Dinesh Harkut

Real-time Scheduler For Wireless Sensor Network : A Review

With the great advancement in the area of embedded systems and sensor technology, a wireless sens... more With the great advancement in the area of embedded systems and sensor technology, a wireless sensor networks (WSNs) attract a great deal of research attention and this technology are widely used in the number of applications related to variety of fields including military, healthcare monitoring, biological, home, vehicular monitoring, infrastructure monitoring, building energy monitoring and industrial sensing. Many of applications in WSNs are real time applications that are requested to run in real time way. To support such real time applications we need Real Time Operating System (RTOS) which provides logically correct results and also deadline has to be met. This paper presents an overview of existing work in sensornet operating system (OS) design. Then, the specialties what sensornet OS should posses are discussed in detail. Next, we discuss scheduling algorithms to be used for real time systems. At last, we proposed Micro Controller OS-II (µC/OS-II) with Earliest Deadline First (EDF) algorithm.

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Authentication Model for Location based Queries

International journal of security and its applications, Apr 30, 2015

The popularity of location-based services leads to serious concerns on user privacy. It is very e... more The popularity of location-based services leads to serious concerns on user privacy. It is very easy for a person to know his/her location with the help of devices having GPS facility. When user's location is provided to Location Based Services (LBS), it is possible for user to know all location dependent information like location of friends or Nearest Restaurant, weather or traffic conditions. The massive use of mobile devices paves the way for the creation of wireless networks that can be used to exchange information. When the exchange of information is done amongst entrusted parties, the privacy of the user could be in harmful. Existing protocol doesn't work on many different mobile devices and another issue is that, Location Server (LS) should provide misleading data to user. This gives rise to new challenges and reconsideration of the existing privacy metrics.

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Real-time Scheduler For Wireless Sensor Network : A Review

International journal of engineering research and technology, Jun 12, 2013

With the great advancement in the area of embedded systems and sensor technology, a wireless sens... more With the great advancement in the area of embedded systems and sensor technology, a wireless sensor networks (WSNs) attract a great deal of research attention and this technology are widely used in the number of applications related to variety of fields including military, healthcare monitoring, biological, home, vehicular monitoring, infrastructure monitoring, building energy monitoring and industrial sensing. Many of applications in WSNs are real time applications that are requested to run in real time way. To support such real time applications we need Real Time Operating System (RTOS) which provides logically correct results and also deadline has to be met. This paper presents an overview of existing work in sensornet operating system (OS) design. Then, the specialties what sensornet OS should posses are discussed in detail. Next, we discuss scheduling algorithms to be used for real time systems. At last, we proposed Micro Controller OS-II (µC/OS-II) with Earliest Deadline First (EDF) algorithm.

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Introductory Chapter: Search Algorithm - Essence of Optimization

IntechOpen eBooks, Feb 1, 2023

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Cloud data security using attribute-based key-aggregate cryptosystem

2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2016

Cloud technology is very constructive and useful in present new technological era, where a person... more Cloud technology is very constructive and useful in present new technological era, where a person uses the internet and the remote servers to give and maintain data as well as applications. It offers smart accessibility and dependability, disaster recovery and lowest price. Though it provides flexibility of data and application accessing, sharing of data and usage, there are many security concerns related to cloud, such as how to protect data and applications in cloud from hackers and intruders. Cloud storage should be able to store and share data securely, efficiently, and flexibly with others in cloud storage. Hence to achieve cloud data security, we are proposing a constant size ciphertext key based cryptosystem that uses attribute based aggregate key. In this cryptosystem, to access the data stored over cloud, an aggregate key is shared based on the attributes of a user. Data owner shares an aggregate key only to those users whose attributes gets matched with the security policy. This paper also includes a literature reviewed on previous work done in this domain and conclusion drawn from the research over the years.

An Overview of Constraints of Operating Systems Used in IoT Devices

Algorithms for Intelligent Systems, 2021

Internet of things is a technological development which is playing salient role in making the wor... more Internet of things is a technological development which is playing salient role in making the world as “SMART”. Due to increasing use of gadgets and various technical advancements, it needs to upgrade the platform required for it. The heart of any IoT device is its operating system. IoT devices mainly exist in small size, use less memory and run with less energy having high throughput. These scant resources are run by specially designed dedicated small size operating system to reinforce IoT devices with varied applications and diversely useful specifications. In IoT devices operating system plays an important role to manage the needful components of operating system in a proper manner. This paper discusses IoT devices with its operating systems in concern with resource management techniques. Its major focus is power management, memory management, process management and scheduling algorithms.

An Adaptive Task Scheduling in Fog Computing

IntechOpen eBooks, Nov 22, 2022

Internet applications generate massive amount of data. For processing the data, it is transmitted... more Internet applications generate massive amount of data. For processing the data, it is transmitted to cloud. Time-sensitive applications require faster access. However, the limitation with the cloud is the connectivity with the end devices. Fog was developed by Cisco to overcome this limitation. Fog has better connectivity with the end devices, with some limitations. Fog works as intermediate layer between the end devices and the cloud. When providing the quality of service to end users, scheduling plays an important role. Scheduling a task based on the end users requirement is a tedious thing. In this paper, we proposed a cloud-fog task scheduling model, which provides quality of service to end devices with proper security.

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Optimized Handover Mechanism for Proxy Mobile IPv6

With the rapid growth of the number of mobile devices, the demand of getting the Internet service... more With the rapid growth of the number of mobile devices, the demand of getting the Internet services anytime and anywhere is becoming increasingly urgent. Mobile IP protocols provide mobility support for IP nodes at the network layer. There are currently two version of Internet Protocol (IP): IPv4 and a new version called IPv6. IPv6 is a network-side mobility management protocol, an evolutionary upgrade to the Internet Protocol proposed in 2008. (IPv6) provides an identification and location system for computers on networks and routes traffic across the Internet(20). The roaming facility is provided to the users using mobile IP by the help of two models: Network-based and Host based. Host based models has some weaknesses ,to overcomes that Network based mobility models allow Mobile Node (MN) to continue their IP sessions as they move from one Point of attachment (PoA) to another without the involvement of MN in the signaling or management of their movement. This makes the MN unaware o...

e-CRM â€“ Data Modeling Using Adaptive Neuro Fuzzy model

With customer increasingly demanding full-scale solutions, insurance companies like any other ser... more With customer increasingly demanding full-scale solutions, insurance companies like any other service industries are more and more forced to continuously increase their portfolio and services. This paper presents a cross-disciplinary conceptual framework for understanding electronic commerce. The definition of electronic commerce for this paper is commerce that directly utilizes combinations of computing and communications technologies in some or all aspects of the interactions between a business and its customers. Building and maintaining customer loyalty are important issues in electronic business. Customer loyalty and customer equity can be improved by providing customer services, sharing cost benefits with online customers, and rewarding the most valued customers. Personalization, which was earlier recognized as the 5th P of e-marketing, is now becoming a strategic success factor in the present customer-centric e-business environment. As customer also expects high quality and va...

Introductory Chapter: Data Assimilation

Dynamic Data Assimilation - Beating the Uncertainties, 2020

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Introductory Chapter: Cloud Computing

Cloud Computing - Technology and Practices, 2019

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Classical and Quantum Cryptography for Image Encryption & Decryption

2018 International Conference on Research in Intelligent and Computing in Engineering (RICE), 2018

Now a days, where all well aware about the internet and other means of sharing of multimedia info... more Now a days, where all well aware about the internet and other means of sharing of multimedia information between two parties which happens in public environment, so it is important to maintain the security of these kind of personal data which is stored at computers, on cloud or in the personal storage. There are many techniques which are used to provide authenticity, confidentiality, secrecy, and integrity to the data one of them is the Cryptography. In this paper, we survey and compare the existing work and concepts of Classical (Modern) Cryptography (CC) and Quantum Cryptography(QC) used for image encryption and decryption. Each encryption and decryption techniques have their strengths and weakness. In this paper, we focus on the selecting the best cryptography technique to be used for image encryption and decryption so that researchers can get idea about the selection of efficient cryptography technique.

Introductory Chapter: Cloud Computing Security Challenges

Cloud Computing Security - Concepts and Practice, 2020

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Cloud Computing Security [Working Title]

He also obtained his Masters Degree in Business Administration and Ph.D. (Business Administration... more He also obtained his Masters Degree in Business Administration and Ph.D. (Business Administration). His primary research interests are in computer AI, big data, analytics, embedded systems, and e-commerce. He has supervised around 18 Master degree and 24 Bachelor degree students. He has published 47 papers in refereed journals and published 6 books with international publishers. He has filed 2 patents and published in his name in India and organized various workshops, sessions, conferences, and trainings. He is a Member of the Board of Studies (Computer Science & Engineering

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Introductory Chapter: Artificial Intelligence - Challenges and Applications

Artificial Intelligence - Scope and Limitations, 2019

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Cloud Computing - Technology and Practices

Cloud Computing - Technology and Practices, 2019

In the era of the Internet of Things and Big Data, Cloud Computing has recently emerged as one of... more In the era of the Internet of Things and Big Data, Cloud Computing has recently emerged as one of the latest buzzwords in the computing industry. It is the latest evolution of computing, where IT recourses are offered as services. Cloud computing provides on-demand, scalable, device-independent, and reliable services to its users. The exponential growth of digital data bundled with the needs of analysis, processing and storage, and cloud computing has paved the way for a cheap, secure, and omnipresent computing framework allowing for the delivery of enormous computing and storage capacity to a diverse community of end-recipients. Clouds are distributed technology platforms that leverage sophisticated technology innovations to provide highly scalable and resilient environments that can be remotely utilized by organizations in a multitude of powerful ways. The term cloud is often used as a metaphor for the Internet and can be defined as a new type of utility computing that basically uses servers that have been made available to third parties via the Internet

Dynamic HW Priority Queue Based Schedulers for Embedded System

International Journal of Embedded Systems and Applications, 2015

A real-time operating system (RTOs) is often used in embedded system, to structure the applicatio... more A real-time operating system (RTOs) is often used in embedded system, to structure the application code and to ensure that the deadlines are met by reacting on events by executing the functions within precise time. Most embedded systems are bound to real-time constraints with determinism and latency as a critical metrics. RTOs are generally implemented in software, increases computational overheads, jitter and memory footprint. Modern FPGA technology, enables the implementation of a full featured and flexible hardware based RTOs, which helps in reducing to greater extent these overheads even if not remove completely. Scheduling algorithms play an important role in the design of real-time systems. An Adaptive Fuzzy Inference System (FIS) based scheduler framework proposed in this article is based on the study and conclusion drawn from the research over the years in HW SW co-design domain. The proposed novel two phase FIS based adaptive hardware task scheduler minimizes the processor time for scheduling activity which uses fuzzy logic to model the uncertainty at first stage along with adaptive framework that uses feedback which allows processors share of task running on multiprocessor to be controlled dynamically at runtime. This Fuzzy logic based adaptive hardware scheduler breakthroughs the limit of the number of total task and thus improves efficiency of the entire real-time system. The increased computation overheads resulted from proposed two phase FIS scheduler can be compensated by utilising the basic characteristics of parallelism of the hardware as scheduler being migrated to FPGA.

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e-CRM – Data Modeling Using Adaptive Neuro Fuzzy model

International Journal of Business and Information Technology, Jul 17, 2011

With customer increasingly demanding full-scale solutions, insurance companies like any other ser... more With customer increasingly demanding full-scale solutions, insurance companies like any other service industries are more and more forced to continuously increase their portfolio and services. This paper presents a cross-disciplinary conceptual framework for understanding electronic commerce. The definition of electronic commerce for this paper is commerce that directly utilizes combinations of computing and communications technologies in some or all aspects of the interactions between a business and its customers. Building and maintaining customer loyalty are important issues in electronic business. Customer loyalty and customer equity can be improved by providing customer services, sharing cost benefits with online customers, and rewarding the most valued customers. ‘Personalization’, which was earlier recognized as the 5th ‘P’ of e-marketing, is now becoming a strategic success factor in the present customer-centric e-business environment. As customer also expects high quality and variety of services when needed, insurance companies have to find ways to present the right service at the right moment and with the right quality. This paper presents a framework, showing a possibility to personalize e-business processes by adapting the interactive system to customer preferences. The research has empirically tested the critical factors that influence an individual’s decision when buying products or services online. The proposed model applies Adaptive Neuro-Fuzzy model to converging business processes to get the desired results based on the gaps found in the literature. The system is adaptive as it uses a neural network learning ability for its adaptation.

Hardware Support for Adaptive Task Scheduler in RTOS

Advances in Intelligent Systems and Computing, 2015

A real-time system is a system that reacts on event in the environment and executes functions bas... more A real-time system is a system that reacts on event in the environment and executes functions based on these within a precise time. Traditionally, because of these strict requirements where the system must not fail in any situation, systems have been constructed from hardware and software components specifically designed for real-time. In embedded system, a real-time operating system (RTOs) is often used to structure the application code and ensure that the deadlines are met. Generally RTOs are implemented in software, which in turns increases computational overheads, jitter and memory footprint which can be reduced even if not remove completely by utilizing latest FPGA technology, which enables the implementation of a full featured and flexible hardware based RTOs. This article is a survey focusing on describing previous work in this domain and conclusion drawn from the research over the years. This paper also proposes the novel FIS based adaptive hardware task scheduler which uses fuzzy logic to model the uncertainty at first stage along with adaptive framework that uses feedback which allows processors share of task running on multiprocessor to be controlled dynamically at runtime. The increased computation overheads resulted from proposed model can be compensated by exploiting the parallelism of the hardware as being migrated to FPGA.

A Novel Framework for Network Traffic Classification Using Unknown Flow Detection

2015 Fifth International Conference on Communication Systems and Network Technologies, 2015

The overall goal of any organization or enterprise is to ensure optimum use of the available netw... more The overall goal of any organization or enterprise is to ensure optimum use of the available network resources in supporting the attainment of the operations and hence its strategic objectives. The services offered by any organization or enterprise mainly include user support services. Network Traffic Analysis (NTA) is the inference of information from observation of unknown traffic flows, for example analysis of the presence, absence, amount, direction and frequency of traffic. Traffic flow is a sequence of packets sent from a particular source to a particular unicast, any cast or multicast destination that the sources desire to label as a flow. A flow could consist of all packets in a specific transport connection or a media stream. So NTA can be useful in taking various network based decisions such as traffic routing, bandwidth allocation, etc. This paper presents a novel framework for network traffic classification which can be extended for network traffic analysis based decision making.

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