RASSH - Reinforced adaptive SSH honeypot

Pauna, Adrian; Bica, Ion

doi:10.1109/iccomm.2014.6866707

Cited by 31 publications

(21 citation statements)

References 7 publications

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“…They have used python to implement their working prototype. But author concluded RASSH as not fully operational and expects improvements in terms of scalabilty, coding efficiency and further optimizations of action from the honey pot in response to commands executed by attacker during the interaction [13]. Harald Gjermundrod and Ioanna Dionysiou wrote in their paper named as , "CloudHoneyCY -An Integrated Honeypot Framework for Cloud Infrastructures" , about how collection of low interaction and high interaction honey pots can be deployed in cloud environment using honey pi to provide security controlled environment.…”

Section: Literature Reviewmentioning

confidence: 99%

Cloud security using self-acting spontaneous honeypots

Khan¹,

Mohan²

2018

IJET

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Cloud Computing is growing in terms users, infrastructure, services, also security issues like: Cyber attacks are increasing day by day security community need some better mechanism to learn about attacks and which can provide an improved response against these security issues in cloud effectively. Current defences, security solutions, security equipments doesn't cover two or all three security concepts which are prevention, detection and response. Honeypot security resource can be used to add value to the cloud security community it can cover all three security concepts if implemented intelligently. In this project a high-interaction based self-acting spontaneous honey pot, abbreviated as SAS HP, which can dynamically change its behavior after learning from an attacker, is proposed and its architecture is given which can be deployed in the cloud environment for the analysis of attack patterns and to secure cloud systems. Also, the concept that how the instances of this honey pot can be made available as a service to the customer and how this SAS HP can be deployed with in cloud is given in this report. The aim is to develop the working prototype of the proposed system in cloud environment.

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Section: Literature Reviewmentioning

confidence: 99%

Cloud security using self-acting spontaneous honeypots

Khan¹,

Mohan²

2018

IJET

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“…The integration of incident handling, cybersecurity and machine learning is presented in other papers, such as Takahashi et al [5], Simmons et al [6] and Pauna et al [19]. They describe how Internet development leads to a widespread deployment of various IT technologies and security advances.…”

Section: Related Workmentioning

confidence: 99%

Cyber Protection of Critical Infrastructures Using Supervised Learning

Patrascu

Patriciu

2015

2015 20th International Conference on Control Systems and Computer Science

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Interconnected computing units are used more and more in our daily lives, starting from the transportation systems and ending with gas and electricity distribution, together with tenths or hundreds of systems and sensors, called critical infrastructures. In this context, cyber protection is vital because they represent one of the most important parts of a country's economy thus making them very attractive to cyber criminals or malware attacks. Even though the detection technologies for new threats have improved over time, modern malware still manage to pass even the most secure and well organized computer networks, firewalls and intrusion detection equipments, making all systems vulnerable. This is the main reason that automatic learning is used more often than any other detection algorithms as it can learn from existing attacks and prevent newer ones.In this paper we discuss the issues threatening critical infrastructures systems and propose a framework based on machine learning algorithms and game theory decision models that can be used to protect such systems. We present the results taken after implementing it using three distinct classifiers -k nearest neighbors, decision trees and support vector machines.

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“…Furthermore, the integration of cloud incident handling and cybersecurity is presented in other papers, such as Takahashi et al [4], Simmons et al [5] and Pauna et al [9]. They describe how Internet development leads to a widespread deployment of various IT technologies and security advances.…”

Section: Related Workmentioning

confidence: 99%

Cloud computing digital forensics framework for automated anomalies detection

Patrascu

Velciu

Patriciu

2015

2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics

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Cloud Computing is one of the most important paradigms used in today's digital environment because they offer to the user benefits such as virtual machine renting, digital information backup, ease of access to stored data and many other. Together with the increased usage of these technologies, at the datacenter level we need to know in detail the information flux between the computing nodes. More exactly, on which server the data is processed, how it is manipulated and stored at the physical or virtual level. To have a full picture of what it is going on we need to have a centralized system that can collect data regarding about the datacenters status and correlate them with known anomalies and other usage patterns and in case of a security breach to act accordingly.In this paper we present a new way to monitor running virtual machines existing at a datacenter level. We will talk about the architecture, and how we use the information collected to train our automated anomalies machine learning modules. We also present some implementation details and results taken from the experimental setup.

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RASSH - Reinforced adaptive SSH honeypot

Cited by 31 publications

References 7 publications

Cloud security using self-acting spontaneous honeypots

Cloud security using self-acting spontaneous honeypots

Cyber Protection of Critical Infrastructures Using Supervised Learning

Cloud computing digital forensics framework for automated anomalies detection

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