Pros And Cons Of Data Security

This paper gives a clear understanding on the current state of art on the IoT. The primary idea of the IoT concept is the pervasive existence around us of a wide range of things such as Radio-Frequency Identification (RFID) tags, actuators, sensors, mobile phones, etc. These are able to communicate with each other and collaborate with their neighbors to reach collective goals through distinctive addressing scheme.

We plan to split the total infrastructure system into 4 layers to receive context supported e-services out of raw data from the internet of things as shown in fig. 1. These 4 layers establish a generic framework that does not alter the current network infrastructure but create an interfacing among services

Edge computing confines data processing of IoT/big data applications to local servers on the network edge so as to reduce network bandwidth consumption. In the process, it reduces latency by offloading some of the computation-intensive work that was supposed to be done entirely on the cloud

A group of wireless sensor nodes (devices) dynamically constructs a temporary network without the exercise of any pre-existing network infrastructure or centralized administration. The main goal of ad-hoc networking is multihop broadcasting in which packets are transferred from source node to destination node through the intermediate nodes (hops). The main function of multi hop WSN is to enable communication between two terminal devices through a bit of middle nodes, which are transferring information from one level to another level. On the foundation of network connectivity, it dynamically gets to determine that which nodes should get included in routing, each node involved in routing transmit the data to further

Proposed system is a cooperative system in which each host will monitor its surrounding nodes and maintain a database about the transmission of its own as well as its neighbor nodes transmission.

A WSN is a type of wireless networks that consists of collection sensor nodes which are tiny devices. Each sensor node of the network has different processing capability. It may contain multiple types of memory (program, data and flash memories), have a RF transceiver, have a power source (e.g., batteries and solar cells), and accommodate various sensors and actuators. The nodes communicate wirelessly and often self-organize after being deployed in an ad hoc fashion [13, 14]. Optimum need of each sensor node is to maximize its own utility function. Also the whole network requires resource assignments balance to perform in a useful and efficient way. This chapter presents a brief survey on WSNs showing its types, characterizing features, protocols and applications.

This paper gives insight into the design and implementation of dynamo, a key value store that throws light on availability and reliability. The availability is achieved by sacrificing consistency of data under certain failure scenarios.

Securing data that is sensitive for businesses is more important today because of how vulnerable data is, compared to what it has ever been. National security information, corporate trade secrets, social security numbers, personal medical records, and credit card information are all used, transmitted, and stored on the internet and other multimedia devices.

User can store their data on cloud and reveal from the local data storage and its maintenance. Cloud is in a distributive in nature includes shared pool of configuring resources both in hardware and software. As an increasing number of clients who store their

A common pitfall in cloud security is the temptation to deploy the same security solutions for dedicated physical servers and endpoints to virtual machines in data centres and in the cloud. This article explains the trouble with virtual security and why, if you’re still relying on traditional security methods, you might be at risk.

The cloud metaphor has been very effective in allowing organizations to better understand the Internet, particularly how their data can be accessed quickly from almost anywhere and leveraged when needed. However, it can be easy to overlook the fact that the centers that safeguard cloud-stored data are not located somewhere “up there,” but are in fact very real physical spaces (Chris, 2015).

Edge devices including CPE (consumer premise equipment), autonomous/connected cars, sensors, meters, IoT devices, etc. are constantly generating huge amounts of data that needs to be processed. To improve efficiency, telecom service providers are looking for ways to move processing closer to where the data is generated. This will involve an architectural shift from centralized processing centers to a distributed model; for example, instead of 3-5 regional data centers, multiple exchanges or PoP (Point of Presence), there will be hundreds of thousand “mini” data centers residing within devices at the edge.

The National Institute of Standards and Technology describes cloud storage as a model for enabling ubiquitous, on-demand network access to a shared configurable computing resources that can be swiftly accessed and released with minimal effort or service provider collaboration. It is comprised of a collection of hardware and software that allows the infrastructure of the cloud to work in a seamless, unified effort. Depending on the classification of information and the service provider the remote servers can be located within the same facility. The stored data is

The Internet of Things is a vision of a global network that connects various physical world objects to the IT infrastructure. This vision has been inspired by the success made in emerging technologies such as Radio-Frequency IDentification (RFID), wireless sensor networks, and mobile communication. The realisation of such a global object network will allow seamless interaction and cooperation between the real and logical world.

Vehicular networks consist of in-vehicle networks and vehicular ad hoc networks (VANETs). The in-vehicle network consists of several Electronic Control Units (ECUs) connected to each other using different communication protocols like Controller Area Network (CAN), Local Interconnect Network (LIN), etc. [3]. The in-vehicle network helps in implementing applications like climate control, engine management, transmission etc. VANETs include vehicle to vehicle (V2V) communication and vehicle to infrastructure (V2I) communication; the combination of which enables in making driving safer and better.