Building Resilient Infrastructure Research Articles

Solving Construction Project Delays as SDGS: Evidence from Indonesia

Objectives: For the service provider, the contract will be terminated by the Government, and it will be noted that they cannot participate in project tenders in the coming year. This study analyzes Service Providers who need resource readiness to complete the Project Schedule to Build resilient infrastructure, promote inclusive and sustainable industrialization, and foster innovation as SDGs Theoretical Framework: The theory used is project management by Kerzner (2013), cost management stages by expert Gunn (2017), and risk management to be effective by Santosa (2009). Methods: The method is descriptive qualitative. Data analysis by conducting interactive analysis, data reduction steps, data presentation, and drawing conclusions or verification. Results and Discussion: This study indicates that the project work schedule must be completed according to the mutually agreed agreement letter. The Regional Government must coordinate and communicate with service providers so that they can complete the project by the Agreement, especially on blocklist sanctions against service providers and the Implementation of statutory provisions on construction services, risk management, and project financing management. Conclusions: Applying the provisions of laws and regulations regarding Construction Services by implementing the terms of the agreement, apply risk management to the ad hoc project selection committee and the Public Works Department so that the risks of slow projects can be anticipated, and Implementing Funding and Time Management with resource planning with careful project cost estimation, cost budgeting, and cost control of changes to the project budget and Implement the project schedule according to the plan.

Socialization of Law Number 2 of 1981 and Law Number 8 of 1999 to Make it Happen Orderly Measuring Trade Through Tera and Retracting Measurement Tools and Education of Traders in Berastagi Market and Students of SMA Negeri 2 Kabanjahe

Sustainable Development Goals (SDGs) is a global action plan agreed upon by world leaders, including Indonesia, to end poverty, reduce poverty and protect the environment. SDGs contain 17 goals and 169 targets which are expected to be achieved by 2030. Universities are expected to help the government in strengthening SDGs programs. One of the 9th SDGs programs is "Building resilient infrastructure, increasing inclusive and sustainable industry, and encouraging innovation. In line with the 9th SDGs program, the people of North Sumatra Province who are highly dependent on agricultural livelihoods need innovation and empowerment programs to increase their efficiency and productivity. The Karo Regency area in North Sumatra Province has been developed into production centers for agricultural products such as vegetables and fruit. Berastagi is a fruit and vegetable producing center as well as a tourist area. As a producer and tourism center, the government has designated the Berastagi fruit market as an orderly market. However, it was found that the weighing measuring instruments owned by traders at the Berastagi fruit market did not have a valid stamp and had expired stamps, which resulted in a decrease in regional levy income for Karo Regency. Apart from that, the transfer of the D3 Metrology and Instrumentation study program in 2022 from FMIPA to USU's Faculty of Vocational Studies is not yet well known to the public, resulting in a decline in student interest in entering the D3 Metrology and Instrumentation study program, which has been proven to be far below the quota accepted in the 2023 new student admission achievement pathway. For this reason, through the community service program in 2023, it is necessary to introduce the D3 Metrology and Instrumentation study program through socialization activities on Law Number 2 of 1981 concerning Re-Terra and Re-Terra and Law Number 8 of 1999 concerning Consumer Protection, education on Re-Terra of Measuring Instruments. Weigh measuring instruments and carrying out re-testing of weighing measuring instruments for students and teachers at SMA Negeri 2 Kabanjahe and re-calibrating measuring measuring instruments owned by traders at the Berastagi fruit market and it is hoped that students and teachers at SMA Negeri 2 Kabanjahe will become informants about the importance of measuring instruments. repeat weighing measurements and have an interest in becoming a translatorthrough studying at the D3 Metrology and Instrumentation study program, USU Vocational Faculty.

Multi Controller Placement Optimization in Software Defined Network Controllers by using Genetic Algorithm

SDN stands for software-defined network, and it gives scalability to manage the network by giving the concept of centralization and open control. The key concept of software-defined networks is that it separates the control mechanism and data mechanism, so the controller of SDN is only responsible for controlling the network functions. The controller can be programmed or decoded as per the need of the network administrator, whether the network administrator wants to expand the network or downscale the existing network. Open flow is the protocol which is used to build communication between controllers and a switching node. Open flow protocol is responsible for synchronizing and receiving the flow table when the request from the switches increases to control the level and multiple routing information comes to the controller. The controller could not be able to manage such an overflow of information. As a result, the performance of the controller was affected. In this paper genetic algorithm technique is used to resolve the load balancing issue between the multiple controllers. The proposed solution of algorithm will perform the method of selection, crossover, and mutation techniques to optimize the load balancing of controllers. The proposed technique will be compared with some benchmark algorithms, and it will be proved that the proposed GA outperforms as compared to other existing algorithms. By optimizing network performance and resource utilization, the research contributes to building resilient infrastructure and promoting sustainable industrialization.

Risk Assessment in Sustainable Production: Utilizing a Hybrid Evaluation Model to Identify the Waste Factors in Steel Plate Manufacturing

In the realm of industrial development, steel has consistently played a pivotal role due to its extensive applications. This research aims to refine the process of steel plate manufacturing, focusing on reducing waste as a critical step towards embracing sustainable development and aligning with the Sustainable Development Goals (SDGs). Our approach integrates a hybrid analytical model grounded in Failure Mode and Effects Analysis (FMEA) to thoroughly investigate the waste-producing elements in steel plate production. The methodology of this study is structured in a three-pronged approach, as follows: Initially, it involves meticulous on-site inspections across various factories to pinpoint potential sources of waste. Subsequently, we employ the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method to intricately analyze the interconnectedness and impact of various risk factors. The final phase utilizes the Performance Calculation technique within the Integrated Multiple Multi-Attribute Decision-Making (PCIM-MADM) framework for aggregating and evaluating risk scores. This multifaceted approach aids in establishing the priorities for corrective actions aimed at waste reduction. Our findings present innovative solutions for identifying and mitigating critical waste factors, contributing to a more efficient and sustainable steel manufacturing process. These strategies promise scalability and adaptability for broader industrial applications and provide critical insights into resource optimization. This research directly supports the objectives of SDG 9, which focuses on building resilient infrastructure and promoting sustainable industrialization. Furthermore, it resonates with SDG 12, advocating for sustainable consumption and production patterns. By enhancing the efficiency and cost effectiveness of steel plate production, this study significantly contributes to minimizing waste and elevating the sustainability of industrial practices.

A Review on the Intersection of Artificial Intelligence on Building Resilient Infrastructure, Promoting Inclusive and Sustainable Industrialization and Fostering Innovation

Artificial Intelligence (AI) has made significant global impacts across various domains. However, it is evident that certain areas have yet to harness the full spectrum of opportunities AI can provide. This review aims to investigate the transformative effects of AI on diverse sustainable goals, including the development of resilient infrastructure, the promotion of inclusivity, and the cultivation of innovation. By shedding light on previously unnoticed challenges within the realms of industrialization and infrastructure, this study unveils a novel perspective on the potential for an AI-driven industrial and innovative world while preserving and enhancing efficiency

Headwinds in the heartland? Hazard planning lessons from six inland jurisdictions in the southern plains

The recent 20th anniversary of the adoption of the United States’ Disaster Mitigation Act of 2000 (DMA) offers an occasion to reflect on the performance of the intergovernmental policy framework it created to incentivize local hazard mitigation planning. Researchers know little about the status of local hazard mitigation planning in oft-overlooked inland communities and they know little about high-quality mitigation planning in the middle of the country. This study helps fill these gaps with a multistate, six-county comparative case study approach in the Southern Plains using data collected from the evaluation of plan documents and interviews with key informants. Our three core findings are: (1) the hazard mitigation plans tend to be of low to mediocre quality; (2) the networks of hazard mitigation stakeholders vary widely in composition and leadership, some replicating emergency management networks suited to preparedness and response and some much better suited to the quite different demands of long-term mitigation work; and (3) the types of consultants and their roles also varied across the six cases, bringing expertise characteristic of narrow emergency management perspectives to more integrated expertise in long-range land use and infrastructure planning perspectives. Without the requirements of the DMA, it is difficult to imagine that thousands of communities would have dedicated millions of dollars and untold hours to develop mitigation plans. Yet, as our findings show, the DMA is likely in need of a major overhaul, in spite of recent efforts like the new Federal Emergency Management Agency Building Resilient Infrastructure and Communities program.

Assessing regional implementation of Sustainable Development Goal 9 “Build resilient infrastructure, promote sustainable industrialization and foster innovation” in Poland

The paper deals with an immensely important and topical issue related to the implementation of sustainable development policies at the regional level. It focuses on assessing the level of sustainability in building stable infrastructure, promoting sustainable industrialization, and fostering innovation between 2015 and 2021 at the regional level in Poland. The areas included in the assessment relate to Goal 9 of the UN Agenda 2030 adopted by member states. The basis for the assessment was a developed research methodology based on a selected set of 19 indicators characterizing the development of innovation, industrialization and infrastructure at the regional level. The research covered 16 regions (provinces) in Poland from 2015 to 2021. In addition to determining the dynamics of change of individual indicators, characterizing the rate of change of the sustainable economy in these 16 regions, their ranking was created, reflecting the status of implementation of Goal 9 of the Agenda. The ranking was made using the developed new approach to analyzing a multi-criteria problem based on the MCDM methodology. The CODAS and CoCoSo methods and the Laplace criterion were used to determine the final value of the index for assessing the level of sustainable development of regions. Meanwhile, the values of the indicator weights were determined based on the Shannon Entropy and CRITIC methods and the aforementioned criterion. The determined index values formed the basis for making a ranking of the studied regions and assessing their level of development. The result of this process was their division into four classes differing in the level of achievement of Goal 9 of the Agenda. With the use of non-parametric tests (Kendall's Rank and Spearman Rank), an evaluation was carried out of the relationship between the values of the determined index and selected economic and social parameters characterizing the studied regions between 2015 and 2021. The results show that Poland is highly differentiated both temporally and spatially at the regional level. Throughout the entire analyzed period, the high level of development in the assessed scope was reported for the Masovia, Lower Silesia and Pomerania provinces, and the low level – for the Holy Cross Province. The results also confirm the relationship between a high degree of innovation, industrialization and stable infrastructure and economic development and living standards. The results show regions that need a decision on their nature and the role they are to play in the national and European economy.

Sustainable Development and Corporate Sustainability of Chilean State Universities: Evidence from Their Strategic Elements

Corporate sustainability evolved in line with the advancement of the concept of sustainable development; thus, it is constituted as a strategy to respond to social and environmental problems. In this context, universities are understood as complex organizations, positioned as a key mechanism for delivering the sustainable development of society. This research aimed to analyze whether the strategic elements of Chilean state universities integrate components of sustainable development. For this purpose, qualitative research was undertaken through a documentary analysis of the strategic plans of the 18 Chilean state universities, focusing analysis on their strategic elements: their mission, vision and strategic institutional objectives. The results revealed that all universities mention at least one concept associated with one of the 17 Sustainable Development Goals (SDGs) in their strategic guidelines. They mainly focused on ‘Quality Education’ (SDG 4) and ‘Build resilient infrastructure, promoting inclusive and sustainable industrialization and foster innovation’ (SDG 9). Also, the results allow us to visualize how universities address corporate sustainability issues through their strategic plans.

Optimizing SMEs Through Digital Design for Sustainable Industrial Development

SMEs (Small and Medium Enterprises) are the pillars of Indonesia's economy, as evidenced by their significant contribution to the country's gross domestic product. The digital disruption era, particularly during the pandemic, has necessitated changes in product development and marketing strategies for SMEs, pushing them towards digital approaches. This research aims to study the application of digital design in branding and digital marketing strategies by SMEs, providing recommendations based on the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The qualitative research method utilized data from two product samples: Maicih (Food) and Compass (Fashion). In the case of Maicih, engagement was built through a viral snack brand known for its unique spicy flavors, enjoyed socially. The brand's social media, featuring the tagline "cerita emak" (mother's stories), helped foster interaction and drive traffic to online marketplaces. For Compass, the focus was on building a sneaker community, facilitating buying and selling within the community, and fostering emotional connections through collaborations. This study encompasses market analysis, brand design, and the digital development and implementation process. SMEs that can adapt and sustain themselves can address the sustainability goal: "Build resilient infrastructure, promote inclusive and sustainable industrialization, and foster innovation.”

Developing Effective Project Management Strategy for Urban Flood Disaster Prevention Project in EDO State Capital, Nigeria

Emphasizing the need to provide a coordinated flood management strategy in the country and avoid acting in an isolated way when it occurs, improving the attitude of flood control during floods, and controlling floods with comprehensive analysis are among the main purposes of the current study. In this study, the environment’s physical, technological, social, economic, and political characteristics are considered to assess the urban flood risk. This study entails a discussion of flood hazard control in Benin City, the capital city of Edo State of Nigeria. The research methodology involves employing both interviews and questionnaire distribution. First, three key persons involved in flood control are interviewed at the State Emergency Management Agency (SEMA), which coordinates disaster risk reduction in the state, and then, the responses are classified into themes that are used to prepare the questionnaire to be distributed in four main regions. The questionnaires are distributed to the employees in institutions concerned with flood control and to the general population living in the region. Based on the obtained results from the interviews, some methods that could be applicable in controlling flooding in the region are listed. The results showed that the most important ones are flood warning systems, flood prevention through using the building resilient infrastructure and community programs, protection and mitigation through using natural processes, and strategic implementation of a flood emergency plan through sustainability.

A narrative review on use of biomaterials in achieving SDG 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation

This study aims to address the gaps in the existing literature on the use of biomaterials in achieving SDG 9, identify gaps in current knowledge, and provide insights for future research directions. A narrative review of 62 papers published between 1996-mid 2023 in which use of biomaterials in achieving SDG 9 ( build resilient infrastructure, promote sustainable industrialization and foster innovation) shows that biomaterials have great potential to transform the construction and infrastructure industries by providing sustainable, biodegradable, and cost-effective alternatives to traditional materials. The use of biomaterials and new technologies in various industries has the potential to create significant economic, social, and environmental impacts. However, realizing these benefits requires investment in research and development, improving production processes, and creating policies that support the use of sustainable biomaterials. There is a need to consider the sustainability and environmental impact of biomaterials in various applications, including medical devices, orthopedic biomaterials, and biofuels, among others. Their development and implementation may require supportive policy and governance frameworks. Future research directions can focus on several areas such as optimization of biocompatibility and biodegradability of biomaterials, developing scalable and cost-effective manufacturing processes for sustainable biomaterials.

Green Supply Chain Practices: Toward A Sustainable Industry Development

As environmental consciousness is growing, organizations are required to implement environmental-friendly practices, and to develop sustainable strategies not just for the health of the environment but also for sustaining the industry for the future. Today consumers value organizations that go green and are willing to pay a price premium for sustainable goods. Then, it is an incumbent need for the industry to integrate sustain ability concepts into its traditional supply chain management. The industry is a driving force behind sustainable development, where industry 4.0 is set to be a critical enabler. Nevertheless, to foster sustainable development of the industry, there is a need for applying uniform standards in environmental management to reduce the consumption of renewable resources and develop productive ways of reusing and recycling the used/waste resources. This paper, theoretical by nature, explores the impact of Green Supply Chain Practices (GSCP) on accelerating industry-related targets of Sustainable Development Goal (SDG) 9 on building resilient infrastructure, promoting inclusive and sustainable industrialization, and fostering innovation. Based on the literature review, conceptual interlinkages between the targets of SDG 9 and those SDGs that address issues of social, economic, and environmental goals, are studied in the context of GSCP. This work provides an understanding of the impact of green practices on the achievement of the SDGs.

Universities of Applied Sciences’ Leadership Role in Regional Innovation Ecosystems

The 2030 Agenda for Sustainable Development contains 17 Goals. Goal 9 concerns building resilient infrastructure, promoting inclusive and sustainable industrialization and fostering innovation. Hence, the development of innovation ecosystems in the European community plays an important role. This development is carried out at all levels of governance with an emphasis on the regional governance. The innovation ecosystem approach considers innovation a process that emerges from interaction among different types of companies and other organizations. One of the common success factors and actors in the innovation ecosystem consists of educational organizations that provide access to knowledge and creating knowledge infrastructure. However, the role of universities of applied sciences is not clear in empowering regional innovation ecosystems. In this conceptual paper, the role of universities of applied sciences in regional innovation ecosystems, is discussed. The research has been carried out by conducting an integrative literature review to identify themes, debates and gaps about the role of educational organizations using the Regional Innovation System model (RIS-model) and the system elements for diagnosing ecosystems. The outline of the paper shows that there is a great potential for universities of applied sciences in taking a leadership role in the regional innovation ecosystem due to their neutrality, practical-oriented accumulated knowledge, and expertise in relation to different stakeholder groups. This paper provides an overview of the key findings regarding the potential leadership role of universities of applied sciences in the regional innovation ecosystem for the management board of universities of applied sciences and regional policy makers. Thus, contributes to the formulation of regional innovation policies by including universities of applied sciences more clearly as active partners.

Valuable Business Knowledge Asset Discovery by Processing Unstructured Data

Modern organizations are challenged to enact a digital transformation and improve their competitiveness while contributing to the ninth Sustainable Development Goal (SGD), “Build resilient infrastructure, promote sustainable industrialization and foster innovation”. The discovery of hidden process data’s knowledge assets may help to digitalize processes. Working on a valuable knowledge asset discovery process, we found a major challenge in that organizational data and knowledge are likely to be unstructured and undigitized, constraining the power of today’s process mining methodologies (PMM). Whereas it has been proved in digitally mature companies, the scope of PMM becomes wider with the complement proposed in this paper, embracing organizations in the process of improving their digital maturity based on available data. We propose the C4PM method, which integrates agile principles, systems thinking and natural language processing techniques to analyze the behavioral patterns of organizational semi-structured or unstructured data from a holistic perspective to discover valuable hidden information and uncover the related knowledge assets aligned with the organization strategic or business goals. Those assets are the key to pointing out potential processes susceptible to be handled using PMM, empowering a sustainable organizational digital transformation. A case study analysis from a dataset containing information on employees’ emails in a multinational company was conducted.

Building Resilient Infrastructure and Communities (DHS)

Federal Grants & ContractsVolume 46, Issue 19 p. 4-4 Grants alerts Building Resilient Infrastructure and Communities (DHS) First published: 06 September 2022 https://doi.org/10.1002/fgc.32566Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume46, Issue198 September 2022Pages 4-4 RelatedInformation

The Role of Islamic Finance in Achieving the SDG Number 9: Build Resilient Infrastructure, Promote Sustainable Industrialization and Foster Innovation

<span>The purpose of this research is to investigate the role of Islamic financing in achieving the Sustainable Development Goals (SDGs), specifically Goal 9: develop resilient infrastructure, promote sustainable industrialization, and foster innovation</span><span lang="EN-US">. U</span><span>s</span><span lang="EN-US">ing</span><span> qualitative approaches to integrate data from secondary sources such as the Islamic Financial Services Industry Stability Report</span><span lang="EN-US">, t</span><span>his paper demonstrates how sukuk</span><span lang="EN-US"> can</span><span> be considered as one of the alternative strategies capable of mobilizing financial resources and encouraging investment in infrastructure development projects.</span><span lang="EN-US"> The finding shows that sukuk is a crucial factor in supporting the SGDs number 9 by financing infrastructure development projects that might result in sustainable industrialization and foster innovation that focuses on keeping up with technological advancement.</span>

Effects of droughts on the delivery of infrastructure services in Kenya

AbstractKenya is prone to severe droughts due to infrequent, unpredictable and irregular annual precipitation in many parts of the country. Of all 47 Kenyan counties, 23 are classified as arid and semi‐arid (ASAL), constituting approximately 88% of the country's land mass. Like in many developing countries, droughts in Kenya are well known to affect provision of food. They also have the potential to affect infrastructure services. Kenya has an infrastructure deficit, meaning that a large portion of the infrastructure has not been significantly developed, being exposed to major risks emanating from natural disasters. When droughts occur, infrastructure is exposed to further risks of structural damage and deterioration, leading to increased maintenance costs. In addition, users must travel longer distances and spend more time in order to have access to infrastructure services. This paper discusses how droughts affect users of infrastructure services. The survey is based on a primary study carried out in 1370 households across 27 counties of Kenya. It also relies on secondary data, including from the Kenya Integrated Household Budget Survey (KIHBS) for 2015/16, reflecting access to basic infrastructure services across the surveyed 27 counties. The research findings illustrate that droughts reduce access to infrastructure services such as energy, water provision, housing and communications, thus requiring climate‐sensitive policy interventions. The study concludes that building resilient infrastructure to respond to and mitigate the effects of drought is critical. It also emphasizes the importance of cooperation among different stakeholders in the country.

Current State and Future Direction for Building Resilient Water Resources and Infrastructure Systems

Planning and developing resilient socio-technical and natural systems to cope with and respond to unprecedented changes has been one of the top goals of government bodies, researchers, and practitioners worldwide. This study aims to review how resilience is defined and evaluated in water resources and infrastructure systems (hereafter water systems) and propose a framework to analyze and incorporate resilience in the system. Two questions guide the review: How is resilience defined in water systems compared to other disciplines? What are commonly used resilience measures and methods applicable to water systems? Based on the review, a resilience analysis framework has been proposed. The framework uses a system of systems approach and applies hierarchical holographic modeling to address the complexity of interdependent systems. The resilience of the systems was analyzed using three questions: resilience of what, resilience to what, and resilience for whom. Two resilience measures selected for the analysis are robustness and rapidity. The framework also includes methods for uncertainty analysis, options for resilience strategies, and multi-criteria decision analysis methods to select optimal resilience options. The review is not exhaustive due to the broader topic but aims to present necessary background information to support the proposed framework.

Digital engineering for resilient road infrastructure outcomes: Evaluating critical asset information requirements

The United Nations Sustainable Development Goal 9 on building resilient infrastructure highlights the urgent need for enabling evidence-based decision making for Infrastructure Asset Management supported by targeted platforms such as digital engineering and digital earth. In this paper the authors argue that an Asset Information Requirement matrix is an essential decision support tool for authorities and practitioners to evaluate right time, right place use of infrastructure data for resilient outcomes. The authors present an exploratory study that synthesizes the experiences of senior asset management decision-makers from road research institutes, state and local government bodies based in South East Queensland, Australia. The findings are discussed in relation to: digital engineering for managing complex data; current practice and outlook; key asset information requirements; and data structures, interactions and interdependencies. The authors present an ‘Asset Information Requirement Matrix’ that categorises 66 data requirements across four key infrastructure data types (including 13 information categories), and asserts the relevance of these data requirements for the six key phases of planning, design, construction, acquisition, operations and end-of-life treatment. The authors also present an ‘Asset Interaction Matrix’ which depicts the temporal, spatial and logical relationships between the 13 information categories. The authors conclude the importance of these asset matrices to leverage digital engineering for resilience infrastructure outcomes. The two matrices create a common language platform for engaging in digital engineering conversations, wherein authorities and practitioners can establish clear arrangements for measuring and monitoring road infrastructure through its life cycle.

Deep Learning Based Intrusion Detection in Cloud Services for Resilience Management

In the global scenario one of the important goals for sustainable development in industrial field is innovate new technology, and invest in building infrastructure. All the developed and developing countries focus on building resilient infrastructure and promote sustainable developments by fostering innovation. At this juncture the cloud computing has become an important information and communication technologies model influencing sustainable development of the industries in the developing countries. As part of the innovations happening in the industrial sector, a new concept termed as ‘smart manufacturing’ has emerged, which employs the benefits of emerging technologies like internet of things and cloud computing. Cloud services deliver an on-demand access to computing, storage, and infrastructural platforms for the industrial users through Internet. In the recent era of information technology the number of business and individual users of cloud services have been increased and larger volumes of data is being processed and stored in it. As a consequence, the data breaches in the cloud services are also increasing day by day. Due to various security vulnerabilities in the cloud architecture; as a result the cloud environment has become non-resilient. To restore the normal behavior of the cloud, detect the deviations, and achieve higher resilience, anomaly detection becomes essential. The deep learning architectures-based anomaly detection mechanisms uses various monitoring metrics characterize the normal behavior of cloud services and identify the abnormal events. This paper focuses on designing an intelligent deep learning based approach for detecting cloud anomalies in real time to make it more resilient. The deep learning models are trained using features extracted from the system level and network level performance metrics observed in the Transfer Control Protocol (TCP) traces of the simulation. The experimental results of the proposed approach demonstrate a superior performance in terms of higher detection rate and lower false alarm rate when compared to the Support Vector Machine (SVM).