INMTD: Intent-based Moving Target Defense Framework using Software Defined Networks

Hyder, Muhammad Faraz; Ismail, Muhammad Ali

doi:10.48084/etasr.3266

Cited by 16 publications

(5 citation statements)

References 20 publications

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“…Intent-Based Interfaces [108], [113]- [115] Information Exposure Intercepting information of intents by an unauthorized entities to compromise system security objectives(e.g. ., privacy, confidentiality [116] .This may lead to the launch of other attacks…”

Section: Deception On Attacks Intends To Tamper Transmitted Datamentioning

confidence: 99%

A taxonomical survey of 5G and 6G security and privacy issues

Ounza¹

2023

Global J. Eng. Technol. Adv.

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Extensive research has been done on 5G and 6G security challenges. It has been shown that these challenges have the potential of affecting cross board 5G and 6G ecosystems such as technologies, services and applications. The perspective of the currently identified security challenges vary depending on the researcher’s area of concern. This survey generated a consolidated source of information on the taxonomy of 5G and 6G ecosystem security challenges necessary for addressing both pre and post security issues to be encountered upon 5G and 6G implementation.

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Section: Deception On Attacks Intends To Tamper Transmitted Datamentioning

confidence: 99%

A taxonomical survey of 5G and 6G security and privacy issues

Ounza¹

2023

Global J. Eng. Technol. Adv.

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“…To this end, the current research examines the proposed [1] and implemented [2] model of hybrid integrated automation tools based on DevOps. Study is also conducted from different perspectives of model building [13,15] to the application of cloud computing [15] or the adoption of recent approaches for development industries. Based on the existing literature and our tool model, this paper performs an evaluation of different types of parameters or software metrics for quality measurement.…”

Section: Motivationmentioning

confidence: 99%

Performance Assessment of Traditional Software Development Methodologies and DevOps Automation Culture

Narang¹,

Mittal²

2022

Eng. Technol. Appl. Sci. Res.

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Successful implementations of Software Development Methodologies significantly improve software efficiency, collaboration and security. Most companies are moving away from traditional development methodologies towards DevOps for faster and better software delivery. DevOps, which is a primary need of the IT industry, brings development and operation teams together to overcome communication gaps responsible for software failures. It relies on different sets of automation tools to robotize the tasks of software development from continuous integration, to testing, delivery, and deployment. The existence of several automation tools in each development phase raises the need for an integrated set of tools to reduce development time. For this purpose, we used the DevOps-based hybrid model Integrated Tool Chain (ITC), along with three sample java-based projects or code repositories to quantify the results. This paper evaluates and compares measurement metrics of java projects using traditional development methodologies and DevOps, and the results are shown in tabular and graphical format. The latest Google and Stack Overflow Trends have also been included to retrieve the best performer development methodology. This comparative and evaluative performance analysis will be beneficial to young researchers that study the metrics of software development, while also they will be introduced to the automotive environment of DevOps, the latest emerging buzzword in software development.

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“…Hyder and Ismail proposed an Intent-based Moving Target Defense (INMTD) framework in which Software Defined Networks (SDNs) are utilized [5]. In their framework, the concept of shadow servers is used to counter the reconnaissance stage of cyber-attacks where the servers running in SDN networks are the prime target.…”

Section: Moving Target Defensementioning

confidence: 99%

Reinforcement Learning for Generating Secure Configurations

Dass¹,

Namin²

2021

Electronics

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Many security problems in software systems are because of vulnerabilities caused by improper configurations. A poorly configured software system leads to a multitude of vulnerabilities that can be exploited by adversaries. The problem becomes even more serious when the architecture of the underlying system is static and the misconfiguration remains for a longer period of time, enabling adversaries to thoroughly inspect the software system under attack during the reconnaissance stage. Employing diversification techniques such as Moving Target Defense (MTD) can minimize the risk of exposing vulnerabilities. MTD is an evolving defense technique through which the attack surface of the underlying system is continuously changing. However, the effectiveness of such dynamically changing platform depends not only on the goodness of the next configuration setting with respect to minimization of attack surfaces but also the diversity of set of configurations generated. To address the problem of generating a diverse and large set of secure software and system configurations, this paper introduces an approach based on Reinforcement Learning (RL) through which an agent is trained to generate the desirable set of configurations. The paper reports the performance of the RL-based secure and diverse configurations through some case studies.

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INMTD: Intent-based Moving Target Defense Framework using Software Defined Networks

Cited by 16 publications

References 20 publications

A taxonomical survey of 5G and 6G security and privacy issues

A taxonomical survey of 5G and 6G security and privacy issues

Performance Assessment of Traditional Software Development Methodologies and DevOps Automation Culture

Reinforcement Learning for Generating Secure Configurations

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