{"id":23545,"date":"2024-12-16T03:02:55","date_gmt":"2024-12-15T20:02:55","guid":{"rendered":"https:\/\/stei.itb.ac.id\/?page_id=23545"},"modified":"2024-12-16T08:04:42","modified_gmt":"2024-12-16T01:04:42","slug":"poster19","status":"publish","type":"page","link":"https:\/\/stei.itb.ac.id\/en\/poster19\/","title":{"rendered":"Concept and Framework of Privacy Engineering"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid kepala vc_custom_1734236300248 vc_row-has-fill\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"container\" ><div class=\"vc_row wpb_row vc_inner vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"vc_btn3-container vc_btn3-inline vc_do_btn\" ><button class=\"vc_general vc_btn3 vc_btn3-size-lg vc_btn3-shape-rounded vc_btn3-style-modern vc_btn3-icon-left vc_btn3-color-white\" onclick=\"history.back()\"><i class=\"vc_btn3-icon fas fa-home\"><\/i> Kembali ke Beranda<\/button><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1734170418007\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p><strong>Prof. Dr. -ing. Ir. Suhardi, MT.<\/strong><br \/>\nSchool of Electrical Engineering and Informatics<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1734168902943\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h5><strong>Abstract<\/strong><\/h5>\n<p>This article presents a conceptual framework and methodology for enhancing access management in secure systems. The framework integrates established theories and practices in privacy engineering, risk management, and compliance to address the growing challenges of managing sensitive information, includes personal data, in complex environments. It highlights key building blocks, including governance, risk management, compliance, data security, and continuous monitoring, to create a holistic approach to safeguarding sensitive data. Each component is designed to ensure compliance with legal requirements while optimizing security measures through technical and organizational strategies. Furthermore, the article identifies gaps in existing frameworks and proposes a structured pathway for future research to explore emerging technologies, such as artificial intelligence and blockchain, to further strengthen access control mechanisms. This research contributes to the field by offering a scalable, adaptable framework building blocks that bridges theory and practice, providing practical insights for organizations striving to improve access management in an increasingly dynamic regulatory and technological landscape.<\/p>\n<p>Keyword: Research 1, Research 2, , Research 3.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1734291391302\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h5><strong>Introduction<\/strong><\/h5>\n<p>The phenomenon of data privacy in the current era of digital transformation has become hotly discussed, especially after the Cambridge Analytica case which processed the personal data of Facebook users in early 2018. The issue of personal data had been discussed 38 years earlier, namely in the OECD international forum in the Guidelines Governing the Protection of Privacy and Transborder Flow of Personal Data in 1980. The main concept of personal data is the concept of privacy, where an individual has the right to close or open space in his life Data privacy The use of Big Data technology that is increasing even in every device and digital system used today makes personal data and information increasingly exposed and raises the risk of data privacy violations. Since the approval of the General Data Protection Regulation (GDPR) by the European Parliament, the European Council, and the European Commission in 2015, new challenges have emerged for organizations to implement the GDPR including when data controllers need to inform third parties of a data subject&#8217;s request for data erasure, which can be burdensome or impossible in some scenarios, especially when coordinating with external parties.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1734236752660 vc_row-o-content-top vc_row-flex\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element vc_custom_1734310730772\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h5><strong>Research Method<\/strong><\/h5>\n<p>The discussion about privacy engineering in this study refers to the guidelines for systematic literature review contained in Suhardi et al and Henriette et al.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1734169842459\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element vc_custom_1734310739171\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h5><strong>Discussion &amp; Result<\/strong><\/h5>\n<p>\u2022 Simulation depicts the input voltage of 36 V represents the output voltage of a photovoltaic system. The simulation control utilized pulse width modulation (PWM) signals to regulate the switches with specific duty cycles. A duty cycle value of 0.67 for the first stage of the converter. The duty cycle for the second stage was set to 0.75 to achieve high voltage amplification. The switching frequency was set to 20 kHz.<br \/>\n\u2022 For the predetermined parameters, an output current of 0.32A operates the converter in boundary mode. At this boundary point, the converter operates at a power of 150W. The shape of the inductor current can be observed in the three operating modes as depicted in Fig. 2.<br \/>\n\u2022 It can be observed that efficiency decreases as the converter\u2019s power increases. In other words, in CCM, the efficiency decreases. This is because at higher power levels, the losses in the converter\u2019s components also increase. These losses are proportional to the increase in converter power.<br \/>\n\u2022 Additionally, in DCM, soft switching occurs, resulting in a significant reduction in switch losses. This is what leads to a notable increase in efficiency between BCM and DCM, despite being at similar output power levels.<br \/>\n\u2022 The loss characteristics of BCM and CCM are similar, hence the similarity in their loss calculations.<br \/>\n\u2022 The efficiency trend for different output currents and power values is depicted in Fig. 3.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n\n\t<div  class=\"wpb_single_image wpb_content_element vc_align_center wpb_content_element vc_custom_1734310760346\">\n\t\t\n\t\t<figure class=\"wpb_wrapper vc_figure\">\n\t\t\t<div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"500\" height=\"109\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/19.-Pr.-Dr.jpg\" class=\"vc_single_image-img attachment-full\" alt=\"\" title=\"19. Pr. Dr\" \/><\/div><figcaption class=\"vc_figure-caption\">Picture 1. SLR step<\/figcaption>\n\t\t<\/figure>\n\t<\/div>\n\n\t<div class=\"wpb_text_column wpb_content_element vc_custom_1734310782168\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p>After performing a keyword-based search, the subsequent step involved study selection and quality assessment, yielding twenty-six papers that met the eligibility criteria. The screening process revealed that many articles were excluded due to failure to meet the specified criteria. Although some articles included the terms &#8220;privacy engineering&#8221; and &#8220;privacy compliance,&#8221; their content did not establish a correlation between these concepts. The accepted articles were those explicitly incorporating both &#8220;privacy engineering&#8221; and &#8220;privacy compliance&#8221; as keywords. The data presentation procedure involves a descriptive analysis of the collected articles. One categorization technique employed is grouping articles by publication year, article type, and research methodology used. Table 1 categorizes articles by type.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n\n\t<div  class=\"wpb_single_image wpb_content_element vc_align_center wpb_content_element vc_custom_1734310925485\">\n\t\t\n\t\t<figure class=\"wpb_wrapper vc_figure\">\n\t\t\t<div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"501\" height=\"132\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/19.-Pr.-Dr-1.jpg\" class=\"vc_single_image-img attachment-full\" alt=\"\" title=\"19. Pr. Dr\" \/><\/div><figcaption class=\"vc_figure-caption\">Tabel 1. Article type<\/figcaption>\n\t\t<\/figure>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1734194817030\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h5><strong>Discussion &amp; Result<\/strong><\/h5>\n<p>After conducted privacy engineering components identification, we summarize the existed components into eleven core components, as described below :<\/p>\n<p>1. Privacy by Design and Privacy by Default This concept is the basis of privacy engineering. Every product or service developed must consider privacy from the initial design stage (privacy by design) and ensure privacy settings that protect users automatically (privacy by default)<br \/>\n2. Data Minimization<br \/>\nThis component requires that the system only collects and stores data that is necessary for the specific purpose identified.<br \/>\n3. Risk Assessment and Threat Modelling Risk assessment and threat modeling is a process that evaluates potential risks to privacy and personal data in a system.<br \/>\n4. Access Control and Authentication Access control and authentication ensure that only authorized parties can access personal data.<br \/>\n5. Data Security Measures<br \/>\nData security is an essential component of protecting personal data from loss, leakage, or unauthorized access.<br \/>\n6. Data Anonymization and Pseudonymization Anonymization and pseudonymization are techniques to reduce the association of data with a specific individual.<br \/>\n7. User Consent and Transparency Mechanisms<br \/>\nTransparency and user consent are critical components to ensuring users are aware of the data being collected and how it will be used.<br \/>\n8. Privacy Incident Response and Breach Management<br \/>\nEvery privacy framework should have an incident response plan in place to handle data breaches or privacy incidents.<br \/>\n9. Data Retention and Disposal Policies Data retention policies determine how long personal data will be retained and ensure that data that is no longer needed is securely deleted.<br \/>\n10. Ongoing Monitoring and Auditing Continuous monitoring and auditing ensure that privacy standards are always met and policies are implemented consistently<br \/>\n11. Privacy Training and Awareness Programs<br \/>\nPrivacy awareness and training for all staff is an important component of ensuring that all parties understand and properly implement the privacy policy.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1734194817030\"><div class=\"wpb_column vc_column_container vc_col-sm-8\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h5><strong>Conclusion<\/strong><\/h5>\n<p>\u2022 The results show that by implementing DCM operation, the proposed converter achieves the highest efficiency.<br \/>\n\u2022 In the proposed converter, the dominant source of losses is attributed to the inductor, accounting for approximately 62% of the total losses in DCM.<br \/>\n\u2022 The operation of DCM has demonstrated a substantial reduction in switching losses, leading to a notable increase in efficiency.<\/p>\n<p>Improving Efficiency of Multi-phase Cascaded DC-DC Boost Converters in Discontinuous Conduction Mode Suitable for Renewable Energy Application,<br \/>\nMuhammad Farras Muzakki, Arwindra Rizqiawan, Jihad Furqani International Journal of Power Electronics and Drive System (IJPEDS) (Under review, 1st round revision stage)<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-4\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div  class=\"wpb_single_image wpb_content_element vc_align_center wpb_content_element vc_custom_1734311034208\">\n\t\t\n\t\t<figure class=\"wpb_wrapper vc_figure\">\n\t\t\t<div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"621\" height=\"708\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/19.-Pr.-Drb.jpg\" class=\"vc_single_image-img attachment-full\" alt=\"\" title=\"19. Pr. Drb\" \/><\/div><figcaption class=\"vc_figure-caption\">Tabel 1. Privacy Engineering Components Governance Building Block<\/figcaption>\n\t\t<\/figure>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1734194817030\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h5><strong>Conclusion<\/strong><\/h5>\n<p>By leveraging systematic access strategies, the results are six modular building blocks, namely governance building block, risk management building block, compliance and legal building block, data security and access control building block, data minimization and management building block, continuous monitoring and improvement building block. Additionally, the review highlights the need for multidisciplinary collaboration between technical, legal, and ethical experts to address privacy challenges comprehensively. This holistic approach will enable organizations to not only comply with regulations but also demonstrate ethical and responsible handling of personal data<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"Kembali ke Beranda Prof. Dr. -ing. Ir. Suhardi, MT. Sekolah Teknik Elektro dan Informatika Abstract This article presents a conceptual framework and methodology for enhancing access management in secure systems. 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