https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 Modeling and analysis of RRC-based signalling storms in 3G networks https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31821 Wed 11 Apr 2018 11:22:59 AEST ]]> A survey on machine learning techniques for cyber security in the last decade https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44446 Thu 13 Oct 2022 12:39:37 AEDT ]]> A novel malware for subversion of self-protection in anti-virus https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31627 Sat 24 Mar 2018 08:45:05 AEDT ]]> Antivirus security: naked during updates https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31645 Sat 24 Mar 2018 08:45:04 AEDT ]]> Counteracting security attacks in virtual machines in the cloud using property based attestation https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31657 Sat 24 Mar 2018 08:44:48 AEDT ]]> Design and evaluation of feature distributed malware attacks against the Internet of Things (IoT) https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31554 Sat 24 Mar 2018 08:44:25 AEDT ]]> Secure dynamic software loading and execution using cross component verification https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31552 Sat 24 Mar 2018 08:44:24 AEDT ]]> A simple and novel technique for counteracting exploit kits https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31852 version information of web browsers and browser plugins. AFFAF is a zero-configuration solution, which means that users do not need to configure anything after installing it. In addition, it is an easy-to-employ methodology from the perspective of plugin developers. We have implemented a lightweight prototype and have shown that AFFAF enabled vulnerable systems can counteract 50 real-world and one locally deployed exploit kit URLs. Tested exploit kits include popular and well-maintained ones such as Blackhole 2.0, Redkit, Sakura, Cool and Bleeding Life 2. We have also demonstrated that the false positive rate of AFFAF is virtually zero, and it is robust enough to be effective against real web browser plugin scanners.]]> Sat 24 Mar 2018 08:43:15 AEDT ]]> Design and analysis of a sophisticated malware attach against smart grid https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31814 Sat 24 Mar 2018 08:42:46 AEDT ]]> A novel machine learning approach for detecting first-time-appeared malware https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55769 Fri 21 Jun 2024 12:02:26 AEST ]]>