Comparison study of machine learning classifiers to detect anomalies

In this era of Internet ensuring the confidentiality, authentication and integrity of any resource exchanged over the net is the imperative. Presence of intrusion prevention techniques like strong password, firewalls etc. are not sufficient to monitor such voluminous network traffic as they can be breached easily. Existing signature based detection techniques like antivirus only offers protection against known attacks whose signatures are stored in the database.Thus, the need for real-time detection of aberrations is observed. Existing signature based detection techniques like antivirus only offers protection against known attacks whose signatures are stored in the database. Machine learning classifiers are implemented here to learn how the values of various fields like source bytes, destination bytes etc. in a network packet decides if the packet is compromised or not . Finally the accuracy of their detection is compared to choose the best suited classifier for this purpose. The outcome thus produced may be useful to offer real time detection while exchanging sensitive information such as credit card details

Policy resolution of shared data in online social networks

Online social networks have practically a go-to source for information divulging, social exchanges and finding new friends. The popularity of such sites is so profound that they are widely used by people belonging to different age groups and various regions. Widespread use of such sites has given rise to privacy and security issues. This paper proposes a set of rules to be incorporated to safeguard the privacy policies of related users while sharing information and other forms of media online. The proposed access control network takes into account the content sensitivity and confidence level of the accessor to resolve the conflicting privacy policies of the co-owners

Trust Enhanced Role Based Access Control Using Genetic Algorithm

Improvements in technological innovations have become a boon for business organizations, firms, institutions, etc. System applications are being developed for organizations whether small-scale or large-scale. Taking into consideration the hierarchical nature of large organizations, security is an important factor which needs to be taken into account. For any healthcare organization, maintaining the confidentiality and integrity of the patients’ records is of utmost importance while ensuring that they are only available to the authorized personnel. The paper discusses the technique of Role-Based Access Control (RBAC) and its different aspects. The paper also suggests a trust enhanced model of RBAC implemented with selection and mutation only ‘Genetic Algorithm’. A practical scenario involving healthcare organization has also been considered. A model has been developed to consider the policies of different health departments and how it affects the permissions of a particular role. The purpose of the algorithm is to allocate tasks for every employee in an automated manner and ensures that they are not over-burdened with the work assigned. In addition, the trust records of the employees ensure that malicious users do not gain access to confidential patient data

Predicting depression using deep learning and ensemble algorithms on raw twitter data

Social network and microblogging sites such as Twitter are widespread amongst all generations nowadays where people connect and share their feelings, emotions, pursuits etc. Depression, one of the most common mental disorder, is an acute state of sadness where person loses interest in all activities. If not treated immediately this can result in dire consequences such as death. In this era of virtual world, people are more comfortable in expressing their emotions in such sites as they have become a part and parcel of everyday lives. The research put forth thus, employs machine learning classifiers on the twitter data set to detect if a person’s tweet indicates any sign of depression or not

Understanding business model canvas for smart cities: A theoretical review

This is an accepted manuscript of an article published by British Academy of Management in BAM Conference in the Cloud Proceedings. The accepted version of the publication may differ from the final published version.Cities form a major progress in the advancement of a country’s economy. Cities are defied with increasing population growth and need to implement smart solutions to become more buoyant to economic, environmental, and social challenges posed by ongoing urbanization. Developing a smart city in a developing economy becomes a challenge with the other forefront challenges. The high amount of initial financial investments needed for consolidation of different departments and sectors and lack of a systemic approach may have a negative impact on industry growth. Cities benefit from a transparent overview of best practice solutions to become smarter and from identifying best-suited solution providers. Companies that make cities smarter benefit from becoming more visible to cities around the globe with their newly developed or proven solutions. Business models help accelerate the adoption of smart technologies. This paper conducts a theoretical review on the concept of business model canvas for smart cities. It studies the economics of smart cities globally. Case studies of smart cities around the globe are discussed with the conduction of business model canvas for different services. The case studies are reviewed to understand the importance and challenges of the application of business model canvas for different services in smart cities. Smart cities will eventually deliver true convergence of lifestyle and technology and improve the overall quality of life for citizens

Innovative business models for smart cities – A systematic review

Cities are the engines of growth for a nation. Smart technologies can help address the urban challenges and improve quality of life, economic opportunity, and liveability for citizens. Cities benefit from a transparent overview of best practice solutions to become smarter and from identifying best-suited solution providers. Companies that make cities smarter benefit from becoming more visible to cities around the globe with their newly developed or proven solutions. Innovative business models help accelerate the adoption of smart technologies. Various funding mechanisms have been used by cities to develop smart city projects. However, it has been revealed that the literature does not provide enough thoughts on these concepts. This paper provides an insight to the concept of innovative business models and the adoption of these in smart cities. Further the paper advances the understanding on the evolving business models and city procurement policies that could be used to accelerate smart city development. The paper seeks to address the question: What are the challenges faced by organisations and smart cities to develop a successful innovative business model? Cities have designed well defined strategies and are in the process of developing strategies for smart city. The paper address the challenges and functions of an innovative business model for development of smart citie

Investigation of nano lipid vesicles of methotrexate for anti-rheumatoid activity

Prabhakara Prabhu1, Rakshith Shetty1, Marina Koland1, K Vijayanarayana3, KK Vijayalakshmi2, M Harish Nairy1, GS Nisha11Department of Pharmaceutics, Nitte University, NGSM Institute of Pharmaceutical Sciences, Paneer, Deralakatte, Mangalore, Karnataka, India; 2Department of Applied Zoology, Mangalore University, Konaje, Mangalore, Karnataka, India; 3Department of Pharmacy Practice, Manipal University, Manipal College of Pharmaceutical Sciences, Manipal, Karnataka, IndiaBackground: The purpose of this study was to formulate and evaluate nano lipid vesicles of methotrexate (MTX) for its anti-rheumatoid activity.Methods: In this study the principle of both active as well as passive targeting using MTX-loaded stealth liposomes as per the magic gun approach was followed. Stealth liposomes of MTX were prepared by thin-film hydration method using a PEGylated phospholipid-like DSPE-MPEG 2000. Similarly, conventional liposomes were prepared using phospholipids like DPPC and DSPC. Conventional liposomes were coated with a hydrophilic biocompatible polymer like chitosan. They were investigated for their physical properties and in vitro release profile. Further, in vivo screening of the formulations for their anti-rheumatoid efficacy was carried out in rats. Rheumatoid arthritis was induced in male Wistar-Lewis rats using complete Freund’s adjuvant (1 mg/mL Mycobacterium tuberculosis, heat killed in mineral oil).Results: It was found that chitosan coating of the conventional liposomes increased the physical stability of the liposomal suspension as well as its entrapment efficiency. The size of the unsonicated lipid vesicles was found to be in the range of 8–10 µm, and the sonicated lipid vesicles in the range of 210–260 nm, with good polydispersity index. Further, chitosan-coated conventional liposomes and the PEGylated liposomes released the drug for a prolonged period of time, compared to the uncoated conventional liposomes. It was found that there was a significant reduction in edema volume in the rat group administered with the test stealth liposomal formulations and chitosan-coated conventional liposomes (PEGylated and chitosan-coated conventional) compared to that of the control and standard (administered with free MTX) group of rats. PEGylated liposomes showed almost equal efficacy as that of the chitosan-coated conventional liposomes.Conclusion: Lipid nano vesicles of MTX can be administered by intravenous route, whereby the drug selectively reaches the target site with reduced toxicity to other organs.Keywords: methotrexate, stealth liposomes, conventional liposomes, chitosan coating, targeted delivery, anti-rheumatoid efficac

Evaluation of the role of smart city technologies to combat COVID-19 pandemic

This is the accepted manuscript of a conference paper delivered at Recovering from COVID: Responsible Management and Reshaping the Economy, 35th British Academy of Management Conference, the 31st August - 3rd September, Lancaster University Management School, United Kingdom.Shetty, N., Renukappa, S., Suresh, S. & Algahtan, K. (2021) Evaluation of the role of smart city technologies to combat COVID-19 pandemic, presented at Recovering from COVID: Responsible Management and Reshaping the Economy, 35th British Academy of Management Conference, the 31st August - 3rd September, Lancaster University Management School, United Kingdom

Smart city business models – A systematic literature review

Business models have routed its way through smart cities. This, being an important phenomenon for an organisations success the concept has not been defined accurately. Literature review defines this as fuzzy and vague concept despite its importance to organisations is tremendous. This paper advances our understanding of the business model concept by reviewing the different types of business models and business model definitions following a systematic literature review approach. The paper progresses with a comparison between the businesses models developed for the smart cities domain. The paper seeks to address the question - How are smart cities going to generate economic value?Published versio

Inhaled corticosteroids and adverse outcomes among chronic obstructive pulmonary disease patients with community-acquired pneumonia: a population-based cohort study

IntroductionWhile inhaled corticosteroids (ICS) may increase pneumonia risk in patients with chronic obstructive pulmonary disease (COPD), the impact of ICS on pneumonia outcomes is debated. We examined whether ICS use is associated with adverse outcomes among COPD patients with community-acquired pneumonia (CAP).Materials and methodsPopulation-based cohort study of all COPD patients with an incident hospitalization for CAP between 1997 and 2013 in Northern Denmark. Information on medications, COPD severity, comorbidities, complications, and death was obtained from medical databases. Adjusted risk ratios (aRRs) for pleuropulmonary complications, intensive care unit (ICU) admissions, and 30-day mortality in current and former ICS users were compared with those in non-users, using regression analyzes to handle confounding.ResultsOf 11,368 COPD patients with CAP, 6,073 (53.4%) were current ICS users and 1,733 (15.2%) were former users. Current users had a non-significantly decreased risk of pleuropulmonary complications [2.6%; aRR = 0.82 (0.59–1.12)] compared to non-users (3.2%). This was also observed among former users [2.5%; aRR = 0.77 (0.53–1.12)]. Similarly, decreased risks of ICU admission were observed among current users [aRR = 0.77 (0.57–1.04)] and among former users [aRR = 0.81 (0.58–1.13)]. Current ICS users had significantly decreased 30-day mortality [9.1%; aRR = 0.72 (0.62–0.85)] compared to non-users (12.6%), with a stronger association observed among patients with frequent exacerbations [0.58 (0.39–0.86)]. No significant association was observed among former ICS users [0.89 (0.75–1.05)].ConclusionOur results suggest a decreased risk of death with ICS use among COPD patients admitted for CAP