Browsing by Author "Zaizi, NJM"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
- Some of the metrics are blocked by yourconsent settings
Publication A New Mobile Malware Classification for SMS Exploitation(Springer International Publishing Ag, 2017) ;Zaizi, NJM ;Saudi, MMKhailani, AMobile malware is ubiquitous in many malicious activities such as money stealing. Consumers are charged without their consent. This paper explores how mobile malware exploit the system calls via SMS. As a solution, we proposed a system calls classification based on surveillance exploitation system calls for SMS. The proposed system calls classification is evaluated and tested using applications from Google Play Store. This research focuses on Android operating system. The experiment was conducted using Drebin dataset which contains 5560 malware applications. Dynamic analysis was used to extract the system calls from each application in a controlled lab environment. This research has developed a new mobile malware classification for Android smartphone using a covering algorithm. The classification has been evaluated in 500 applications and 126 applications have been identified to contain malware. - Some of the metrics are blocked by yourconsent settings
Publication Spatial Signature Method (SSM) Against XML Signature Wrapping Attacks(E D P Sciences, 2019) ;Saudi, MM ;Zaizi, NJM ;Sweese, KJAAbu Bakar, ALiving in cyber world with revolutionizes of Industrial 4.0, most of the users and organisations prefer to sell and buy products or services via website online transaction. This online transaction is done through a messaging protocol (SOAP) and signing entire SOAP (SESOAP) using Extensible Markup Language (XML). XML is implemented to secure the SOAP contents by applying the signing method called as XML Digital signature. However, the XML digital signature has issues related to XML signature wrapping (XSW) attacks specifically on Sibling Value Context and Sibling Order Context attacks. Therefore, this paper proposes an enhanced method called as Spatial Signature Method (SSM) which aims to resolve the limitation of SESOAP from the aspect of XSW attacks. It proposes new parameters for XML digital signature inspired by the concept of ratio and space in biotechnology to detect the XSW attacks. The experiment was conducted in a controlled lab by using the Ubuntu Linux system and PHP programming. Based on the comparison made with SESOAP and ID Referencing method (IDR), SSM has proven to defend against the XSW attacks. For the future work, the spatial signature method can be forged with more extensive spatial information for the digital signature and to integrate it with web services.