• Title/Summary/Keyword: Oversight Mechanisms

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Policy measures to improve the efficiency of the supervisory system for Regulatory Agencies (감찰 감사조직에 대한 감독제도 효율화 정책방안)

  • Kiyeung Kim;Namje Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.721-727
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    • 2023
  • To prevent corruption, waste, and abuse in national governance, audit agencies are established and granted significant authority and responsibilities, including ensuring their independence. However, questions have been raised about who oversees these agencies and addresses issues or misconduct that may arise within them. In the United States, to address this oversight concern, the Inspector General Act was enacted, creating an audit community called the Inspector General Community. This community comprises various audit agencies and promotes compliance with standards and investigates potential wrongdoing by audit personnel. It fosters a culture of independence and collaboration among diverse stakeholders, such as Congress, the President, the Government Accountability Office, and agency leadership. In light of this successful approach in the United States, this research seeks to study and apply similar oversight mechanisms to audit agencies in South Korea. There is a need to develop the relationship between oversight bodies and parliament in terms of improving the efficiency and effectiveness of government operations. Accordingly, this paper studies this American case and presents efficient policy measures for the supervisory system to be applied to Korea's audit organizations. It aims to identify policy insights for effective supervision, ensuring independence, and fostering a collaborative culture within our audit institutions. Therefore, domestic interest and research on this matter are essential to enhance our audit mechanisms and achieve efficient governance.

Congressional Control of Bureaucracy in the United States: Ex Ante vs. Ex Post Control Mechanisms

  • Park, Hong Min
    • American Studies
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    • v.43 no.1
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    • pp.115-143
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    • 2020
  • The U.S. Congress has been known to effectively control the bureaucracy. On one hand, Congress adjusts the degree of discretion provided to the bureaucracy when making agencies or legislation: ex ante control. On the other hand, it also performs the oversight activities to punish or correct undesirable behaviors of bureaucrats: ex post control. While the dynamics of each control mechanism is widely examined theoretically, few have attempted to empirically investigate this with a special attention to partisan politics in Congress. I attempt to fill this gap by measuring the two types of control mechanisms, testing theoretical assertions, and analyzing the dynamics under the two control mechanisms.

Hybridized Decision Tree methods for Detecting Generic Attack on Ciphertext

  • Alsariera, Yazan Ahmad
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.56-62
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    • 2021
  • The surge in generic attacks execution against cipher text on the computer network has led to the continuous advancement of the mechanisms to protect information integrity and confidentiality. The implementation of explicit decision tree machine learning algorithm is reported to accurately classifier generic attacks better than some multi-classification algorithms as the multi-classification method suffers from detection oversight. However, there is a need to improve the accuracy and reduce the false alarm rate. Therefore, this study aims to improve generic attack classification by implementing two hybridized decision tree algorithms namely Naïve Bayes Decision tree (NBTree) and Logistic Model tree (LMT). The proposed hybridized methods were developed using the 10-fold cross-validation technique to avoid overfitting. The generic attack detector produced a 99.8% accuracy, an FPR score of 0.002 and an MCC score of 0.995. The performances of the proposed methods were better than the existing decision tree method. Similarly, the proposed method outperformed multi-classification methods for detecting generic attacks. Hence, it is recommended to implement hybridized decision tree method for detecting generic attacks on a computer network.