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3rd International Conference on Computational Intelligence and Data Engineering (ICCIDE-25)

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Smart City Opportunities using Green Technology

Smart cities using green technology leverage IoT, data analytics, and renewable energy to enhance sustainability. Opportunities include smart grid systems for energy efficiency, intelligent waste management, smart traffic control, green building technologies, and real-time monitoring of air quality and resource usage. These initiatives reduce carbon emissions, conserve resources, and improve urban living conditions.

User-centric smart city services prioritize the needs and convenience of citizens through personalized, accessible, and efficient solutions. These services include smart transportation systems, mobile apps for public services, personalized healthcare, and energy-efficient smart homes. By leveraging IoT, data analytics, and AI, they enhance quality of life, improve service delivery, and foster community engagement in urban environments.

 The Industrial Internet of Things (IIoT) connects machines, sensors, and devices in industrial environments to optimize processes, improve efficiency, and enable real-time data analytics. IIoT enables predictive maintenance, remote monitoring, and automation, reducing downtime and operational costs. It enhances decision-making by providing valuable insights, transforming industries like manufacturing, energy, agriculture, and logistics into smarter, more efficient ecosystems.

Intrusion Detection and Prevention Systems (IDPS) monitor network or system activities to identify and mitigate security breaches. Intrusion Detection identifies suspicious activities using methods like signature-based or anomaly-based detection. Intrusion Prevention actively blocks detected threats in real-time. IDPS enhances cybersecurity by safeguarding sensitive data, preventing unauthorized access, and addressing potential vulnerabilities in networks and systems.

Key distribution and management ensure secure generation, exchange, and storage of cryptographic keys. They enable trusted communication by distributing symmetric or asymmetric keys to authorized parties while preventing unauthorized access. Techniques include Public Key Infrastructure (PKI), Diffie-Hellman exchange, and key rotation policies. Effective management protects against key compromise, ensuring data confidentiality, authentication, and integrity in secure systems.
 Large-scale attacks, like Distributed Denial of Service (DDoS), ransomware, and advanced persistent threats (APTs), target extensive systems or networks, causing widespread disruption and data breaches. Defense strategies include threat intelligence, network segmentation, intrusion prevention systems (IPS), and regular security updates. Collaboration, proactive monitoring, and automated defenses enhance resilience against these sophisticated and coordinated cyberattacks.

Security and privacy in wireless networks protect data transmission against eavesdropping, unauthorized access, and attacks like spoofing and denial of service. Techniques include encryption (WPA3, AES), secure authentication, and firewall protection. Privacy safeguards ensure user data is not exposed or misused. Robust protocols, intrusion detection, and regular updates are critical to securing sensitive communication over wireless networks.

 
A Network Security Policy defines guidelines and rules to protect a network’s integrity, confidentiality, and availability. It outlines access controls, encryption standards, monitoring practices, and incident response protocols. By addressing risks, user responsibilities, and compliance requirements, it ensures secure operations, mitigates threats, and safeguards sensitive data, serving as a foundation for an organization’s cybersecurity framework.
 

Secure Mobile Agents and Mobile Code ensure safe execution of code that moves between devices or systems in a network. Security measures protect against code tampering, unauthorized access, and malicious activities. Techniques include authentication, encryption, sandboxing, and digital signatures. These safeguards enable trusted, flexible solutions in applications like distributed computing, e-commerce, and autonomous system management.

Trusted Computing and Management ensure secure operations by embedding trust into hardware and software systems. Technologies like Trusted Platform Modules (TPMs) enable secure boot, encryption, and authentication. Trusted management oversees system policies, resource allocation, and secure updates. Together, they protect against tampering, malware, and unauthorized access, ensuring reliability in critical sectors like finance, healthcare, and defense.
 
Network resiliency ensures a network can withstand and recover from failures, attacks, or disruptions, maintaining availability and performance. It involves redundancy, fault tolerance, and robust infrastructure. Network security protects against unauthorized access, data breaches, and cyber threats using firewalls, encryption, and intrusion detection. Together, resiliency and security ensure a network remains functional, reliable, and secure in the face of adversities. 
Database, application, and web security focus on protecting data, software, and online platforms from unauthorized access, manipulation, and threats. Techniques include encryption, access control, and regular patching for databases; secure coding practices and authentication for applications; and measures like firewalls, SSL/TLS, and vulnerability testing for web security. These ensure confidentiality, integrity, and availability in modern digital environments.
Blockchain technology is a decentralized, distributed ledger that securely records transactions across multiple computers. It ensures transparency, immutability, and trust without relying on a central authority. Each “block” contains transaction data, and blocks are linked in a “chain,” making tampering difficult. Blockchain is used in cryptocurrencies, supply chain management, and secure data sharing, revolutionizing digital transactions and record-keeping.