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Vulnerabilities Mapping based on OWASP-SANS: A Survey for Static Application Security Testing (SAST) Jinfeng Li Abstract: The delivery of a framework in place for secure application development is of real value for application development teams to integrate security into their development life cycle, especially when a mobile or web application moves past the scanning stage and focuses increasingly on the remediation or mitigation phase based on static application security testing (SAST). For the first time, to the author’s knowledge, the industry-standard Open Web Application Security Project (OWASP) top 10 vulnerabilities and CWE/SANS top 25 most dangerous software errors are synced up in a matrix with Checkmarx vulnerability queries, producing an application security framework that helps development teams review and address code vulnerabilities, minimise false positives discovered in static scans and penetration tests, targeting an increased accuracy of the findings. A case study is conducted for vulnerabilities scanning of a proof-of-concept mobile malware detection app. Mapping the OWASP/SANS with Checkmarx vulnerabilities queries, flaws and vulnerabilities are demonstrated to be mitigated with improved efficiency. Keywords: Application Security; Checkmarx; Malware Detection; OWASP Top 10; SANS Top 25; Static Application Security Testing; Vulnerability Mapping. |
Failure Mode & Effect Analysis and another Methodology for Improving Data Veracity and Validity Ana Elsa Hinojosa Herrera, Chris Walshaw and Chris Bailey Abstract: Failure Mode & Effect Analysis (FMEA) is a method that has been used to improve reliability of products, processes, designs, and software for different applications. In this paper we extend its usage for data veracity and validity improvement in the context of big data analysis and discuss its application in an electronics manufacturing test procedure which consists of a sequence of tests. Finally, we describe another methodology, developed as a result of the DVV-FMEA application which is aimed at improving the tests' repeatability and failure detection capabilities as well as monitoring their reliability. Keywords: Big Data; Data Veracity; Data Validity; FMEA; Statistics; Electronics Manufacturing; Quality Assurance; Test Limits Optimisation. |
A Review on Smart IoT Based Farming Hira Farooq, Hafeez UR Rehman, Anam Javed, Mehnaz Shoukat and Sandra Dudley Abstract: With the increase of world population, the availability of food to all inhabitants on globe is one of the significant challenges. These challenges need to be addressed by adopting innovative options to improve the soil capacity and the safety of environmental resources. The availability of real-time vital parameters related to farming such as moisture, temperature, weather, crops diseases and water management as well as predictive actions against the changes in parameters can provide great help to deal with these challenges. Internet of Things (IoT) is an evolving technology, has great potential to play and prevail its miraculous role in almost every field. IoT is a network of things that are capable of self-configuring network. The development of intelligent IoT based Smart farming is day by day getting its space in developed countries. It facilitates towards precision agriculture and turning the face of agriculture production. Subsequently, it is reducing spoilage of resources such as water, fertilizers, operating cost. The availability and development of cost effective smart miniaturized sensors, processors and communication technologies has made IoT based smart farming feasible. This paper aims to review most recent papers from year 2015 to 2020 in IoT based farming domain. The recent work is highlighted in terms of their scope, methodology and summarised in a table followed by discussion and analysis. The intention is to provide a platform for the future researchers to get a start towards a system with a single standard expert and complete autonomous assistive system. Keywords: IoT; Smart Farming; Sensors; Cloud; Microcontroller; Machine Learning. |
A Novel Traffic System for Detecting Lane-Based Rule Violation Md. Azmol Fuad, Faed Ahmed Arnob, Abu Tahir Nizam and Md. Motaharul Islam Abstract: In recent years, there have been a rise in the number of problems in the existing traffic management system particularly in the developing countries such as Bangladesh, India and Vietnam. Due to this, many accidents have occurred every now and then. Violating the traffic rules such as unpermitted change of lanes and over speeding are the two main reasons for increased number of accidents. In this paper, an attempt is made to solve the problem using Raspberry-pi and OpenCV contour detection technology. A prototype device has been developed to solve the problems regarding lane-based rule violations. The device will be installed in traffic surveillance cameras which will be connected to the metropolitan traffic servers. The device will communicate with the server via Gigabit Ethernet. It will also increase the time efficiency and reduce the manual monitoring cost. Moreover, it will help the traffic management department to find the person responsible for traffic rule violation and assist them to apply the laws strictly. The main contribution of this article is to develop a device that will detect any kind of unpermitted lane changes by any vehicles and identify the license plates. The proposed model has about 80% accuracy according to our evaluation. Keywords: OpenCV contour; License Plate Recognition; Hough Line Transform; KNN Algorithm; Canny Edge detection; Gaussian Blur; Network Attached Storage. |
Power-saving Asynchronous Quorum-based Protocols for Maximal Neighbour Discovery Mehdi Imani, Maaruf Ali and Hamid R. Arabnia Abstract: The discovery of neighbouring active nodes is one of the most challenging problems in asynchronous ad hoc networks. Since time synchronization is extremely costly in these networks, application of asynchronous methods like quorum-based protocols have attracted increased interest for their suitability. This is because Quorum-based protocols can guarantee that two nodes with differing clock times have an intersection within at least one timeslot. A higher neighbour discovery rate of active nodes is desired, but it also results in a higher active ratio and consequently and adversely more overall power consumption of the nodes and a shorter network lifetime. There must be a trade-off between extensive neighbour discovery and active ratio in order to design high-performance and efficient protocols. In this paper, two novel asynchronous quorum-based protocols to maximize the neighbour discovery and minimize the active ratio have been designed and presented. A new metric (Quorum Efficiency Ratio: QER) has also been designed to evaluate and compare the performance of quorum-based protocols in terms of their neighbour discovery (the Expected Quorum Overlap Size: EQOS) and the active ratio. The EQOS has been theoretically derived, along with the Active Ratio and the QER values for the proposed novel protocols and the other contemporary protocols. Finally, the proposed methods have been evaluated and compared against the other methods based on the current metrics and the new metric. Keywords: Quorum-based protocols; Neighbour discovery; Duty cycle protocols; Wireless sensor networks; Power-saving protocols; Ad hoc networks. |
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