Forensic analysis of WIndows physical memory

With the ubiquitous application of IT in different industries, digital forensic has become an essential element in IT security for discovering and mitigating the root causes of IT incidents. In this context, forensics memory analysis has recently gained great attention in cyber forensics community. However, most of the proposals in this area have focused on the extraction of important kernel data structures such as executive objects from the memory. This thesis discusses techniques for forensic analysis of Windows physical memory. The state of the art on digital forensic with focus on memory forensic is elaborated in this thesis. Additionally the thesis introduces new techniques for Windows memory forensics. The techniques that are elaborated in this thesis are classified into two categories; physical memory parsing, and execution history analysis. The first category introduces different in-memory structures of Windows operating system that are of forensic value during a digital investigation. The second category proposes an approach to analyze the stack memory of process threads to reveal partial execution histories of processes. The result of applying this technique enables the investigator to discover what actions performed by processes at the time of the incident. An algorithm was developed for this purpose that produces all the possible execution history paths. At the end, the introduced techniques are evaluated and empirical results are provided

Determination of Sustainable Tourism Development Strategies in Coastal Areas with Emphasis on Nature-based Tourism, Coastal Area of Bandar Mogham to Bandar Hasineh in Hormozgan Province

Nature-based tourism as one of the types of tourism can play an important role in the sustainable development of regions and also have important effects on improving the physical and mental health of tourists. Bandar Lengeh County has several natural capacities such as unique sandy, rocky and coral beaches, numerous islands, salt domes and unique mountain landscapes that indicate the proper capacity of this county for the development of nature-based tourism. However, it's potential and actual capacities have not yet been used effectively. The aim of this study is to determine the strategies for the development of sustainable tourism with an emphasis on nature-based tourism in the western region of Bandar Lengeh County. For this purpose, first, the internal factors (strength and weakness) and external (opportunity and threat) were determined using SWOT technique and the opinion of experts and then based on them, the strategies for developing nature-based tourism in the region have been identified, Finally, the strategies were ranked using the quantitative strategic planning matrix (QSPM) technique. The results show that strategies such as providing nature-based tourism equipment and facilities on the region's coasts, providing equipment for water sports and recreation on the region's coasts, and guiding tourists from Fars province, Kish island and the Persian Gulf countries to the region are more important in order than other strategies. The findings of this study can be considered by managers, decision-makers and planners in order to plan and develop nature-based tourism and subsequently achieve sustainable development in this region

DATA REPLICATION IN DISTRIBUTED SYSTEMS USING OLYMPIAD OPTIMIZATION ALGORITHM

Achieving timely access to data objects is a major challenge in big distributed systems like the Internet of Things (IoT) platforms. Therefore, minimizing the data read and write operation time in distributed systems has elevated to a higher priority for system designers and mechanical engineers. Replication and the appropriate placement of the replicas on the most accessible data servers is a problem of NP-complete optimization. The key objectives of the current study are minimizing the data access time, reducing the quantity of replicas, and improving the data availability. The current paper employs the Olympiad Optimization Algorithm (OOA) as a novel population-based and discrete heuristic algorithm to solve the replica placement problem which is also applicable to other fields such as mechanical and computer engineering design problems. This discrete algorithm was inspired by the learning process of student groups who are preparing for the Olympiad exams. The proposed algorithm, which is divide-and-conquer-based with local and global search strategies, was used in solving the replica placement problem in a standard simulated distributed system. The 'European Union Database' (EUData) was employed to evaluate the proposed algorithm, which contains 28 nodes as servers and a network architecture in the format of a complete graph. It was revealed that the proposed technique reduces data access time by 39% with around six replicas, which is vastly superior to the earlier methods. Moreover, the standard deviation of the results of the algorithm's different executions is approximately 0.0062, which is lower than the other techniques' standard deviation within the same experiments

Relationship between metabolic syndrome and osteoarthritis: The Fasa Osteoarthritis Study

An association between metabolic syndrome (MeS) and osteoarthritis (OA) has been reported in recent years; however, conflicting findings have been reported regarding this matter. Inhere we evaluated the relationship between different components of MeS and OA in a Fasa osteoarthritis registry (FOAS). Methods: The registry includes all OA cases who referred to Fasa hospital (Iran) since 2013. Overall, 131 patients with OA with a Kellgren & Lawrence (K&L) score >1 and 261 controls were compared. Results: Overall, 82.4% of individuals in the OA group and 40.8% of participants in the control group had MeS (P < 0.001). Patients with OA had a 6.8 (95% CI: 4.1–11.4) higher chance of acquiring MeS. After adjusting for sex, age, and BMI, odds’ ratio (OR) for acquiring MeS in OA group increased to 10.9 (95% CI: 5.5–21.8). Among MeS criteria’s, high waist circumference (WC) has strongest correlation for acquiring OA (OR = 27.535, 95% CI: 6.003–126.306). Conclusion: Our findings revealed that metabolic markers are strongly associated with OA and the addition of each component of the MeS, significantly increases the risk of developing OA, therefore control of metabolic factors and appropriate screening must be considered in health policy making and prevention programs

Growth to seltfhood revolusi spritual : metode mengembangkan kepribadian sufi aktualisaasi diri fitri

ix, 220 hlm.:Ilus.:24 c

Growth to selfhood: the sufi contribution/ Arasteh

xii, 145 hal.: ill.: 23 c

Sufisme dan penyempurnaan diri/ Arasteh

xi, 213 hal.; 19 cm