Eco-Intelligence

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 31 - 62

Published: Nov. 1, 2024

This chapter, titled “Eco-Intelligence: AI's Contribution to a Sustainable World,” explores the significant influence of artificial intelligence (AI) on environmental sustainability. The text examines impact AI in several areas such as climate change mitigation, biodiversity protection, smart agriculture, urban sustainability, and circular economy projects. chapter focuses use predictive modeling for scenarios, optimization renewable energy systems, real-time monitoring emissions. These applications together contribute reduction greenhouse gas emphasis conservation is skills species identification, habitat mapping, anti-poaching initiatives. also augmenting precision farming, boosting crop monitoring, managing sustainable fisheries. integration technology revolutionizes planning waste management by enhancing resource efficiency.

Language: Английский

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Approaches of Deep Learning Used in Cyber Security and Cyber-Crime

Advances in electronic government, digital divide, and regional development book series, Journal Year: 2024, Volume and Issue: unknown, P. 123 - 136

Published: Oct. 25, 2024

Deep Learning (DL) is an area of artificial intelligence (AI), wherein machine learning (ML) using convolutional neural networks to detect patterns in data and forecast its worth. It excels tough settings like climate change can handle sophisticated jobs such as image speech recognition, natural language processing, others. models have found applications a variety fields due their ability reflect complicated data. the capacity analyze automatically classify large volumes Internet traffic. learning-based solutions that automate detection attacks address cybersecurity issues are gaining popularity. This study extensively describes promising uses deep learning, which based on many layers networks, wide range security challenges. Before critically comparatively reviewing state-of-the-art from literature, we will highlight main properties typical architectures used applications. highlights developing concepts provides overview required resources, general framework appropriate datasets. The limits evaluated works highlighted, well vision present challenges field, providing useful insights best practices for researchers developers working related problems.

Language: Английский

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Cybersecurity Affected Social Life Using Online Transactions in India

Advances in electronic government, digital divide, and regional development book series, Journal Year: 2024, Volume and Issue: unknown, P. 137 - 150

Published: Oct. 25, 2024

India is fast advancing its digital goals, with initiatives like Make in and Digital benefiting the economy. However, because of reliance on interconnected networks systems, cyber security challenging to implement. As one most often targeted countries cyberspace, India's cybersecurity resilience critical safeguarding vital assets. has taken a variety legislative organizational efforts bolster defences respond cybercrime more effectively. The Ministry Electronics Information Technology (MeitY) administers cybersecurity. Computer Emergency Response Team (CERT-IN), an institution within MeitY primary body charge dealing issues. CERT-IN also increases Indian Internet's defences.The government must act as facilitator, forming public-private partnership focusing user awareness education. Most significantly, privacy should be balanced while promoting R&D order preserve superiority cyberspace.

Language: Английский

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Machine Learning for Traffic Management, Object Detection, and Collision Avoidance in Autonomous Driving for Smart City Governance

Advances in electronic government, digital divide, and regional development book series, Journal Year: 2024, Volume and Issue: unknown, P. 87 - 106

Published: Oct. 25, 2024

Machine learning (ML) does an excellent job of enhancing traffic management, object detection and collision avoidance in autonomous driving which has direct real-world impact on smart city governance. These algorithms process a vast stream real-time data coming from sensors, cameras, IoT devices to facilitate flow by minimizing congestion optimizing routes. ML automatically detects pedestrians, vehicles, obstacles with great accuracy ensuring that safety is increased. driven systems prevent accidents predicting hazards reacting potential ones before they happen. When integrated driving, enables cities create more level efficiency transportation foster sustainable urban mobility. This technology helps improve the performance vehicles ties aims reduce emissions, energy consumption while improving overall life.

Language: Английский

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Social Engineering in Social Media and Online Interactions

Advances in information security, privacy, and ethics book series, Journal Year: 2024, Volume and Issue: unknown, P. 257 - 292

Published: Sept. 27, 2024

Social engineering in social media and online interactions has emerged as a critical concern the digital age, driven by increasing interconnectivity sharing of personal information online. This study is motivated growing prevalence cyberattacks that exploit human psychology rather than technical vulnerabilities, targeting individuals through platforms where they share details. By examining various techniques such phishing, pretexting, baiting. research highlights methods attackers use to manipulate specific vulnerabilities environments. The leverages data from recent cases surveys analyze effectiveness these impact on both organizations. findings underscore significant risks posed attacks, revealing psychological underpinnings make tactics so effective.

Language: Английский

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