same mechanism are being implemented in the real world applications.

15.

16. References [1] D. Gollmann, "Computer security," Wiley Interdisciplinary Reviews: Computational Statistics, vol. 2, pp. 544- 554, 2010. [2] S. Subashini and V. Kavitha, "A survey on security issues in service delivery models of cloud computing," Journal of Network and Computer Applications, vol. 34, pp. 1-11, 2011. [3] W. Yassin, N. Udzir, Z. Muda, A. Abdullah, and M. Abdullah, "A Cloud-based Intrusion Detection Service framework," in Cyber Security, Cyber Warfare and Digital Forensic (CyberSec), 2012 International Conference on, 2012, pp. 213-218. [4] Available online at http://www.thestar.com.my/news/nation/2015/04/26/faster-bigger-and-sharper-cyber- criminals-are-stepping-up-their-game-to-trick-companies-and-digitall/ [5] BBC, "Google and Apple among hundreds hit in high-profile Pakistan hack," 26th November, 2012 2012. [6] U. Tupakula, V. Varadharajan, and N. Akku, "Intrusion detection techniques for infrastructure as a service cloud," in Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on, 2011, pp. 744-751. [7] G. Nascimento and M. Correia, "Anomaly-based intrusion detection in software as a service," in Dependable Systems and Networks Workshops (DSN-W), 2011 IEEE/IFIP 41st International Conference on, 2011, pp. 19-24. [8] K. Vieira, A. Schulter, C. Westphall, and C. Westphall, "Intrusion detection for grid and cloud computing," IT Professional Magazine, vol. 12, p. 38, 2010.

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