Utilizing Social Media for Information Dispersal during Local Disasters: The Communication Hub Framework for Local Emergency Management

In today’s society, the use of social media has increased the public’s desire to receive information quickly and to be able to interact with communicators. During a disaster, the trend to turn to social media for information has risen in popularity. Society’s reliance on social media and quick access to information has led the field of emergency management and the role of a Public Information Officer to adapt to include social media as a crisis communication channel for information dispersal. Existing frameworks for the use of social media as a channel for crisis communications provide guidance for emergency management agencies across all levels of government but fail to account for the varying access to communication resources at the local level. Due to the differing access to communication resources and unique relationships with stakeholders at the local level, there is a need for guidance on how local emergency management agencies can use social media to disperse essential information. The proposed Communication Hub Framework utilizes local emergency management professionals’ relationships with key community stakeholders to aid in the distribution of essential information to community members via social media during a disaster.

Efficient Local Secret Sharing for Distributed Blockchain Systems

Blockchain system store transaction data in the form of a distributed database where each peer is to maintain an identical copy. Blockchain systems resemble repetition codes, incurring high storage cost. Recently, distributed storage blockchain (DSB) systems have been proposed to improve storage efficiency by incorporating secret sharing, private key encryption, and information dispersal algorithms. However, the DSB results in significant communication cost when peer failures occur due to denial of service attacks. In this project, we propose a new DSB approach based on a local secret sharing (LSS) scheme with a hierarchical secret structure of one global secret node and several local secret nodes. The proposed DSB approach with LSS improves the storage and recovery communication costs.

Reduction of Spatial Overhead in Decentralized Cloud Storage using IDA

Decentralized cloud storage reflects a significant change in large-scale storage performance and economy. Removing central control enables users to store and exchange data without depending on third-party storage [16] providers. Decentralization reduces the possibility of data failures and outages while increasing object storage protection and privacy at the same time. Decentralized cloud storage is where individuals or groups encouraged to enter, store, and keep data available are stored on a decentralized network through several locations. The servers used, rather than a single organization, are hosted by individuals. In this paper, an information dispersal algorithm is applied on decentralized cloud storage to reduce spatial overhead, which provides more efficient performance compared to the existing methodologies.

A Novel Grid-Based Data Broadcasting Scheme for Wireless Sensor Networks

A run-of-the-mill remote sensor arrange comprises numerous vitality compelled sensor hubs that are arbitrarily sent is the sensor field. Vitality is one of the most significant parts of planning an information dispersal convention for applications, for example, war zone checking, living space observing, and so on. We present EGDD, an Energy-effective Grid-based Data Dissemination plot for arbitrarily conveyed remote sensor systems. The proposed conspire is vitality effective for dealing with both sink and source portability. EGDD depends on a virtual framework-based foundation for information scattering from various versatile sources to different portable sinks. The virtual lattice of square size is built by the main source showing up in the sensor field dependent on the remaining vitality of the sensor hubs. Moreover, we proposed an askew sending calculation for inquiry and information sending which guarantees that just a single spread hub advances the question and information at once. In EGDD, substitute scattering hubs are chosen ahead of time during the lattice development procedure and the least limit vitality level is characterized for spread hubs. When the vitality of a dispersal hub arrives at the base edge esteem, it is supplanted by another spread hub. The reenactment results show that the proposed EGDD conspire is more vitality proficient when contrasted with other information scattering conventions.

Investment Media and Information Consumption

Post-market economies are driven by ownership or shareholding interests. We may consider ourselves to be living in societies driven by investment blocks - there is no doubt in our minds, given our awareness of the information blocks that compose media content, that the interests of these investment quarters in a globalized geo-economy is what determines how news is presented and consumed. What are the characteristics of investment-driven media scenarios? Our concept of media scenario differs from information dispersal models in brand capitalism and media franchise (Chomsky 2002; Golding et al 2012)? The disintegration of values of social responsibility in journalism is also apparent in the rise of investment driven journalism, with its absolute dependence on the mirror neuronal mechanics of social behavior, where the individual likes falling in with performance, and post-truth dialogue. But there are also options and limits of consensus within such discursive practice, and selective attention as the consumer betrays preference for information. We hypothesize that the new information media is a product of investment acts, and is fluid by nature, never innocent, and is always conditioned by local interest factors, and is as Barnett argues in a paper, a simulacrum of shareholder values (Barnett 2009).