Information technology (IT) is critical and valuable to our society. An important type of IT system is Supervisor Control And Data Acquisition (SCADA) systems. These systems are used to control and monitor physical industrial processes like electrical power supply, water supply and railroad transport. Since our society is heavily dependent on these industrial processes we are also dependent on the behavior of our SCADA systems. SCADA systems have become (and continue to be) integrated with other IT systems they are thereby becoming increasingly vulnerable to cyber threats. Decision makers need to assess the security that a SCADA system’s architecture offers in order to make informed decisions concerning its appropriateness. However, data collection costs often restrict how much information that can be collected about the SCADA system’s architecture and it is difficult for a decision maker to know how important different variables are or what their value mean for the SCADA system’s security. The contribution of this thesis is a modeling framework and a theory to support cyber security vulnerability assessments. It has a particular focus on SCADA systems. The thesis is a composite of six papers. Paper A describes a template stating how probabilistic relational models can be used to connect architecture models with cyber security theory. Papers B through E contribute with theory on operational security. More precisely, they contribute with theory on: discovery of software vulnerabilities (paper B), remote arbitrary code exploits (paper C), intrusion detection (paper D) and denial-of-service attacks (paper E). Paper F describes how the contribution of paper A is combined with the contributions of papers B through E and other operationalized cyber security theory. The result is a decision support tool called the Cyber Security Modeling Language (CySeMoL). This tool produces a vulnerability assessment for a system based on an architecture model of it. / Informationsteknik (IT) är kritiskt och värdefullt för vårt samhälle. En viktig typ av IT-system är de styrsystem som ofta kallas SCADA-system (från engelskans "Supervisor Control And Data Acquisition"). Dessa system styr och övervakar fysiska industriella processer så som kraftförsörjning, vattenförsörjning och järnvägstransport. Eftersom vårt samhälle är beroende av dessa industriella processer så är vi också beroende av våra SCADA-systems beteende. SCADA-system har blivit (och fortsätter bli) integrerade med andra IT system och blir därmed mer sårbara för cyberhot. Beslutsfattare behöver utvärdera säkerheten som en systemarkitektur erbjuder för att kunna fatta informerade beslut rörande dess lämplighet. Men datainsamlingskostnader begränsar ofta hur mycket information som kan samlas in om ett SCADA-systems arkitektur och det är svårt för en beslutsfattare att veta hur viktiga olika variabler är eller vad deras värden betyder för SCADA-systemets säkerhet. Bidraget i denna avhandling är ett modelleringsramverk och en teori för att stödja cybersäkerhetsutvärderingar. Det har ett särskilt focus på SCADA-system. Avhandlingen är av sammanläggningstyp och består av sex artiklar. Artikel A beskriver en mall för hur probabilistiska relationsmodeller kan användas för att koppla samman cybersäkerhetsteori med arkitekturmodeller. Artikel B till E bidrar med teori inom operationell säkerhet. Mer exakt, de bidrar med teori angående: upptäckt av mjukvarusårbarheter (artikel B), fjärrexekvering av godtycklig kod (artikel C), intrångsdetektering (artikel D) och attacker mot tillgänglighet (artikel E). Artikel F beskriver hur bidraget i artikel A kombineras med bidragen i artikel B till E och annan operationell cybersäkerhetsteori. Resultatet är ett beslutsstödsverktyg kallat Cyber Security Modeling Language (CySeMoL). Beslutsstödsverktyget producerar sårbarhetsutvärdering för ett system baserat på en arkitekturmodell av det. / <p>QC 20121018</p>

The Miller Forensic Assessment of Symptoms Test (M-FAST) is a relatively new measure shown to be a valid and effective tool for screening psychiatric malingering in criminal forensic and psychiatric inpatient settings. The present study attempts to cross-validate the M-FAST in civil forensic and neurologic samples. Three-hundred-eight civil forensic patients referred by their attorneys for neuropsychological testing were studied. Assessment batteries administered included tests of both psychiatric and neurocognitive feigning. Based on these gold standards, 4 sets of contrasts were formed in order to examine how the M-FAST performs in identifying psychiatric malingering, neurocognitive malingering, any malingering (including either or both types of malingering), as well as any malingering among a neurologic subset of this sample. At the level of group discrimination, the M-FAST Total score performed well in all contrasts. However, at the level of individual classification rates, although the M-FAST Total score was well supported for identifying psychiatric feigning, when neurocognitive malingering was present, performance dropped considerably. Thus, using the M-FAST recommended cutting score of 6, the M-FAST was able to successfully identify psychiatric malingering; however, the M-FAST is not an appropriate measure to use for identifying neurocognitive malingering within this sample.

In  Anbetracht  der  steigenden  Zahl  an  älteren  und  multimorbiden  Patienten  in  Deutschland und  den  westlichen  Nationen  stellt  die  Geriatrie  eine  der  größten  gesundheitspolitischen, ökonomischen  und  sozialen  Herausforderungen  unserer  Gesellschaft  dar.  Die  Implementie‐ rung  der  Geriatrie  in  die  universitäre  Lehre  von  Studierenden  der  Medizin  ist  daher  essentiell.  Dabei  ist  die  Handhabung  geeigneter  geriatrischer  Screeningverfahren  im  klinischen Alltag  ein  wichtiger  Bestandteil,  um  Abläufe  zu  vereinfachen,  Diagnostik  und  Therapie  zu  individualisieren und Kosten zu reduzieren.   Das  geriatrische  Assessment  in  Form  des  STEP‐Assessments  (Standardisiertes  evidenzbasiertes  präventives  Assessment  älterer  Menschen  in  der  medizinischen  Primäreversorgung)  ist ein  solches  Screeningverfahren,  welches  im  Rahmen  des  Blockpraktikums  Allgemeinmedizin an  der  Universität  Leipzig  von  Medizinstudierenden  durchgeführt  wird.  Es  erfasst  ein breites Spektrum an Bedürfnissen in vielen unterschiedlichen Lebensbereichen  geriatrischer Patienten  und  scheint  daher  besonders  für  die  Sensibilisierung  von  Studierenden  der  Medizin  für die  Komplexität  der  Geriatrie  geeignet  zu  sein.  Zur  Verbesserung  der Auswertungsquantität und ‐genauigkeit  des  geriatrischen  Assessments  wurde  eine  Checkliste  als  strukturierende Interpretationshilfe  installiert.  In  dieser  Studie  wird  der  Effekt  dieser  Checkliste  im  Vergleich zweier Kohorten von Studierenden untersucht. Als weitere Indikatoren für die mögliche Verbesserung  der  Auswertungsquantität  und ‐genauigkeit  wurde  die  Benotung  des  Blockpraktikums, sowie für die Zufriedenheit der Studierenden mit dem  Blockpraktikum eine Evaluation herangezogen.  Bei  statistisch  belegter  Vergleichbarkeit  der  Patientenkohorten,  fanden  wir  bei  nahrzu  allen  STEP‐Themen  mehr  Dokumentation  durch  die  Studierenden,  denen  die  Checkliste  als  Interpretationshilfe  vorlag.  Durch  diese  checklistenassoziierte  Steigerung  der  Dokumentationsquantität  und  ‐genauigkeit  ließ  sich  eine  signifikante  Verbesserung  der  Noten  der  Studierenden  mit  Checkliste  gegenüber  derer  ohne  Checkliste  verbuchen.  Die  Analyse  der Evaluation zeigte jedoch, dass die Studierenden mit Checkliste mit dem Blockpraktikum nicht signifikant zufriedener waren.  In  der  Gegenüberstellung  der  Auswertungen  des  geriatrischen  Assessments  durch  die  Studierenden  mit  der  aktuellen  Fachliteratur  und  Leitlinien  stellte  sich  stellenweise  eine  Diskrepanz  dar.  Die  von  den  Studierenden  empfohlenen  Diagnostik‐  oder  Therapieansätze  waren zwar stets medizinisch korrekt, entsprachen jedoch nicht immer den empfohlenen klinischen Leitlinien.  Es  stellt  sich  die  Frage,  ob  dies  bei  noch  nicht  abgeschlossenem  Studium  von  den Studierenden  erwartet  werden  kann,  oder  ob  indikationsgerechte  und  zielführende  Vorschläge ausreichend sind.   Die  Ergebnisse  dieser  Untersuchung  zeigen,  dass  ein  Screeninginstrument  mit  der  Komplexität  eines  STEP‐Assessments  erst  in  Kombination  mit  einer  strukturierenden  Interpretations‐ hilfe  in  Form  einer  Checkliste  von  den  Studierenden  sachgerecht  gehandhabt  werden  kann.  Es  konnte  eine  Steigerung  der  Auswertungsgenauigkeit  sowie ‐quantität  gesehen  werden, was  zu  der  Vermutung  führt,  dass  dies  ebenfalls  zu  einer  Erhöhung  des  Lernerfolges  bei  den Studierenden  gereichte.  Eine  Verbesserung  der  Art  der  Implementierung  der  Checkliste  und deren  gesonderte Evaluation  wären wünschenswert,  um  die  Zufriedenheit  der  Studierenden mit der Checkliste messbar zu machen.  Ein Rückschluss dieser Ergebnisse auf bereits spezialisierte  Allgemeinmediziner  oder  Geriater  liegt  nahe  und  sollte  in  einer  weiteren  Studie  eingehend untersucht werden.

The pursuit of efficiency and effectiveness in environmental assessment (EA) processes has prompted the introduction of a promising, second-generation process: Strategic Environmental Assessment (SEA). In order to learn about SEA practice and identify opportunities for improvement of SEA, this research examined the ongoing Western Newfoundland Offshore Area SEA. Analysis was conducted on data obtained from documents, observations, and interviews with participants in the case study SEA to determine if meaningful participation had occurred, participants’ learning outcomes, and recommendations for future practice. The results show that the principles of meaningful public consultation were not in place, resulting in dissatisfaction with the participatory process and limited learning amongst participants. The meetings also veered from some of the important elements of a SEA (e.g., examining broad alternatives). Variance from the basic principles of SEA and meaningful public consultation demonstrated a lack of commitment to conducting an effective and influential strategic assessment.

No description available.

In much of Australia and the United States, the almost universal right to have a house on rural allotments has resulted in rural living settlement in areas intended, by land use planning policy, to be used for agriculture. Such ‘unplanned’ rural living has a range of potential adverse impacts, including, among other things, loss of agricultural production, land use conflicts with agriculture, land value constraints on farm restructuring, and changes to the rural landscape character. Given the strongly held community perception of a house as a development right, this research was motivated by the need to understand the effects of that right, in order to assess the potential value of any change in policy. An integral consideration was the influence of the size of allotments with any such right. The research was also driven by an interest in explaining the pattern of unplanned rural living settlement, i.e. why are particular allotments converted and others not? Largely in the absence of previous studies of unplanned rural living as a distinct phenomenon, there was scope for this thesis to make a contribution to knowledge in these respects. The research involved three stages of empirical analysis. Firstly, a Queensland-wide survey of land use conversion from sugarcane production supported the choice of the Bundaberg region as the study area. Contingency table analyses were then conducted into the current land use and other attributes of land in the study area that, in 1980, was used for sugarcane. Those analyses identified distinguishing attributes of the different land use sub-sets of allotments, and informed the selection of observation units for the third stage. The third stage provided the principal basis for fulfilling the research objectives. It focused on logit models of the choice, at the time of sale, between using a particular allotment for unplanned rural living or sugarcane production. Those analyses provided an indication of the role of individual land attributes while controlling for the effects of other attributes. It was found there had been limited conversion of suitable, productive sugarcane land to unplanned rural living. Compared to those allotments that remained in sugarcane production, allotments converted to rural living were, on average, much smaller, of less value, had lower agricultural production potential, and were situated in more undulating and forested landscapes further from Bundaberg. These clear distinctions between rural living and sugarcane allotments contributed to logit models with high explanatory power. The expected productive income of allotments had overwhelming weight and was highly statistically significant in explaining the land use choice between unplanned rural living and sugarcane. This is a notable finding, because some other studies have not shown such a strong relationship between land use and measures such as soil productivity. There was a degree of natural coincidence between more undulating and forested landscapes and lower productive potential. Notably, landscape attributes appeared to be of secondary importance in determining land use. The presence of a house at the time of sale was not a statistically significant explanatory factor for land use. This finding, together with that of limited conversion of suitable, productive land to unplanned rural living, meant there was a lack of evidence to support a change to the right to have a house on rural allotments. The findings did indicate that the allotment area required to avoid conversion to unplanned rural living was different to the area required for agricultural viability. In the circumstances of this study area and period, 20 ha would have been an acceptable minimum to retain suitable cropping land in productive use. This is compared to the 60 ha suggested as necessary for farm viability. However, the potential for changed economic conditions to reduce the productive value of agricultural land, and increase demand for rural living, makes it appropriate to be cautious about permitted allotment sizes. A detailed conceptual framework informed the selection of observation units and variables for the third stage of analyses. The framework helped to confirm allotment sales as the observation units, and provided the rationale for excluding the difficult to measure influences of a landowner’s attachment to the land, and inertia, as explanatory variables. The high explanatory power of the logit models provides support for the approach, which may be useful in future studies.

In much of Australia and the United States, the almost universal right to have a house on rural allotments has resulted in rural living settlement in areas intended, by land use planning policy, to be used for agriculture. Such ‘unplanned’ rural living has a range of potential adverse impacts, including, among other things, loss of agricultural production, land use conflicts with agriculture, land value constraints on farm restructuring, and changes to the rural landscape character. Given the strongly held community perception of a house as a development right, this research was motivated by the need to understand the effects of that right, in order to assess the potential value of any change in policy. An integral consideration was the influence of the size of allotments with any such right. The research was also driven by an interest in explaining the pattern of unplanned rural living settlement, i.e. why are particular allotments converted and others not? Largely in the absence of previous studies of unplanned rural living as a distinct phenomenon, there was scope for this thesis to make a contribution to knowledge in these respects. The research involved three stages of empirical analysis. Firstly, a Queensland-wide survey of land use conversion from sugarcane production supported the choice of the Bundaberg region as the study area. Contingency table analyses were then conducted into the current land use and other attributes of land in the study area that, in 1980, was used for sugarcane. Those analyses identified distinguishing attributes of the different land use sub-sets of allotments, and informed the selection of observation units for the third stage. The third stage provided the principal basis for fulfilling the research objectives. It focused on logit models of the choice, at the time of sale, between using a particular allotment for unplanned rural living or sugarcane production. Those analyses provided an indication of the role of individual land attributes while controlling for the effects of other attributes. It was found there had been limited conversion of suitable, productive sugarcane land to unplanned rural living. Compared to those allotments that remained in sugarcane production, allotments converted to rural living were, on average, much smaller, of less value, had lower agricultural production potential, and were situated in more undulating and forested landscapes further from Bundaberg. These clear distinctions between rural living and sugarcane allotments contributed to logit models with high explanatory power. The expected productive income of allotments had overwhelming weight and was highly statistically significant in explaining the land use choice between unplanned rural living and sugarcane. This is a notable finding, because some other studies have not shown such a strong relationship between land use and measures such as soil productivity. There was a degree of natural coincidence between more undulating and forested landscapes and lower productive potential. Notably, landscape attributes appeared to be of secondary importance in determining land use. The presence of a house at the time of sale was not a statistically significant explanatory factor for land use. This finding, together with that of limited conversion of suitable, productive land to unplanned rural living, meant there was a lack of evidence to support a change to the right to have a house on rural allotments. The findings did indicate that the allotment area required to avoid conversion to unplanned rural living was different to the area required for agricultural viability. In the circumstances of this study area and period, 20 ha would have been an acceptable minimum to retain suitable cropping land in productive use. This is compared to the 60 ha suggested as necessary for farm viability. However, the potential for changed economic conditions to reduce the productive value of agricultural land, and increase demand for rural living, makes it appropriate to be cautious about permitted allotment sizes. A detailed conceptual framework informed the selection of observation units and variables for the third stage of analyses. The framework helped to confirm allotment sales as the observation units, and provided the rationale for excluding the difficult to measure influences of a landowner’s attachment to the land, and inertia, as explanatory variables. The high explanatory power of the logit models provides support for the approach, which may be useful in future studies.

In much of Australia and the United States, the almost universal right to have a house on rural allotments has resulted in rural living settlement in areas intended, by land use planning policy, to be used for agriculture. Such ‘unplanned’ rural living has a range of potential adverse impacts, including, among other things, loss of agricultural production, land use conflicts with agriculture, land value constraints on farm restructuring, and changes to the rural landscape character. Given the strongly held community perception of a house as a development right, this research was motivated by the need to understand the effects of that right, in order to assess the potential value of any change in policy. An integral consideration was the influence of the size of allotments with any such right. The research was also driven by an interest in explaining the pattern of unplanned rural living settlement, i.e. why are particular allotments converted and others not? Largely in the absence of previous studies of unplanned rural living as a distinct phenomenon, there was scope for this thesis to make a contribution to knowledge in these respects. The research involved three stages of empirical analysis. Firstly, a Queensland-wide survey of land use conversion from sugarcane production supported the choice of the Bundaberg region as the study area. Contingency table analyses were then conducted into the current land use and other attributes of land in the study area that, in 1980, was used for sugarcane. Those analyses identified distinguishing attributes of the different land use sub-sets of allotments, and informed the selection of observation units for the third stage. The third stage provided the principal basis for fulfilling the research objectives. It focused on logit models of the choice, at the time of sale, between using a particular allotment for unplanned rural living or sugarcane production. Those analyses provided an indication of the role of individual land attributes while controlling for the effects of other attributes. It was found there had been limited conversion of suitable, productive sugarcane land to unplanned rural living. Compared to those allotments that remained in sugarcane production, allotments converted to rural living were, on average, much smaller, of less value, had lower agricultural production potential, and were situated in more undulating and forested landscapes further from Bundaberg. These clear distinctions between rural living and sugarcane allotments contributed to logit models with high explanatory power. The expected productive income of allotments had overwhelming weight and was highly statistically significant in explaining the land use choice between unplanned rural living and sugarcane. This is a notable finding, because some other studies have not shown such a strong relationship between land use and measures such as soil productivity. There was a degree of natural coincidence between more undulating and forested landscapes and lower productive potential. Notably, landscape attributes appeared to be of secondary importance in determining land use. The presence of a house at the time of sale was not a statistically significant explanatory factor for land use. This finding, together with that of limited conversion of suitable, productive land to unplanned rural living, meant there was a lack of evidence to support a change to the right to have a house on rural allotments. The findings did indicate that the allotment area required to avoid conversion to unplanned rural living was different to the area required for agricultural viability. In the circumstances of this study area and period, 20 ha would have been an acceptable minimum to retain suitable cropping land in productive use. This is compared to the 60 ha suggested as necessary for farm viability. However, the potential for changed economic conditions to reduce the productive value of agricultural land, and increase demand for rural living, makes it appropriate to be cautious about permitted allotment sizes. A detailed conceptual framework informed the selection of observation units and variables for the third stage of analyses. The framework helped to confirm allotment sales as the observation units, and provided the rationale for excluding the difficult to measure influences of a landowner’s attachment to the land, and inertia, as explanatory variables. The high explanatory power of the logit models provides support for the approach, which may be useful in future studies.

In much of Australia and the United States, the almost universal right to have a house on rural allotments has resulted in rural living settlement in areas intended, by land use planning policy, to be used for agriculture. Such ‘unplanned’ rural living has a range of potential adverse impacts, including, among other things, loss of agricultural production, land use conflicts with agriculture, land value constraints on farm restructuring, and changes to the rural landscape character. Given the strongly held community perception of a house as a development right, this research was motivated by the need to understand the effects of that right, in order to assess the potential value of any change in policy. An integral consideration was the influence of the size of allotments with any such right. The research was also driven by an interest in explaining the pattern of unplanned rural living settlement, i.e. why are particular allotments converted and others not? Largely in the absence of previous studies of unplanned rural living as a distinct phenomenon, there was scope for this thesis to make a contribution to knowledge in these respects. The research involved three stages of empirical analysis. Firstly, a Queensland-wide survey of land use conversion from sugarcane production supported the choice of the Bundaberg region as the study area. Contingency table analyses were then conducted into the current land use and other attributes of land in the study area that, in 1980, was used for sugarcane. Those analyses identified distinguishing attributes of the different land use sub-sets of allotments, and informed the selection of observation units for the third stage. The third stage provided the principal basis for fulfilling the research objectives. It focused on logit models of the choice, at the time of sale, between using a particular allotment for unplanned rural living or sugarcane production. Those analyses provided an indication of the role of individual land attributes while controlling for the effects of other attributes. It was found there had been limited conversion of suitable, productive sugarcane land to unplanned rural living. Compared to those allotments that remained in sugarcane production, allotments converted to rural living were, on average, much smaller, of less value, had lower agricultural production potential, and were situated in more undulating and forested landscapes further from Bundaberg. These clear distinctions between rural living and sugarcane allotments contributed to logit models with high explanatory power. The expected productive income of allotments had overwhelming weight and was highly statistically significant in explaining the land use choice between unplanned rural living and sugarcane. This is a notable finding, because some other studies have not shown such a strong relationship between land use and measures such as soil productivity. There was a degree of natural coincidence between more undulating and forested landscapes and lower productive potential. Notably, landscape attributes appeared to be of secondary importance in determining land use. The presence of a house at the time of sale was not a statistically significant explanatory factor for land use. This finding, together with that of limited conversion of suitable, productive land to unplanned rural living, meant there was a lack of evidence to support a change to the right to have a house on rural allotments. The findings did indicate that the allotment area required to avoid conversion to unplanned rural living was different to the area required for agricultural viability. In the circumstances of this study area and period, 20 ha would have been an acceptable minimum to retain suitable cropping land in productive use. This is compared to the 60 ha suggested as necessary for farm viability. However, the potential for changed economic conditions to reduce the productive value of agricultural land, and increase demand for rural living, makes it appropriate to be cautious about permitted allotment sizes. A detailed conceptual framework informed the selection of observation units and variables for the third stage of analyses. The framework helped to confirm allotment sales as the observation units, and provided the rationale for excluding the difficult to measure influences of a landowner’s attachment to the land, and inertia, as explanatory variables. The high explanatory power of the logit models provides support for the approach, which may be useful in future studies.

Indigenous Australians make up a mere 2.4% of the population of whom around a quarter live in remote and very remote parts of Australia. The poor state of Indigenous housing in remote areas is generally acknowledged as one of Australia’s most intractable housing problems. The thesis examines why the remote Indigenous housing system does not meet the housing needs of Indigenous people in remote areas and discusses an alternative system. The aim of the thesis is to understand why the remote Indigenous housing system is not meeting people’s needs, despite policy statements that emphasise empowerment and partnerships. This understanding of the current remote Indigenous housing system involved placing it in historical, policy and international contexts and examining the current attempts to rationalise and streamline the system. The service-delivery concepts of supply-driven (externally prescribed) and demand-responsive (community determined) are applied to remote Indigenous housing. The characteristics of successful remote Indigenous housing, namely Indigenous control and self-determination, an enabling environment and a culturally responsive system, are developed and found to be characteristic of a demand-responsive system. The research hypothesises that the remote Indigenous housing system’s supply-driven focus is largely responsible for the housing needs of Indigenous people in remote areas not being met. This was tested using the new methodology of a Systems Social Assessment which is developed by combining Social Assessment and Checkland’s Soft Systems Methodology. This methodology illustrated that the current remote Indigenous housing system has a supply-driven focus where the housing ‘solutions’ are controlled and largely provided from an external source, in this case the Commonwealth and State governments and their agents. The thesis discusses an alternative demand-responsive focus where remote communities have more control over the nature and delivery of their housing that may prove more successful.