Locating defense positions for thwarting the propagation of topological worms

A common view for the preferable positions of thwarting worm propagation is at the highly connected nodes. However, in certain conditions, such as when some popular users (highly connected nodes in the network) have more vigilance on the malicious codes, this may not always be the truth. In this letter, we propose a measure of betweenness and closeness to locate the most suitable positions for slowing down the worm propagation. This work provides practical values to the defense of topological worms.

CBF : A packet filtering method for DDoS attack defense in cloud environment

Distributed Denial-of-Service attack (DDoS) is a major threat for cloud environment. Traditional defending approaches cannot be easily applied in cloud security due to their relatively low efficiency, large storage, to name a few. In view of this challenge, a Confidence-Based Filtering method, named CBF, is investigated for cloud computing environment, in this paper. Concretely speaking, the method is deployed by two periods, i.e., non-attack period and attack period. More specially, legitimate packets are collected at non-attack period, for extracting attribute pairs to generate a nominal profile. With the nominal profile, the CBF method is promoted by calculating the score of a particular packet at attack period, to determine whether to discard it or not. At last, extensive simulations are conducted to evaluate the feasibility of the CBF method. The result shows that CBF has a high scoring speed, a small storage requirement and an acceptable filtering accuracy, making it suitable for real-time filtering in cloud environment.

Application of a brain inspired model for profiling multi-view crime patterns

With the massive amount of crime data generated daily, this has put law enforcement under intensive stress. This means that law enforcement has to compete against the time to solve crime. In addition, the focus of crime investigation has been expanded from the ability to catch the criminals towards the ability to act before a crime happens (i.e pre-crime). Given such situation, creation of crime profiles is very important to law enforcement, especially in understanding the behaviours of criminals and identifying the characteristics of similar crimes. In fact, crime profiles could be used to solve similar crimes and thus pre-crime action could be conducted. In this paper, a brain inspired conceptual model is proposed and a structurally adaptive neural network is deployed for its implementation. Subsequently, the proposed model is applied for the identification and presentation of multi-view crime patterns. Such multi-view crime patterns could be useful for the construction of crime profiles. Moreover, the suitability of the proposed model in crime profiling is discussed and demonstrated through some experimental results.

Modeling and defense against propagation of worms in networks

Worms are widely believed to be one of the most serious challenges in network security research. In order to prevent worms from propagating, we present a microcosmic model, which can benefit the security industry by allowing them to save significant money in the deployment of their security patching schemes.

Organised crime in ports and the isps code: where to now?

In a previous Strategic Insights article [issue no.31, March 2011]  there was a focus on increasing use of maritime shipping containers by drug traffickers pointing to their use as a transport method. This raised the quetion of the extent to which counterterrorism efforts that have raised security levels in ports, as part of a general heightening of security levels. This article questions whether current counterterrorism arrangements on the landside of ports can be effective tools against the presence of organised crime.

Keynote : Detection of and defense against distributed denial-of-service (DDoS) attacks

Distributed denial-of-service (DDoS) attacks typically exhaust bandwidth, processing capacity, or memory of a targeted machine, service or network. Despite enormous efforts in combating DDoS attacks in the past decade, DDoS attacks are still a serious threat to the security of cyberspace. In this talk I shall outline the recent efforts of my research group in detection of and defence against DDoS attacks. In particular, this talk will concentrate on the following three critical issues related to DDoS attacks: (1) Traceback of DDoS attacks; (2) Detection of low-rate DDoS attacks; and (3) Discriminating DDoS attacks from flash crowds.

Rape in Victoria as a crime of absolute liability : a departure from both precedent and progressivism

In recent decades, a disturbing trend has emerged in Victoria and elsewhere that has witnessed the emergence of statutory rules that accord preferential treatment to prosecutors and complainants in instances where allegations of rape are made. This article examines not only the manifestations of such treatment in the form of Victorian crime legislation, but the means by which the statutory crime of rape in Victoria has been transformed into an offence which, though technically one of mens rea, can effectively be prosecuted as an offence of absolute liability. The piece concludes with a discussion of the likely reasons for this trend as well as the implications of allowing such a serious offence to be prosecuted as one of absolute liability.

The High Court on crime in 2012 : outcomes and jurisprudence

This article examines the High Court decisions from 2012 which relate to criminal matters. This systematic analysis of all High Court judgments commenced in this Journal in 2010 and is now undertaken annually. The article explains the principles that derive from these cases and identifies jurisprudential themes from the decisions. It also sets out the significance of the cases and the possible wider consequences of the decisions.

Judicial valuation of the social costs of crime

The true economic functions of the criminal courts are, first, to deter potential prospective offenders from committing offences, and in so doing reduce the total social costs of crime in the future; and secondly, to force the convicted offender to bear some of the costs, which the crime has externalised onto the victim(s) and wider society through retributive justice. These objectives are achieved through the sentencing function. Critics have lamented that too many extraneous factors are taken into account when setting penalties but the authors argue in this article that nevertheless these sentences are optimal because of the judges' comparative advantage. What is of great interest, and the focus of this article, are the implicit valuations of the social costs of crime that these sentences imply. Using the South Australia higher criminal courts as a case study, the authors estimate and utilise these judicial valuations to suggest a methodology for measuring the true economic value of the criminal courts. The analysis helps put into perspective the courts' very valuable contribution to social welfare.

The contribution of job and partner satisfaction to the homeostatic defense of subjective wellbeing

Two studies investigate subjective wellbeing (SWB) homeostasis. The first investigates the contribution of job satisfaction (JS) and partner satisfaction (PS) to the homeostatic defense of SWB. The extant model of homeostasis does not include either variable. The second study investigates the relationship between Homeostatically Protected Mood (HPMood) and other factors involved in the homeostatic model. It has been proposed that HPMood is the basic, biologically determined, positive mood that saturates SWB and other related variables, and forms the basis of the SWB set-point. Thus, if HPMood is an individual difference and it perfuses other homeostatic variables, then HPMood should be responsible for much of the shared variance between such variables. Two comparative samples are involved. One is a group of 171 Hong Kong Chinese recruited through convenience sampling. The other is a group of 343 Australians recruited via a general population survey. Results indicate that both JS and PS predict significant variance in Global Life Satisfaction beyond the existing factors in the homeostatic model. It is also found that, after controlling for the effect of HPMood, the strength of correlations between SWB and other homeostatic variables is significantly diminished. The implications of these findings are discussed.