activity
20162022
most citedSieving Fake News From Genuine: A Synopsis

5 citations · 6 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CR2022

MAIL: Malware Analysis Intermediate Language

Shahid Alam

This paper introduces and presents a new language named MAIL (Malware Analysis Intermediate Language). MAIL is basically used for building malware analysis and detection tools. MAI…

cs.CR20211 cited

DroidMorph: Are We Ready to Stop the Attack of Android Malware Clones?

Shahid Alam, M. Zain ul Abideen, Shahzad Saleem

The number of Android malware variants (clones) are on the rise and, to stop this attack of clones we need to develop new methods and techniques for analysing and detecting them. A…

cs.AI2021

A Recipe for Social Media Analysis

Shahid Alam, Juvariya Khan

The Ubiquitous nature of smartphones has significantly increased the use of social media platforms, such as Facebook, Twitter, TikTok, and LinkedIn, etc., among the public, governm…

cs.CR20195 cited

Sieving Fake News From Genuine: A Synopsis

Shahid Alam, Abdulaziz Ravshanbekov

With the rise of social media, it has become easier to disseminate fake news faster and cheaper, compared to traditional news media, such as television and newspapers. Recently thi…

cs.CR2016

SUIS: An Online Graphical Signature-Based User Identification System

Shahid Alam

Humans possess a large amount of, and almost limitless, visual memory, that assists them to remember pictures far better than words. This phenomenon has recently motivated the comp…

cs.CR2016

DroidNative: Semantic-Based Detection of Android Native Code Malware

Shahid Alam, Zhengyang Qu, Ryan Riley +2

According to the Symantec and F-Secure threat reports, mobile malware development in 2013 and 2014 has continued to focus almost exclusively ~99% on the Android platform. Malware w…