Methods to Prevent Future Severe Animal Welfare Problems Caused by COVID-19 in the Pork Industry

In the U.S., the most severe animal welfare problems caused by COViD-19 were in the pork industry. Thousands of pigs had to be destroyed on the farm due to reduced slaughter capacity caused by ill workers. In the future, both short-term and long-term remedies will be needed. In the short-term, a portable electrocution unit that uses scientifically validated electrical parameters for inducing instantaneous unconsciousness, would be preferable to some of the poor killing methods. A second alternative would be converting the slaughter houses to carcass production. This would require fewer people to process the same number of pigs. The pandemic revealed the fragility of large centralized supply chains. A more distributed supply chain with smaller abattoirs would be more robust and less prone to disruption, but the cost of pork would be greater. Small abattoirs can coexist with large slaughter facilities if they process pigs for specialized premium markets such as high welfare pork. The pandemic also had a detrimental effect on animal welfare inspection and third party auditing programs run by large meat buyers. Most in-person audits in the slaughter plants were cancelled and audits were done by video. Video audits should never completely replace in-person audits.

Elliptic Curve Digital Signature Algorithm for the Third Party Auditing

Cloud computing usage has been highly increased in past decades, and this has many features to effectively store, organize and process the data. The major concern in the cloud is that security is low and user requires verification process for the data integrity. Third Party Auditing (TPA) technique is applied to verify the integrity of data and various methods has been proposed in TPA for effective performance. The existing methods in TPA has the lower performance in communication overhead and execution time. In this research, Elliptic Curve Digital Signature (ECDS) is proposed to increase the efficiency of the TPA. Bilinear mapping technique is used for verification process without retrieving the data and this helps to reduce the communication overhead. The performance of ECDA is measured and compared with the existing method to analyze the performance.

‘MARKING THEIR OWN HOMEWORK’: TRUST AND AUDIENCE MEASUREMENT IN THE AUSTRALIAN DIGITAL ADVERTISING INDUSTRY

This paper examines how the Australian advertising industry debates trust in the infrastructures of digital advertising. The advertising industry is undergoing a major change as digital advertising is increasingly dominated by new advertising technology (adtech) players and major tech companies such as Facebook and Google. These new companies which rely on automated systems of ad targeting, pricing and placement to control large amounts of digital advertising inventory and offer new more ‘efficient’ ways to micro-target advertising. Yet these companies have garnered reputations for misrepresenting their numbers; a problem compounded by Google and Facebook’s reticence to provide independent audience verification. This has led to a high degree of mistrust from Australian advertisers. Neither Google or Facebook offers serious third-party auditing, leading many in the advertising industry to say that they are ‘marking their own homework’. In this paper I ask, how is trust of measurement and verification infrastructures debated within the digital advertising industry? Is it fair to compare businesses that distribute advertising in very different ways? I answer these questions through qualitative analysis of submissions made to the Australian Competition and Consumer Commission (ACCC) as part of its current Digital Platforms Inquiry (DPI) in 2018 and 2019. I also draw on summaries of four public forums the ACCC held in 2018 as well as wide reading in the advertising industry trade press. This paper aims to contribute to a better understanding of the role standards and measures play within industry and how they relate to trust during industry transformation.

Secure Cloud Storage using Secret Key Sharing and Proxy Re-Encryption Based Third Party Auditing Service

Cloud Computing (CC) provides an easy way to access and store the information by vast remote servers, instead of using personal computer. There is no physical control over personal data by user, hence some security issues may arise for users and organization to secure the data in cloud. The sensitive data can be hacked by attackers, so the integrity of data stored in cloud is a major concern for users. In this research work, the data integrity can be ensured by using Third Party Storage Auditing Service (TPSAS), where it satisfies all the requirements of users in cloud. The ultimate aim of this research is to avoid the unauthorized access of user’s data stored in the cloud. In this paper, two major problems are considered for attaining the integrity of data in the cloud. The first one is, the unauthorized user tries to modify the data, which is solved by the proposed TPSAS. The second problem considered in this research is, since the Cloud Service Provider (CSP) is semi trustable it can be malfunctioned at any time, which can be solved based on the secure secret key sharing algorithm and proxy re-encryption methodology. The secure secret key sharing is implemented based on the Shamir key sharing algorithm and the proxy re-encryption process is implemented based on the bear and lion proxy re-encryption methodology.

Enforcing security in cloud environment using elliptic curve cryptography and third party auditing

This paper has been withdrawn.