Masquerade detection on GUI-based Windows systems

Agrawal, Arshi; Stamp, Mark

doi:10.1504/ijsn.2015.068409

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Cited by 4 publications

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“…D. Lin and M. Stamp [7] explore shortcomings of hidden markov model (HMM) based detection approach. Similar techniques have been successfully applied for masquerade detection [8]. Singular value decomposition has been exercised in order to detect metamorphic malware [9].…”

Section: Related Workmentioning

confidence: 99%

Measuring Malware Evolution Using Support Vector Machines

Wadkar

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Section: Related Workmentioning

confidence: 99%

Measuring Malware Evolution Using Support Vector Machines

Wadkar

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A Conceptual Hybrid Model of Deep Convolutional Neural Network (DCNN) and Long Short-Term Memory (LSTM) for Masquerade Attack Detection

Adam

Adebukola

Abayomi‐Alli

et al. 2021

Communications in Computer and Information Science

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Colour image encryption based on cross-coupled chaotic map and fractional order chaotic systems

Paral

Dasgupta

Bhattacharya

2014

2014 International Conference on Communication and Signal Processing

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This paper presents a colour image encryption algorithm based on cross-coupled chaotic map and fractional order chaotic systems. Firstly the algorithm employs the cross coupled chaotic skew tent map to perform the shuffling operation, and then uses the fractional order versions of Lorenz's system and Chen's system to disturb image pixel intensity values. Fractional order extensions of the chaotic systems provides a much larger key-space than their original integer order versions. The encrypted image exhibits uniform histogram and a very high entropy for all the three colour channels. Also, the property of zero correlation is satisfied by the intensity values of adjacent pixels in each channel of the encrypted image. Moreover, the algorithm possesses a key-space which is large enough to resist all possible kinds of statistical attacks. Theoretical analysis and experimental results thus demonstrate that the proposed scheme has an excellent efficiency and satisfactory security attributes.However, solving fractional order differential equations is a com putationally heavy process. Some efficient computing techniques are successfully employed to deal with this problem, so that the encryption-decryption process is executed reasonably fast.

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Masquerade detection on GUI-based Windows systems

Cited by 4 publications

References 14 publications

Measuring Malware Evolution Using Support Vector Machines

Measuring Malware Evolution Using Support Vector Machines

A Conceptual Hybrid Model of Deep Convolutional Neural Network (DCNN) and Long Short-Term Memory (LSTM) for Masquerade Attack Detection

Colour image encryption based on cross-coupled chaotic map and fractional order chaotic systems

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