… Briguglio, and H. Elmiligi, “The curious case of machine learning in malware detection,” …
Wen and H. Yu, “An android malware detection system based on machine learning,” vol. 1864, …

… Furthermore, they propose mutation operators for adequate testing of SQLI [Shahriar and
Zulkernine 2008c] and XSS [Shahriar and Zulkernine 2009b] vulnerabilities in Web-based …

The promise of quantum computing is not speeding up conventional computing rather
delivering an exponential advantage for certain classes of problems, with profound implications …

… Masum and H. Shahriar proposed a deep learning framework (Droid-NNet) for malware
classification in Android, mechanized as a deep learner that outperforms existing cuttingedge …

… For the indoor environment with static and moving objects, H ( f , t ) can be expressed as:(A.2…
s ( f , t ) involves the signals of static paths, and the dynamic vector H d ( f , t ) contains the …

Background The World Health Organization estimates that > 140 million people worldwide
are exposed to arsenic (As)–contaminated drinking water. As undergoes biologic methylation…

A decision tree is an important classification technique in data mining classification. Decision
trees have proved to be valuable tools for the classification, description, and generalization …

Inherited genetic variation affects local gene expression and DNA methylation in humans.
Most expression quantitative trait loci (cis-eQTLs) occur at the same genomic location as a …

Traditional network intrusion detection approaches encounter feasibility and sustainability
issues to combat modern, sophisticated, and unpredictable security attacks. Deep neural …

Web Application Firewalls (WAFs) are deployed to protect web applications and they offer in
depth security as long as they are configured correctly. A problem arises when there is over-…