Md. Mokammel Haque
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View article: A rule-based machine learning model for financial fraud detection
A rule-based machine learning model for financial fraud detection Open
Financial fraud is a growing problem that poses a significant threat to the banking industry, the government sector, and the public. In response, financial institutions must continuously improve their fraud detection systems. Although prev…
View article: Solving blockchain trilemma using off‐chain storage protocol
Solving blockchain trilemma using off‐chain storage protocol Open
Trilemma in blockchain refers to the infamous problem of simultaneously not delivering the three critical aspects of a ledger: security, scalability, and decentralisation. While security and scalability hinder decentralisation, security is…
View article: Driving maneuver classification from time series data: a rule based machine learning approach
Driving maneuver classification from time series data: a rule based machine learning approach Open
View article: A Modified Key Sifting Scheme With Artificial Neural Network Based Key Reconciliation Analysis in Quantum Cryptography
A Modified Key Sifting Scheme With Artificial Neural Network Based Key Reconciliation Analysis in Quantum Cryptography Open
Quantum Cryptography emerged from the limitations of classical cryptography. It will play a vital role in information security after the availability of expected powerful quantum computers. Still many quantum primitives like quantum money,…
View article: A Comparative Analysis of Semi-Supervised Learning in Detecting Burst Header Packet Flooding Attack in Optical Burst Switching Network
A Comparative Analysis of Semi-Supervised Learning in Detecting Burst Header Packet Flooding Attack in Optical Burst Switching Network Open
This paper presents a comparative analysis of four semi-supervised machine learning (SSML) algorithms for detecting malicious nodes in an optical burst switching (OBS) network. The SSML approaches include a modified version of K-means clus…
View article: Driving Maneuver Classification Using Domain Specific Knowledge and Transfer Learning
Driving Maneuver Classification Using Domain Specific Knowledge and Transfer Learning Open
With the increasing number of vehicles, the usage of technology has also been increased in the transportation system. Although automobile companies are using advanced technologies to develop high performing transports, traffic safety still…
View article: A Data Change Rule Based Empirical Framework for Labeling Unlabeled Time Series Driving Data
A Data Change Rule Based Empirical Framework for Labeling Unlabeled Time Series Driving Data Open
Most of the driving maneuver classification methodsfollow supervised learning techniques and utilize ground truth in order to train classifiers. However, collecting ground truth is the most troublesome, expensive, and significant task of c…
View article: A Data Change Rule Based Empirical Framework for Labeling Unlabeled Time Series Driving Data
A Data Change Rule Based Empirical Framework for Labeling Unlabeled Time Series Driving Data Open
Most of the driving maneuver classification methodsfollow supervised learning techniques and utilize ground truth in order to train classifiers. However, collecting ground truth is the most troublesome, expensive, and significant task of c…
View article: An approach towards data change rule based classification of driving maneuver with LSTM network
An approach towards data change rule based classification of driving maneuver with LSTM network Open
The proposed work develops a Long Short Term Memory (LSTM) model for multi class classification of driving maneuver from sensor fusion time series dataset. The work also analyzes the significance of sensor fusion data change rule and utili…
View article: An approach towards data change rule based classification of driving maneuver with LSTM network
An approach towards data change rule based classification of driving maneuver with LSTM network Open
The proposed work develops a Long Short Term Memory (LSTM) model for multi class classification of driving maneuver from sensor fusion time series dataset. The work also analyzes the significance of sensor fusion data change rule and utili…
View article: Semi-supervised learning approach using modified self-training algorithm to counter burst header packet flooding attack in optical burst switching network
Semi-supervised learning approach using modified self-training algorithm to counter burst header packet flooding attack in optical burst switching network Open
Burst header packet flooding is an attack on optical burst switching (OBS) network which may cause denial of service. Application of machine learning technique to detect malicious nodes in OBS network is relatively new. As finding sufficie…
View article: Elliptic curve and pseudo-inverse matrix based cryptosystem for wireless sensor networks
Elliptic curve and pseudo-inverse matrix based cryptosystem for wireless sensor networks Open
Applying asymmetric key security to wireless sensor network (WSN) has been challenging task for the researcher of this field. One common trade-off is that asymmetric key architecture does provide good enough security than symmetric key but…
View article: An improved fitness function for automated cryptanalysis using genetic algorithm
An improved fitness function for automated cryptanalysis using genetic algorithm Open
Genetic Algorithm (GA) is a popular desire for the researchers for creating an automated cryptanalysis system. GA strategy is useful for many problems. Genetic Algorithms try to solve problems by using genetic processes. Different techniqu…
View article: Analyzing Progressive-BKZ Lattice Reduction Algorithm
Analyzing Progressive-BKZ Lattice Reduction Algorithm Open
BKZ and its variants are considered as the most efficient lattice reduction algorithms compensating both the quality and runtime.Progressive approach (gradually increasing block size) of this algorithm has been attempted in several works f…