Abstract MANET is a wireless network that lacks infrastructural support. Most operations they perform are coordinated between nodes because of their limited transmission range. Assess the secure MANET routing protocol in a malicious environment. However, in the MANET environment security is an important constraint that affects the data transmission rate and cause data loss. This paper developed an Intrusion Detection System Conditional RandomField (IDS – CRF) model for security. The developed model uses the hashing function integrated with the Conditional Random Field model. The IDS – CRF model uses the label sequences for data security in the MANET environment. The model uses the DSR protocol with the discriminative field to process the secure data in the MANET. The proposed IDS-CRF model uses the hashing function for improved data transmission security in the MANET environment. The performance of the proposed IDS – CRF model is comparatively examined with the conventional DSR protocol. The comparative analysis expressed that the proposed IDS – CRF model achieves the ~4% reduction in the delay and ~2% reduction in the routing overhead. Similarly, the proposed IDS – CRF model achieves the ~4% reduced energy consumption. In terms of the Packet delivery ratio and throughput the proposed IDS – CRF model achieves the ~4% - ~6% improved performance than DSR model.
Technology and the economy are deeply interconnected, and advancements in technology have had a significant impact on the economic sector, and vice versa. The relationship between technology and the economy can be viewed from several perspectives:
Innovation and Technology Adoption: Technological advancements have enabled the creation of new products and services, and businesses that innovate and adopt new technologies can gain a competitive advantage over their peers. The adoption of new technology can also lead to increased productivity, cost savings, and improved customer experiences, all of which can positively impact the economic sector.
Automation and Job Disruption: The adoption of new technologies can also lead to job displacement, particularly in industries that rely heavily on manual labor. However, the automation of certain tasks can also lead to the creation of new jobs in the technology sector. Additionally, the increased efficiency and productivity resulting from automation can lead to economic growth and increased job opportunities in other sectors.
Data Analytics and Decision Making: The use of data analytics and artificial intelligence in business decision making has become increasingly prevalent, as companies seek to gain insights into consumer behavior and improve operational efficiency. These technologies can provide businesses with a competitive advantage by enabling them to make data-driven decisions and improve their bottom line.
E-commerce and Globalization: The growth of e-commerce has enabled businesses to expand their customer base globally, leading to increased trade and economic growth. Additionally, the rise of digital platforms has enabled small businesses to compete with larger firms and enter new markets.
Overall, technology and the economy are closely intertwined, and advancements in technology have the potential to shape the future of the economic sector in significant ways. However, the impact of technology on the economic sector is not always positive, and policymakers must consider the potential impact of new technologies on the workforce and society as a whole.
Technology and the economy are deeply interconnected, and advancements in technology have had a significant impact on the economic sector, and vice versa. The relationship between technology and the economy can be viewed from several perspectives
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