AD HOC is characterized by simple organizing, low cost, strong survival ability, and adaptation to many applications and so on. The routing principles play an important role in the realization of the above target. This paper presents and discusses some basic principles of routing and pays high attention to how these differ from conventional routing.

Routing in AD HOC Networks of Mobile Hosts

Mobile devices are increasingly becoming an indispensable part of people’s daily life, facilitating to perform a variety of useful tasks. Mobile cloud computing integrates mobile and cloud computing to expand their capabilities and benefits and overcomes their limitations, such as limited memory, CPU power, and battery life. Big data analytics technologies enable extracting value from data having four Vs: volume, variety, velocity, and veracity. This paper discusses networked healthcare and the role of mobile cloud computing and big data analytics in its enablement. The motivation and development of networked healthcare applications and systems is presented along with the adoption of cloud computing in healthcare. A cloudlet-based mobile cloud-computing infrastructure to be used for healthcare big data applications is described. The techniques, tools, and applications of big data analytics are reviewed. Conclusions are drawn concerning the design of networked healthcare systems using big data and mobile cloud-computing technologies. An outlook on networked healthcare is given.

/pdf/mobile-cloud-computing-model-and-big-data-analysis-for-1m7dqdfgsq.pdf

Mobile Cloud Computing Model and Big Data Analysis for Healthcare Applications

Book review: Applied cryptography: Protocols, algorithms, and source code in C

On cloud security requirements, threats, vulnerabilities and countermeasures: A survey

Thank you for downloading what engineers know and how they know it. As you may know, people have look hundreds times for their favorite books like this what engineers know and how they know it, but end up in harmful downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they juggled with some harmful virus inside their laptop. what engineers know and how they know it is available in our digital library an online access to it is set as public so you can download it instantly. Our book servers saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the what engineers know and how they know it is universally compatible with any devices to read.

What Engineers Know And How They Know It

A Secure Cloud Computing Model based on Data Classification

In the past few years, various lightweight cryptographic algorithms have been proposed to balance the trade-offs between the requirements of resource constrained IoT devices and the need to securely transmit and protect data. However, it is critical to analyze and evaluate these algorithms to examine their capabilities. This paper provides a thorough investigation of the randomness of ciphertext obtained from Simeck, Kasumi, DES and AES. The design of our randomness analysis is based on five metrics implemented following the guidance of the NIST statistical test suite for cryptographic applications. This analysis also provides performance and power consumption evaluations for the selected cryptographic algorithms using different platforms and measures. Results from the evaluation reveal that lightweight algorithms have competitive randomness levels, lower processing time and lower power consumption when compared to conventional algorithms.

Software randomness analysis and evaluation of lightweight ciphers: the prospective for IoT security

Cloud computing is a very useful solution to many individual users and organizations. It can provide many services based on different needs and requirements. However, there are many issues related to the user data that need to be addressed when using cloud computing. Among the most important issues are: data ownership, data privacy, and storage. The users might be satisfied by the services provided by the cloud computing service providers, since they need not worry about the maintenance and storage of their data. On the other hand, they might be worried about unauthorized access to their private data. Some solutions to these issues were proposed in the literature, but they mainly increase the cost and processing time since they depend on encrypting the whole data. In this paper, we are introducing a cloud computing framework that classifies the data based on their importance. In other words, more important data will be encrypted with more secure encryption algorithm and larger key sizes, while less important data might even not be encrypted. This approach is very helpful in reducing the processing cost and complexity of data storage and manipulation since we do not need to apply the same sophisticated encryption techniques to the entire users data. The results of applying the proposed framework show improvement and efficiency over other existing frameworks.

Secure and Efficient Cloud Computing Framework

Traffic-aware routing protocols have recently received considerable attention. This has been motivated by the role that it could play in extending the network's lifetime (or operational time) as it target the reservation of node's power and better utilisation of channel bandwidth, which could lead to performance improvement in terms of important performance metrics including throughput and end-to-end delay. Traffic-aware techniques can be classified into two categories, namely end-to-end and on-the-spot, based on the way of establishing and maintaining routes between any source and destination. Although there has been much work on both categories, there has been no comparative performance study of the two approaches. To the best of our knowledge, this is the first work that carries out such a performance comparison. To this end, we have adapted our traffic-aware technique namely load density to suggest a new ‘on-the-spot’ traffic-aware technique. The main reason for doing this adaptation is to ensure that the comparison between the two approaches is fair and realistic. The study will reveal the main performance characteristics of the two approaches under various traffic and network conditions. Copyright © 2011 John Wiley & Sons, Ltd.

Performance comparison of end-to-end and on-the-spot traffic-aware techniques

Mobile ad hoc networks (MANETs) have dynamic irregular topologies by nature, and suffer from inherent limitations such as limited bandwidth and power. A number of routing protocols have been proposed in the past few years to deal with these issues efficiently. The paper proposes and evaluates a new routing protocol, referred to here as the vector routing protocol (VRP). One of the main features of the VRP is its lower communication overhead to establish a route from source to destination. Results obtained through simulation experiments reveal that the new VRP algorithm achieves a lower communication overhead than the well known DSDV and AODV protocols, especially in low mobility environments.

Raad S. Al-Qassas

Papers

A Secure Cloud Computing Model based on Data Classification

Software randomness analysis and evaluation of lightweight ciphers: the prospective for IoT security

Secure and Efficient Cloud Computing Framework

Performance comparison of end-to-end and on-the-spot traffic-aware techniques

Bandwidth-efficient routing protocol for mobile ad hoc networks