Application of machine learning algorithms for android malware detection

M Kakavand, M Dabbagh… - Proceedings of the 2018 …, 2018 - dl.acm.org
As the popularity of Android smart devises increases, the battle of alleviating Android
malware has been considered as a crucial activity with the advent of new attacks including …

Effective dimensionality reduction of payload-based anomaly detection in TMAD model for HTTP payload

M Kakavand, N Mustapha, A Mustapha… - KSII Transactions on …, 2016 - koreascience.kr
Abstract Intrusion Detection System (IDS) in general considers a big amount of data that are
highly redundant and irrelevant. This trait causes slow instruction, assessment procedures …

O-ADPI: online adaptive deep-packet inspector using Mahalanobis distance map for web service attacks classification

M Kakavand, A Mustapha, Z Tan, SF Yazdani… - IEEE …, 2019 - ieeexplore.ieee.org
Most active research in Host and Network Intrusion Detection Systems are only able to
detect attacks on the computer systems and at the network layer, which are not sufficient to …

Deception strategies for web application security: application-layer approaches and a testing platform

M Izagirre - 2017 - diva-portal.org
The popularity of the internet has made the use of web applications ubiquitous and essential
to the daily lives of people, businesses and governments. Web servers and web applications …

Email authentication using symmetric and asymmetric key algorithm encryption

MAA Halim, CC Wen, I Rahmi, NA Abdullah… - AIP Conference …, 2017 - pubs.aip.org
Protection of sensitive or classified data from unauthorized access, hackers and other
personals is virtue. Storage of data is done in devices such as USB, external hard disk …

Application of machine learning in malware detection for Android

S Gautam, K Rathi, A Bagwari… - AIP Conference …, 2023 - pubs.aip.org
The fight to reduce Android malware has been seen as an important endeavour as the use
of smart devices powered by the Android operating system grows in popularity complex …