Niraj Thapa - Academia.edu (original) (raw)
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Papers by Niraj Thapa
Future Internet
The development of robust anomaly-based network detection systems, which are preferred over stati... more The development of robust anomaly-based network detection systems, which are preferred over static signal-based network intrusion, is vital for cybersecurity. The development of a flexible and dynamic security system is required to tackle the new attacks. Current intrusion detection systems (IDSs) suffer to attain both the high detection rate and low false alarm rate. To address this issue, in this paper, we propose an IDS using different machine learning (ML) and deep learning (DL) models. This paper presents a comparative analysis of different ML models and DL models on Coburg intrusion detection datasets (CIDDSs). First, we compare different ML- and DL-based models on the CIDDS dataset. Second, we propose an ensemble model that combines the best ML and DL models to achieve high-performance metrics. Finally, we benchmarked our best models with the CIC-IDS2017 dataset and compared them with state-of-the-art models. While the popular IDS datasets like KDD99 and NSL-KDD fail to repre...
Nepalese Journal of Radiology
Urinary bladder diverticulum presenting as an inguinal hernia is an uncommon condition found in a... more Urinary bladder diverticulum presenting as an inguinal hernia is an uncommon condition found in about 1-5% of inguinal hernia. Long standing increase of the intravesical pressure resulting from urinary bladder outlet obstruction can cause both secondary bladder diverticula and groin hernias. We present a case of urinary bladder diverticulum herniating through the left inguinal canal, which was confirmed by micturating cystourethrogram. Although these conditions are usually, diagnosed intraoperatively, radiological diagnosis still holds its utmost importance to improve the overall management.
Future Internet
The development of robust anomaly-based network detection systems, which are preferred over stati... more The development of robust anomaly-based network detection systems, which are preferred over static signal-based network intrusion, is vital for cybersecurity. The development of a flexible and dynamic security system is required to tackle the new attacks. Current intrusion detection systems (IDSs) suffer to attain both the high detection rate and low false alarm rate. To address this issue, in this paper, we propose an IDS using different machine learning (ML) and deep learning (DL) models. This paper presents a comparative analysis of different ML models and DL models on Coburg intrusion detection datasets (CIDDSs). First, we compare different ML- and DL-based models on the CIDDS dataset. Second, we propose an ensemble model that combines the best ML and DL models to achieve high-performance metrics. Finally, we benchmarked our best models with the CIC-IDS2017 dataset and compared them with state-of-the-art models. While the popular IDS datasets like KDD99 and NSL-KDD fail to repre...
Nepalese Journal of Radiology
Urinary bladder diverticulum presenting as an inguinal hernia is an uncommon condition found in a... more Urinary bladder diverticulum presenting as an inguinal hernia is an uncommon condition found in about 1-5% of inguinal hernia. Long standing increase of the intravesical pressure resulting from urinary bladder outlet obstruction can cause both secondary bladder diverticula and groin hernias. We present a case of urinary bladder diverticulum herniating through the left inguinal canal, which was confirmed by micturating cystourethrogram. Although these conditions are usually, diagnosed intraoperatively, radiological diagnosis still holds its utmost importance to improve the overall management.