Social networking mobile apps framework for organizing and facilitating charitable and voluntary activities in Malaysia

Mostafa, Salama A.; Shamala, Palaniappan; Obaid, Omar Ibrahim; Khalaf, Bashar Ahmed

doi:10.11591/eei.v9i2.2075

Cited by 13 publications

(11 citation statements)

References 20 publications

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“…In this method, the excessive activity provides the properties of comparative properties of separate time signals in permanent time signals. Excessive sampling activity [L-1] can be satisfied by adding N zero to samples [32]. In addition, CCDF generally assesses the likelihood of PAPR values.…”

Section: Ofdm Systemmentioning

confidence: 99%

“…Jawaha methods rely on the accuracy of the IL-PTS framework for the delivery of new networks, in which marine transmissions are not separated from IL-PTS networks, however, PAPR has been remotely reduced. Accordingly, this article introduces another mixing technique that can reduce the efficiency of PAPR, which aligns the PRPTS coordinate with a massive reduction in CC levels [31], [32].…”

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confidence: 99%

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A Hybrid Segmentation Pattern of Partial Transmission in Computer Networks to Reduce the Complexity Level

Hameed

Ahmed

Mahmood

2020

IJIE

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Partial transmission sequence (PTS) is seen as a related project in the framework of the Orthogonal Frequency Division ‎Multiplexing (OFDM) to suppress the medium to high Peak-to-Average Power Ratio problem. The PTS chart data is based on dividing the back into subdivisions and their weight by combining step-by-step factors. Despite the fact that PTS can reduce the high specifications. The Computational Complexity Level (CC) limits the scope of application to match PTS use with ground applications. In PTS, there are three main distribution schemes. Interleaving projects (IL-PTS), arbitrary and alternate (PR-PTS) and Ad-PTS. In this paper, another algorithm called the Hybrid Pseudo-Random and Interleaving Cosine Wave Shape ‎‎(H-PRC-PTS) is presented and the PR-PTS equilibrium is established by stabilizing the cousin waveform between languages (S-IL-C- PTS), which was suggested in the previous work. The results showed that the proposed algorithm could reduce the validity of PAPR as a PR-PTS scheme, although the CC level was significantly reduced.

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Section: Ofdm Systemmentioning

confidence: 99%

mentioning

confidence: 99%

A Hybrid Segmentation Pattern of Partial Transmission in Computer Networks to Reduce the Complexity Level

Hameed

Ahmed

Mahmood

2020

IJIE

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“…The available NSL-KDD dataset in [19][20][21] was utilized to evaluate the ANN model in this study. The NSL-KDD Dataset is the update version of 99KDD dataset [22][23][24]. The NSL-KDD was recorded according to a practical 125973 requests of a website in 2013.…”

Section: Testing Datasetmentioning

confidence: 99%

A multilayer perceptron artificial neural network approach for improving the accuracy of intrusion detection systems

Mohammed¹,

Arif²,

Ali³

2020

IJ-AI

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<p>Massive information has been transmitted through complicated network connections around the world. Thus, providing a protected information system has fully consideration of many private and governmental institutes to prevent the attackers. The attackers block the users to access a particular network service by sending a large amount of fake traffics. Therefore, this article demonstrates two-classification models for accurate intrusion detection system (IDS). The first model develops the artificial neural network (ANN) of multilayer perceptron (MLP) with one hidden layer (MLP1) based on distributed denial of service (DDoS). The MLP1 has 38 input nodes, 11 hidden nodes, and 5 output nodes. The training of the MLP1 model is implemented with NSL-KDD dataset that has 38 features and five types of requests. The MLP1 achieves detection accuracy of 95.6%. The second model MLP2 has two hidden layers. The improved MLP2 model with the same setup achieves an accuracy of 2.2% higher than the MLP1 model. The study shows that the MLP2 model provides high classification accuracy of different request types.</p>

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“…The false alarm and detection rate are fundamental in a thorough analysis of accuracy. Intrusion detection needs to be improved to reduce false alarms and increase detection speed [4], [5].…”

Section: Introductionmentioning

confidence: 99%

“…The aim is for the expert to select an activity that exploits the expected and predicted remuneration. With an excellent approach, an agent can quickly achieve a goal [2], [5].…”

Section: Introductionmentioning

confidence: 99%

A Machine Learning Approach for Improving the Performance of Network Intrusion Detection Systems

Azizan¹,

Mostafa²,

Foozy³

et al. 2021

AETiC

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Intrusion detection systems (IDS) are used in analyzing huge data and diagnose anomaly traffic such as DDoS attack; thus, an efficient traffic classification method is necessary for the IDS. The IDS models attempt to decrease false alarm and increase true alarm rates in order to improve the performance accuracy of the system. To resolve this concern, three machine learning algorithms have been tested and evaluated in this research which are decision jungle (DJ), random forest (RF) and support vector machine (SVM). The main objective is to propose a ML-based network intrusion detection system (ML-based NIDS) model that compares the performance of the three algorithms based on their accuracy and precision of anomaly traffics. The knowledge discovery in databases (KDD) methodology and intrusion detection evaluation dataset (CIC-IDS2017) are used in the testing which both are considered as a benchmark in the evaluation of IDS. The average accuracy results of the SVM is 98.18%, RF is 96.76% and DJ is 96.50% in which the highest accuracy is achieved by the SVM. The average precision results of the SVM is 98.74, RF is 97.96 and DJ is 97.82 in which the SVM got a higher average precision compared with the other two algorithms. The average recall results of the SVM is 95.63, RF is 97.62 and DJ is 95.77 in which the RF achieves the highest average of recall than SVM and DJ. In overall, the SVM algorithm is found to be the best algorithm that can be used to detect an intrusion in the system.

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Social networking mobile apps framework for organizing and facilitating charitable and voluntary activities in Malaysia

Cited by 13 publications

References 20 publications

A Hybrid Segmentation Pattern of Partial Transmission in Computer Networks to Reduce the Complexity Level

A Hybrid Segmentation Pattern of Partial Transmission in Computer Networks to Reduce the Complexity Level

A multilayer perceptron artificial neural network approach for improving the accuracy of intrusion detection systems

A Machine Learning Approach for Improving the Performance of Network Intrusion Detection Systems

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