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KavindaDulhan

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In this repository, I implemented several kind of cyber attacks on stolen example databases. The attacks include Brute-force attack, Dictionary attack, Rainbow table attacks, another attack on a custom implemented algorithm.

Eye-Diagrams-of-PAM-Signalling

Eye diagrams are used for visual analysis of the severity of inter symbol interference (ISI), accuracy of sampling timing extraction and noise immunity. In this report, eye diagrams are used to analyze the robustness of binary phase shift keying (BPSK) and 4-PAM (pulse amplitude modulation) digital communication systems. In task 1, a random bit sequence is generated and those bits are mapped to BPSK symbols. Impulse train of BPSK symbols was convoluted with a pulse shaping filter. Three pulses were used as the impulse response of the pulse shaping filter. They were sinc pulse, raised-cosine pulse with α = 0:5 and raised-cosine pulse with α = 1 where α is the roll-off factor. The impulse responses are shown in below Eye diagrams for those three transmit sequences were generated and the systems were compared as follows. After the task 1, additive white Gaussian noise (AWGN) is added to the transmit signals with specified bit energy to noise ratio. Finally, in task 3, 4-PAM system is used.. Then the eye diagrams are generated for the received signals with the presence of AWGN. Same pulse shaping filters as in task 1 are used.

MATLAB

Convolutional-Neural-Network-Assignments

Here are the assignments of Cousera course

Jupyter Notebook

Bandstop-filter-

MATLAB

Image_Proccessing

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Lossless_Data_Compression

Here I compressed some data using Huffman coding, Arithmetic coding and LZZW coding

MATLAB

COVID-19-x-rays-CNN-implementation

In this project I am implementing Convolutional Neural Network for detect COVID -19 using x-ray images.

Jupyter Notebook

Deep-Learning-assignments

Jupyter Notebook

KavindaDulhan/Cyber-Attack-Implementation

KavindaDulhan

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