Risk Reduction Activities Identification in Software Component Integration for Component Based Software Development (CBSD)

Fatima, Fariha; Ali, Saqib; Ashraf, Muhammad Usman

doi:10.5815/ijmecs.2017.04.03

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…The intelligent ant agents optimize their routes and activities to minimize energy consumption while maintaining effective intrusion detection. The decentralized nature of SAZIDS enhances its scalability and resilience [23]. Ant agents operate autonomously, contributing to the robustness of the intrusion detection system.…”

Section: Related Workmentioning

confidence: 99%

A Secured Intrusion Detection System for Mobile Edge Computing

Alsubhi

2024

Applied Sciences

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With the proliferation of mobile devices and the increasing demand for low-latency and high-throughput applications, mobile edge computing (MEC) has emerged as a promising paradigm to offload computational tasks to the network edge. However, the dynamic and resource-constrained nature of MEC environments introduces new challenges, particularly in the realm of security. In this context, intrusion detection becomes crucial to safeguard the integrity and confidentiality of sensitive data processed at the edge. This paper presents a novel Secured Edge Computing Intrusion Detection System (SEC-IDS) tailored for MEC environments. The proposed SEC-IDS framework integrates both signature-based and anomaly-based detection mechanisms to enhance the accuracy and adaptability of intrusion detection. Leveraging edge computing resources, the framework distributes detection tasks closer to the data source, thereby reducing latency and improving real-time responsiveness. To validate the effectiveness of the proposed SEC-IDS framework, extensive experiments were conducted in a simulated MEC environment. The results demonstrate superior detection rates compared to traditional centralized approaches, highlighting the efficiency and scalability of the proposed solution. Furthermore, the framework exhibits resilience to resource constraints commonly encountered in edge computing environments.

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Section: Related Workmentioning

confidence: 99%

A Secured Intrusion Detection System for Mobile Edge Computing

Alsubhi

2024

Applied Sciences

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“…In figure 3 we have discussed the basic threats of cloud computing. We have discussed technological, human-related and hardware, and software-based threats in this taxonomy diagram [41]. [4] discussed that, due to the progress of web innovation, the content of data is becoming quite gigantic.…”

Section: Cloud Computing Threatsmentioning

confidence: 99%

A Survey on Data Security in Cloud Computing Using Blockchain: Challenges, Existing-State-Of-The-Art Methods, And Future Directions

Ashraf

2021

Research Journal Of Computer Science And Information Technology

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Cloud computing is one of the ruling storage solutions. However, the cloud computing centralized storage method is not stable. Blockchain, on the other hand, is a decentralized cloud storage system that ensures data security. Cloud environments are vulnerable to several attacks which compromise the basic confidentiality, integrity, availability, and security of the network. This research focus on decentralized, safe data storage, high data availability, and effective use of storage resources. To properly respond to the situation of the blockchain method, we have conducted a comprehensive survey of the most recent and promising blockchain state-of-the-art methods, the P2P network for data dissemination, hash functions for data authentication, and IPFS (InterPlanetary File System) protocol for data integrity. Furthermore, we have discussed a detailed comparison of consensus algorithms of Blockchain concerning security. Also, we have discussed the future of blockchain and cloud computing. The major focus of this study is to secure the data in Cloud computing using blockchain and ease for researchers for further research work.

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“…They identified the key distinguishing factors of software components that need to be addressed to ensure successful integration, such as component behavior and a logical execution environment. Fatima et al [8] conducted a semi-systematic survey to identify risk factors for the integration of software components. They concluded that a lack of interoperability standards, glue code, and format variation are the key reasons for failure to integrate.…”

Section: Related Workmentioning

confidence: 99%

Repository System for Geospatial Software Development and Integration

Alkazemi¹

2019

ijacsa

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The integration of geospatial software components has recently received considerable attention due to the need for rapid growth of GIS application and development environments. However, finding appropriate source code components that can be incorporated into a system under development requires considerable verification to ensure the source code can work correctly. This paper therefore describes the design of a repository system that employs a new specification language, namely SpecJ2, to address the challenges involved in integrating and operating software components. SpecJ2 was designed to represent the architectural attributes of source code components and to abstract their complexity by applying the notion of separation of concerns, a key consideration when designing software systems. The results of the experiment showed that SpecJ2 is capable of defining the different architectural attributes of source code components and can facilitate their integration and interaction at run-time. Thus, SpecJ2 can classify software components according to their identified types.

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Risk Reduction Activities Identification in Software Component Integration for Component Based Software Development (CBSD)

Cited by 4 publications

References 10 publications

A Secured Intrusion Detection System for Mobile Edge Computing

A Secured Intrusion Detection System for Mobile Edge Computing

A Survey on Data Security in Cloud Computing Using Blockchain: Challenges, Existing-State-Of-The-Art Methods, And Future Directions

Repository System for Geospatial Software Development and Integration

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