Reliability, availability and security of wireless networks in the community

Wireless networking increases the flexibility in the home, work place and community to connect to the Internet without being tied to a single location. Wireless networking has rapidly increased in popularity over recent years. There has also been a change in the use of the internet by users. Home users have embraced wireless technology and businesses see it as having a great impact on their operational efficiency. Both home users and industry are sending increasingly sensitive information through these wireless networks as online delivery of banking, commercial and governmental services becomes more widespread. However undeniable the benefits of wireless networking are, there are additional risks that do not exist in wired networks. It is imperative that adequate assessment and management of risk is undertaken by businesses and home users. This paper reviews wireless network protocols, investigates issues of reliability, availability and security when using wireless networks. The paper, by use of a case study, illustrates the issues and importance of implementing secured wireless networks, and shows the significance of the issue. The paper presents a discussion of the case study and a set of recommendations to mitigate the threat

Use of KAOS in operational digital forensic investigations

Abstract. This paper focuses on the operations involved in the digital forensic process using the requirements engineering framework KAOS. The idea is to enforce the claim that a requirements engineering approach to digital forensics produces reusable patterns for future incidents. Our patterns here will be opera-tion-focused, rather than requirement-focused, which is simpler because the op-erations can potentially be exhaustively enumerated and evaluated. Thus, for example, given the complexity of the Ceglia versus Zuckerberg Facebook case involving alleged document forgery, we can show that one of the benefits com-ing out of the modelling exercise was the set of operations needed. This will give an estimate for the future of what kind of capabilities and resources are needed for other complex document-forgery cases involving computers. It may also help to plan investigations and prioritise the use of resources more widely within the case workload of investigators.

The Australian Cyber Security Centre threat report 2015

Introduction: The number, type and sophistication of cyber security threats to Australia and Australians are increasing. Due to the varied nature of motivations for cyber adversaries targeting Australian organisations, organisations could be a target for malicious activities even if they do not think the information held on their networks is valuable, or that their business would be of interest to cyber adversaries. This first unclassified report by the ACSC describes the range of cyber adversaries targeting Australian networks, explains their motivations, the malicious activities they are conducting and their impact, and provides specific examples of activity targeting Australian networks during 2014. This report also offers mitigation advice on how organisations can defend against these activities. The ACSC’s ability to detect and defend against sophisticated cyber threats continues to improve. But cyber adversaries are constantly improving their tradecraft in their attempts to defeat our network defences and exploit the new technologies we embrace. There are gaps in our understanding of the extent and nature of malicious activity, particularly against the business sector. The ACSC is reaching out to industry to build partnerships to improve our collective understanding. Future iterations of the Threat Report will benefit from these partnerships and help to close gaps in our knowledge

Behavior-Based Outlier Detection for Network Access Control Systems

Network Access Control (NAC) systems manage the access of new devices into enterprise networks to prevent unauthorised devices from attacking network services. The main difficulty with this approach is that NAC cannot detect abnormal behaviour of devices connected to an enterprise network. These abnormal devices can be detected using outlier detection techniques. Existing outlier detection techniques focus on specific application domains such as fraud, event or system health monitoring. In this paper, we review attacks on Bring Your Own Device (BYOD) enterprise networks as well as existing clustering-based outlier detection algorithms along with their limitations. Importantly, existing techniques can detect outliers, but cannot detect where or which device is causing the abnormal behaviour. We develop a novel behaviour-based outlier detection technique which detects abnormal behaviour according to a device type profile. Based on data analysis with K-means clustering, we build device type profiles using Clustering-based Multivariate Gaussian Outlier Score (CMGOS) and filter out abnormal devices from the device type profile. The experimental results show the applicability of our approach as we can obtain a device type profile for five dell-netbooks, three iPads, two iPhone 3G, two iPhones 4G and Nokia Phones and detect outlying devices within the device type profile

Evaluation of Intelligent Intrusion Detection Models

This paper discusses an evaluation methodology that can be used to assess the performance of intelligent techniques at detecting, as well as predicting, unauthorised activities in networks. The effectiveness and the performance of any developed intrusion detection model will be determined by means of evaluation and validation. The evaluation and the learning prediction performance for this task will be discussed, together with a description of validation procedures. The performance of developed detection models that incorporate intelligent elements can be evaluated using well known standard methods, such as matrix confusion, ROC curves and Lift charts. In this paper these methods, as well as other useful evaluation approaches, are discussed.Peer reviewe

Mitigating private key compromise

Cryptosystems rely on the assumption that the computer end-points can securely store and use cryptographic keys. Yet, this assumption is rather hard to justify in practice. New software vulnerabilities are discovered every day, and malware is pervasive on mobile devices and desktop PCs. This thesis provides research on how to mitigate private key compromise in three different cases. The first case considers compromised signing keys of certificate authorities in public key infrastructure. To address this problem, we analyse and evaluate existing prominent certificate management systems, and propose a new system called "Distributed and Transparent Key Infrastructure", which is secure even if all service providers collude together. The second case considers the key compromise in secure communication. We develop a simple approach that either guarantees the confidentiality of messages sent to a device even if the device was previously compromised, or allows the user to detect that confidentiality failed. We propose a multi-device messaging protocol that exploits our concept to allow users to detect unauthorised usage of their device keys. The third case considers the key compromise in secret distribution. We develop a self-healing system, which provides a proactive security guarantee: an attacker can learn a secret only if s/he can compromise all servers simultaneously in a short period