The Influence of Artificial Intelligence on E-Governance and Cybersecurity in Smart Cities A Stakeholder’s Perspective. Shakas Technologies ( Galaxy of Knowledge) #11/A 2nd East Main Road, Gandhi Nagar, Vellore - 632006. Mobile : +91-9500218218 / 8220150373| land line- 0416- 3552723 Shakas Training & Development | Shakas Sales & Services | Shakas Educational Trust|IEEE projects | Research & Development | Journal Publication | Email : info@shakastech.com | shakastech@gmail.com | website: www.shakastech.com​ Facebook: https://www.facebook.com/pages/Shakas-Technologies

1. Base paper Title: The Influence of Artificial Intelligence on E-Governance and Cybersecurity
in Smart Cities: A Stakeholder’s Perspective
Modified Title: Artificial Intelligence's Impact on Cybersecurity and E-Government in Smart
Cities: A Stakeholder's View
Abstract
Artificial intelligence (AI) has been identified as a critical technology of Fourth
Industrial Revolution (Industry 4.0) for protecting computer network systems against cyber-
attacks, malware, phishing, damage, or illicit access. AI has potential in strengthening the cyber
capabilities and safety of nationstates, local governments, and non-state entities through e-
Governance. Existing research provides a mixed association between AI, e-Governance, and
cybersecurity; however, this relationship is believed to be context-specific. AI, e-Governance,
and cybersecurity influence and are affected by various stakeholders possessing a variety of
knowledge and expertise in respective areas. To fill this context specific gap, this study
investigates the direct relationship between AI, e-Governance, and cybersecurity. Furthermore,
this study examines the mediating role of e-Governance between AI and cybersecurity and
moderating effect of stakeholders involvement on the relationship between AI, e-Governance,
and cybersecurity. The results of PLS-SEM path modeling analysis revealed a partial mediating
impact of e-Governance between AI and cybersecurity. Likewise, moderating influence of
stakeholders involvement was discovered on the relationship between AI and e-Governance,
as well as between e-Governance and cybersecurity. It implies that stakeholders involvement
has vital significance in AI and e-Governance because all stakeholders have interest in vibrant,
transparent, and secured cyberspace while using e-services. This study provides practical
implications for governmental bodies of smart cities for strengthening their cybersecurity
measures.
Existing System
Cybersecurity has become a critical and vital topic that requires protecting the computer
network from potential threats in today’s modern world [1], [2]. A cyber-attack is a deliberate
attack targeting computer networks, relevant data, programs, and electronic information,
resulting in sub-national entities inciting violence towards noncombatant opponents. As
technology develops, so do cyber threats, necessitating the development of new prevention

2. strategies [3], [4]. It has been alleged that cyber-attacks have become more prevalent in the
industrial sector, resulting in serious infrastructure damage and significant monetary loss. The
rise of cyber-attacks among organizations is primarily due to the growing reliance on online
technologies that enable the storage of personal and economic data [5]. Consequently, it is
acknowledged as perhaps the most critical problem in the modern context because it creates
economic loss and discloses confidential information. Cyberattacks include phishing, denial of
service, malware, and ransomware infestations, which can harm anybody in society [6]. Cyber-
attacks also have a significant psychological impact on humans, producing unhappiness,
tension, and stress among people [7]. Artificial intelligence (AI) applications can positively
influence the cyber capabilities and national security of the sovereign nation, regional
government entities, and non-state organizations [8], [9]. AI is a reliable technique for
mitigating cyber-attack effects [10]. AI is machine intelligence that executes activities
connected with intelligence [11]. Human professionals’ expertise is integrated for strategic
planning and decision-making [12], including making medical diagnoses and getting insights
from expertise in concluding.
Drawback in Existing System
 Security and Privacy Concerns:
Data Security: AI systems require large amounts of data for training and operation,
raising concerns about the security of sensitive information.
 Regulatory and Legal Challenges:
Lack of Regulations: The rapid advancement of AI technology may outpace the
development of regulatory frameworks, leading to legal and ethical challenges.
Liability Issues: Determining responsibility in case of AI-related failures or
incidents may be complex, leading to legal uncertainties.
 Infrastructure and Implementation Challenges:
Cost: Implementing AI technologies can be expensive, and stakeholders may be
concerned about the financial burden associated with building and maintaining such
systems.
Integration Issues: Integrating AI into existing e-governance and cybersecurity
frameworks may be challenging, requiring substantial changes and updates.
 Limited Public Understanding:
Public Trust: Stakeholders may have concerns about the public's understanding of
AI technologies, potentially leading to mistrust and resistance to adoption.

3. Education and Awareness: There may be a lack of awareness and understanding
among stakeholders, including citizens and government officials, regarding the
capabilities and limitations of AI.
Proposed System
 Enhanced Decision-Making:
Utilize AI algorithms for data-driven decision-making in e-governance processes,
aiding government stakeholders in policy formulation, urban planning, and resource
allocation.
 Transparency and Explainability:
Develop AI algorithms that prioritize transparency and explainability to address
concerns related to algorithmic bias, decision opacity, and to foster trust among
stakeholders.
 User-Centric Security Features:
AI-driven security features that focus on user behavior analytics, ensuring that
citizens are protected from potential threats while using smart city services.
 Public Awareness Campaigns:
Launch public awareness campaigns to inform citizens about the AI-driven
improvements in e-governance and cybersecurity, addressing concerns and building
trust.
Algorithm
 Regulatory Bodies:
Algorithmic Audits: Regulatory bodies may mandate periodic audits of AI
algorithms to ensure compliance with ethical standards, legal requirements, and the
protection of citizens' rights.
 Cybersecurity Researchers:
Adversarial AI Detection: Researchers can develop algorithms that detect and
prevent adversarial attacks on AI systems, safeguarding the integrity of algorithms
used in cybersecurity.

4.  Security Agencies:
Advanced Threat Detection: Security agencies benefit from AI algorithms that can
analyze vast amounts of data in real-time to identify and respond to cyber threats
promptly.
Advantages
 Government Stakeholders:
Efficient Decision-Making: AI enables governments to analyze vast datasets
quickly, facilitating more informed and data-driven decision-making in areas such as
resource allocation, urban planning, and policy formulation.
 IT Departments:
Automation of Routine Tasks: AI automates routine cybersecurity tasks, allowing
IT professionals to focus on more complex issues, improving overall efficiency and
reducing response times.
 Private Sector:
Innovation and Business Opportunities: AI-driven cybersecurity solutions create
new opportunities for the private sector to innovate and develop advanced security
products and services.
 AI Developers and Researchers:
Adaptive Security Systems: Researchers can develop AI algorithms that
continuously learn and adapt to emerging cyber threats, creating dynamic and
adaptive security systems.
Software Specification
 Processor : I3 core processor
 Ram : 4 GB
 Hard disk : 500 GB
Software Specification
 Operating System : Windows 10 /11
 Frond End : Python
 Back End : Mysql Server
 IDE Tools : Pycharm