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All Journal Security Intelligence Terrorism Journal (SITJ)
Al Waro'i, Muhammad Nur Abdul Latif
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Law, Crime, Criminology & Criminal Justice Social Sciences

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Enhancing Security through Intelligent Threat Detection and Response: The Integration of Artificial Intelligence in Cyber-Physical Systems Al Waro'i, Muhammad Nur Abdul Latif
Security Intelligence Terrorism Journal (SITJ) Vol. 1 No. 1 (2024)
Publisher : Pusat Studi Politik dan Kebijakan Strategis Indonesia (POLKASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70710/sitj.v1i1.1

Abstract

Cyber-Physical Systems (CPS) play a crucial role in critical industries such as manufacturing, transportation, energy, and healthcare by integrating the physical and digital worlds. However, the complexity and interconnectivity of CPS with the global network increase their vulnerability to cyber-attacks. This research explores the benefits of implementing artificial intelligence (AI) in the context of cyber-physical systems (CPS) to detect and respond to security threats. This study uses machine learning and deep learning techniques to analyze sensor data and system threats. The data analysis methods encompass predictive modeling and evaluating AI algorithms' performance in detecting threats. The research data is obtained from relevant literature reviews and secondary data analysis. The research findings indicate that integrating AI in CPS can enhance the success rate of threat detection, prompt response, and accuracy in threat identification. By enabling the system to learn from previous experiences, AI can reduce the number of false positives and false negatives while providing automated real-time responses to threats without human intervention. The research concludes that AI has great potential to enhance security in CPS by providing more efficient and effective solutions to address increasingly complex cyber threats. The findings of this study are expected to provide insights and recommendations that can be applied in developing CPS security systems in the future.
False Reality: Deepfakes in Terrorist Propaganda and Recruitment Al Waro'i, Muhammad Nur Abdul Latif
Security Intelligence Terrorism Journal (SITJ) Vol. 1 No. 1 (2024)
Publisher : Pusat Studi Politik dan Kebijakan Strategis Indonesia (POLKASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70710/sitj.v1i1.5

Abstract

Deepfake technology, which leverages artificial intelligence to create hyper-realistic digital fabrications, has emerged as a significant threat across various domains, notably in terrorism. This review critically examines the exploitation of deepfakes in terrorist propaganda and recruitment, presenting a systematic analysis of the technical mechanisms behind their creation and detection, historical and contemporary propaganda methods, and their psychological impacts on audiences. The study identifies key advancements in deepfake detection technologies, such as ensemble learning and convolutional neural networks, which are crucial in distinguishing real from synthetic media. Furthermore, the review highlights the importance of public awareness and psychological resilience as vital countermeasures against deepfake manipulation. Despite technological advancements, significant challenges remain, including the development of real-time detection systems capable of operating in diverse and uncontrolled environments and a comprehensive understanding of the psychological processes affected by deepfake propaganda. The review underscores the urgent need for robust policy frameworks and international cooperation to address the ethical, legal, and security implications of deepfake technology. By integrating technical, psychological, and policy perspectives, this study provides a holistic understanding of deepfake technology's role in modern terrorism and offers insights for developing effective countermeasures. The comprehensive approach aims to contribute to the creation of robust strategies to mitigate the misuse of deepfake technology, ensuring a safer and more trustworthy digital environment.
Transforming Intelligence Operations in Indonesia: Challenges and Opportunities in the Digital Age Al Waro'i, Muhammad Nur Abdul Latif
Security Intelligence Terrorism Journal (SITJ) Vol. 2 No. 4 (2025)
Publisher : Pusat Studi Politik dan Kebijakan Strategis Indonesia (POLKASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70710/sitj.v2i4.79

Abstract

The digital revolution has transformed global intelligence paradigms, making advanced technology essential for modernizing national security systems. This paper discusses the integration of digital technologies, such as Artificial Intelligence (AI), Machine Learning (ML), big data analytics, and cybersecurity, into Indonesia's intelligence operations. Traditionally, Indonesia's intelligence relied on Human Intelligence (HUMINT) and Signal Intelligence (SIGINT), but the rise of digital threats such as cyberattacks, terrorism, and social media-driven radicalization now demands the adoption of advanced technologies to improve detection and response effectiveness. This study uses a qualitative methodology and conducts an extensive literature review of academic articles, policy reports, and case studies to explore the application of digital technologies in Indonesia’s intelligence context. Key findings reveal that, although AI, big data, and other digital tools present significant potential, their integration is hindered by inadequate infrastructure, data privacy and security concerns, and cultural resistance within the intelligence community. The study recommends improving digital infrastructure, strengthening cybersecurity policies, and fostering public-private partnerships and international collaborations to support Indonesia’s intelligence modernization efforts. This research emphasizes the need for continued investment in technology and inter-agency cooperation to enhance Indonesia’s intelligence capabilities, ensuring that the country is prepared to tackle 21st-century security challenges.
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