activity
20152023
most citedTowards a Zero-Trust Micro-segmentation Network Security Strategy: An Evaluation Framework

47 citations · 89 across the 19 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.CR2022★ 2 cited

Use of Cryptography in Malware Obfuscation

Hassan Jameel Asghar, Benjamin Zi Hao Zhao, Muhammad Ikram +4

Malware authors often use cryptographic tools such as XOR encryption and block ciphers like AES to obfuscate part of the malware to evade detection. Use of cryptography may give th…

cs.CR2022★ 11 cited

An Empirical Analysis of SMS Scam Detection Systems

Muhammad Salman, Muhammad Ikram, Mohamed Ali Kaafar

The short message service (SMS) was introduced a generation ago to the mobile phone users. They make up the world's oldest large-scale network, with billions of users and therefore…

cs.CR2022★ 3 cited

An Empirical Assessment of Security and Privacy Risks of Web based-Chatbots

Nazar Waheed, Muhammad Ikram, Saad Sajid Hashmi +2

Web-based chatbots provide website owners with the benefits of increased sales, immediate response to their customers, and insight into customer behaviour. While Web-based chatbots…

cs.NI2022★ 1 cited

5G-Enabled Pseudonymity for Cooperative Intelligent Transportation System

Nardine Basta, Ming Ding, Muhammad Ikram +1

Cooperative Intelligent Transportation Systems (C-ITS) enable communications between vehicles, road-side infrastructures, and road-users to improve users' safety and to efficiently…

cs.CR2022

A Study of Third-party Resources Loading on Web

Muhammad Ikram, Rahat Masood, Gareth Tyson +2

This paper performs a large-scale study of dependency chains in the web, to find that around 50% of first-party websites render content that they did not directly load. Although th…

cs.SI2022

A deep dive into the consistently toxic 1% of Twitter

Hina Qayyum, Benjamin Zi Hao Zhao, Ian D. Wood +3

Misbehavior in online social networks (OSN) is an ever-growing phenomenon. The research to date tends to focus on the deployment of machine learning to identify and classify types…

cs.CR2022★ 3 cited

Don't be a Victim During a Pandemic! Analysing Security and Privacy Threats in Twitter During COVID-19

Bibhas Sharma, Ishan Karunanayake, Rahat Masood +1

There has been a huge spike in the usage of social media platforms during the COVID-19 lockdowns. These lockdown periods have resulted in a set of new cybercrimes, thereby allowing…