International journal of computing and digital system/International Journal of Computing and Digital Systems, Jul 1, 2024
Negation is one of the challenges in sentiment analysis. Negation has an immense influence on how... more Negation is one of the challenges in sentiment analysis. Negation has an immense influence on how accurately text data can be classified. To find accurate sentiments of users this research identifies that the impact of negations in a sentence needs to be properly handled. Traditional approaches are unable to properly determine the scope of negations. In the proposed approach Machine learning (ML) is used to find the scope of negations. Moreover, the removal of negative stopwords during pre-processing leads to the flipped polarity of sentences. To resolve these challenges this research proposes a method for negation scope detection and handling in sentiment analysis. First, negation cue (negative words) and non cue words are determined, these negation cue and non cue words in addition to lexical and syntactic features determine the negation scope (part of sentence affected by cue) using the Machine Learning (ML) approach i.e. Conditional Random Fields (CRF). Subsequently, in negation handling the sentiment intensity of each token in a sentence is established, and affected tokens are processed to determine the final polarity. It is revealed that sentiment analysis with negation handling and calculated polarity gives 3.61%, 2.64%, 2.7%, and 1.42% increase in accuracy for Logistic regression, Support Vector Machine, Decision Tree (DT), and Naive Bayes (NB) consecutively for Amazon food products dataset. Consecutively, 9.4%, 3%, and 2% improvement for Logistic Regression (LR), Support Vector Machine (SVM), and Naive Bayes for electronic dataset.
International journal of engineering and advanced technology, Feb 29, 2020
In the advent of the cyber world, all know that cyber security is randomly used research area for... more In the advent of the cyber world, all know that cyber security is randomly used research area for researchers to secure host, network, and data because of increasingly complex attacks. In the advent of anomaly-based intrusion detection system, various techniques are applied to detect intrusion on system or network. This approach attains an extreme detection rate and accuracy but there may be overhead acquired to build and training them. The objective of this paper is to detect the intrusion of a system by proposing a Data mining technique which is based on supervised learning algorithm for training dataset. Artificial neural network (ANN) and Ant Colony Optimization (ACO) with feature selection are the basics of the proposed scheme. ACO work on a population-based algorithm and is motivated by the pheromone trail laying behavior of real ants, in which NSL-KDD Cup99 Dataset is used. Empirical Results clearly explain that the proposed system can attain an overall detection rate of 88% and time complexity of 0.343 sec, which is satisfactory when compared to other anomaly-based schemes.
The current status of DNA cryptography (biological) is much far away from real scenario and can b... more The current status of DNA cryptography (biological) is much far away from real scenario and can be carried out by only using chemical reactions in biological based laboratory. The present research work is an attempt to imitate biological DNA cryptography by an analogous computational mechanism for providing secure communication between sensor nodes in a wireless sensor network. This paper has its focus on the realization of a security framework which comprises of the application of a DNA congruous approach for encryption of data being transmitted by sensor nodes within a WSN. The framework consists of different phases including the encryption and decryption process involved between two nodes in a sensor network. The cryptography procedure is homogeneous to the structure and operations of DNA. Data hybridization includes the fusion of false data with real cipher that enhances the security and data compression has also been included in the framework with the contemplation of overcoming the limitations associated with WSNs.
Assessing the Efficacy of a Novel Fuzzy-based Clustering Algorithm for Mobile Agent Itinerary Planning in Wireless Sensor Networks using Validity Indices
Wireless Sensor Networks (WSN) are composed of small sensor nodes that either transmit their sens... more Wireless Sensor Networks (WSN) are composed of small sensor nodes that either transmit their sensed data to the sink node directly or transmit it to its respective cluster head, which then transmits it to the sink node. However, this consumes a lot of network bandwidth and energy from the constrained sensor nodes. To address these constraints, Mobile Agents (MA) paradigm can be used in WSNs, which may lead to better energy and bandwidth conservation. When a single mobile agent is insufficient to complete a task, multiple mobile agents can be deployed to perform in parallel and reduce network latency. The set of sensor nodes and their sequence that MAs must migrate to complete a task is called an itinerary. The planning of the itinerary is the most prominent and significant issue related to the MA-based system, including the determination of an appropriate number of MAs to be dispatched, determining the set of sensor nodes and their sequence to be visited by MAs. This paper proposes ...
Assessing Multi Mobile Agents in WSN with an Optimistic Approach for Cardinality Determination
In distributed systems, information, resources, and services are spread across different sites or... more In distributed systems, information, resources, and services are spread across different sites or hosts. These sites serve as platforms for accessing the necessary resources and performing actions. The data is stored in various formats and levels of accuracy and reliability. This has led to the development of mobile agent technology, which enables the retrieval of valuable information from distributed systems even in resource-limited environments. Mobile agents migrate across the network, utilizing the computational resources of each host they visit, including CPU, file structure, and memory. Unlike traditional methods, mobile agents do not require a stable connection to migrate, allowing efficient access to distributed system resources. They contribute to saving network bandwidth, improving robustness, and enhancing fault tolerance in distributed systems. This research paper aims to characterize mobile agents and highlight their advantages. Mobile agents have a wide range of applic...
International Journal of Applied Management Science, 2023
An efficient algorithm DNA-based Symmetric Key Algorithm (DNA-SKA) for generating secret keys for... more An efficient algorithm DNA-based Symmetric Key Algorithm (DNA-SKA) for generating secret keys for sensor nodes is proposed in this paper. The key feature of the proposed algorithm is the usage of a DNA sequence as an initial key which is proffered to be selected from National Council of Biotechnological Information (NCBI) database available publically. Authentication process is required to make a secure communication between nodes. The Base Station then provides both nodes with two unique DNA strands generated by the unwinding of a single DNA molecule selected from NCBI database. The nodes then perform a simple but ingenious mechanism on the strands to obtain a similar symmetric key to be used for further encryption of the data to be communicated between the nodes. Computationally, it is a lightweight algorithm and better suitable for devices like sensor nodes because of their limited computing resources.
International Journal of Computer Applications, 2017
Internet is being expanded because of the enhancement of today's networks and with these expansio... more Internet is being expanded because of the enhancement of today's networks and with these expansion different types of unauthorized activities building up to make the network vulnerable. Many researchers are working around the world to protect the systems from any kind of unauthorized access. In this study we have implemented an Intrusion Detection System based on K-Centroid Clustering and Genetic Algorithm to achieve a better detection rate and false positive rate. In our system training set is classified into different clusters based on K-Centroid clustering and then GA is performed to check each connection of the test set and finally result has been obtained for every specific connection. We have used both Kdd99Cup and NSLKDD dataset to get the experiment result of our system. Finally analyzing with those data we have got a decent detection rate in our implemented system.
Vehicular Ad hoc Networks (VANET) became one of the most challenging research areas in the field ... more Vehicular Ad hoc Networks (VANET) became one of the most challenging research areas in the field of Mobile Ad hoc Networks (MANET). In VANET vehicles send emergency and safety messages from one control channel having a restricted bandwidth, which results in increasing collision to the channel. In this paper Differential Evolution (DE) optimization algorithm is used in vehicular ad hoc network. DE algorithm is used to choose which vehicle is the most suitable to act as cluster manager by minimizing the fitness function. Using various key metrics of interest including data packet delivery ratio, throughput, time complexity, a modified scheme based on Differential Evolution (DE) algorithm is proposed which is compared to the PSO based routing in VANET.
A number of various techniques have been already developed for providing security in sensor netwo... more A number of various techniques have been already developed for providing security in sensor networks. It may be anticipated that these techniques provide less secure sensor network which has numerous adverse effects associated with them. Thus there is a sufficient scope for improvement of secure electronic communication, as the proficiency of attacks is growing rapidly in wireless sensor networks. DNA steganography is a technique of covered writing, which provides secure system in sensor network to some extent. Steganography is more effective over cryptography as later one only conceals information but steganography obscures the information, as well as camouflage the data to various attackers. DNA steganography is an inventive approach to reduce the popularity of public key cryptography over the wireless sensor networks. In the proposed work, a secret key is introduced which is purely based on DNA sequence named as DNA stego key and is only known to sender and receiver. This DNA ste...
DNA-Based Cryptography for Security in Wireless Sensor Networks
Wireless sensor networks (WSNs) employ tiny nodes which accumulate information in various applica... more Wireless sensor networks (WSNs) employ tiny nodes which accumulate information in various applications and security is essential for sensor network applications, such as military target movement, etc. To impart security and privacy to tiny sensor nodes is challenging task due to the restricted capabilities of sensor nodes in terms of computation, communication, memory/storage, and battery power. This paper proposes DNA-based cryptography with the use of secure socket layer. It is exploratory research of biological based cryptosystem. As in conventional cryptography public/private key, pair is used for encryption/decryption process, we herein propose a DNA-based system in which the key pair is generated with the use of RSA algorithm and shared with SSL protocol. So, this proposed system resolves some of the problems related with sensor nodes and here we attain security in three stages, i.e., information security, computation security, and biological security.
A Review of Image Steganography Techniques: Development Trends to Enhance Performance
International Journal of Advanced Research in Computer Science, 2017
Steganography deals with the study of invisible information. It is the art and science of hiding ... more Steganography deals with the study of invisible information. It is the art and science of hiding the existence of message being sent so that except sender and receiver no one knows about the sent message. Secret message is hidden inside mediums like text, images, network and protocol. These are used as carrier to hide the secret message without any significant change in the carrier which is visible to human eye. This doesn’t cause any suspicion about the secret message. This paper presents the review of different security and data hiding techniques available that are used to implement the image steganography.
A Comprehensive Survey of VANET Architectures and Design
Vehicular ad hoc networks (VANETs) are suitable networks that can be used in smart transportation... more Vehicular ad hoc networks (VANETs) are suitable networks that can be used in smart transportation system. VANET is based on short-range wireless communication between vehicles. VANETs do not need any outlay, apart from the wireless network interface. Vehicular Ad-Hoc Networks (VANET) are particular type of Mobile ad Hoc Networks (MANET) where wireless set vehicles form a network automatically while traveling along the road. Messages can be delivered openly among vehicles without permanent infrastructure. This paper presents various kinds of communication system and components in VANET.
A Novel De Routing Scheme for Vehicular Ad-Hoc Network
Vehicular Ad hoc Networks (VANET) became one of the most challenging research areas in the field ... more Vehicular Ad hoc Networks (VANET) became one of the most challenging research areas in the field of Mobile Ad hoc Networks (MANET). In VANET vehicles send emergency and safety messages from one control channel having a restricted bandwidth, which results in increasing collision to the channel. In this paper Differential Evolution (DE) optimization algorithm is used in vehicular ad hoc network. DE algorithm is used to choose which vehicle is the most suitable to act as cluster manager by minimizing the fitness function. Using various key metrics of interest including data packet delivery ratio, throughput, time complexity, a modified scheme based on Differential Evolution (DE) algorithm is proposed which is compared to the PSO based routing in VANET.
International journal of computing and digital system/International Journal of Computing and Digital Systems, Jul 1, 2024
Negation is one of the challenges in sentiment analysis. Negation has an immense influence on how... more Negation is one of the challenges in sentiment analysis. Negation has an immense influence on how accurately text data can be classified. To find accurate sentiments of users this research identifies that the impact of negations in a sentence needs to be properly handled. Traditional approaches are unable to properly determine the scope of negations. In the proposed approach Machine learning (ML) is used to find the scope of negations. Moreover, the removal of negative stopwords during pre-processing leads to the flipped polarity of sentences. To resolve these challenges this research proposes a method for negation scope detection and handling in sentiment analysis. First, negation cue (negative words) and non cue words are determined, these negation cue and non cue words in addition to lexical and syntactic features determine the negation scope (part of sentence affected by cue) using the Machine Learning (ML) approach i.e. Conditional Random Fields (CRF). Subsequently, in negation handling the sentiment intensity of each token in a sentence is established, and affected tokens are processed to determine the final polarity. It is revealed that sentiment analysis with negation handling and calculated polarity gives 3.61%, 2.64%, 2.7%, and 1.42% increase in accuracy for Logistic regression, Support Vector Machine, Decision Tree (DT), and Naive Bayes (NB) consecutively for Amazon food products dataset. Consecutively, 9.4%, 3%, and 2% improvement for Logistic Regression (LR), Support Vector Machine (SVM), and Naive Bayes for electronic dataset.
International journal of engineering and advanced technology, Feb 29, 2020
In the advent of the cyber world, all know that cyber security is randomly used research area for... more In the advent of the cyber world, all know that cyber security is randomly used research area for researchers to secure host, network, and data because of increasingly complex attacks. In the advent of anomaly-based intrusion detection system, various techniques are applied to detect intrusion on system or network. This approach attains an extreme detection rate and accuracy but there may be overhead acquired to build and training them. The objective of this paper is to detect the intrusion of a system by proposing a Data mining technique which is based on supervised learning algorithm for training dataset. Artificial neural network (ANN) and Ant Colony Optimization (ACO) with feature selection are the basics of the proposed scheme. ACO work on a population-based algorithm and is motivated by the pheromone trail laying behavior of real ants, in which NSL-KDD Cup99 Dataset is used. Empirical Results clearly explain that the proposed system can attain an overall detection rate of 88% and time complexity of 0.343 sec, which is satisfactory when compared to other anomaly-based schemes.
The current status of DNA cryptography (biological) is much far away from real scenario and can b... more The current status of DNA cryptography (biological) is much far away from real scenario and can be carried out by only using chemical reactions in biological based laboratory. The present research work is an attempt to imitate biological DNA cryptography by an analogous computational mechanism for providing secure communication between sensor nodes in a wireless sensor network. This paper has its focus on the realization of a security framework which comprises of the application of a DNA congruous approach for encryption of data being transmitted by sensor nodes within a WSN. The framework consists of different phases including the encryption and decryption process involved between two nodes in a sensor network. The cryptography procedure is homogeneous to the structure and operations of DNA. Data hybridization includes the fusion of false data with real cipher that enhances the security and data compression has also been included in the framework with the contemplation of overcoming the limitations associated with WSNs.
Assessing the Efficacy of a Novel Fuzzy-based Clustering Algorithm for Mobile Agent Itinerary Planning in Wireless Sensor Networks using Validity Indices
Wireless Sensor Networks (WSN) are composed of small sensor nodes that either transmit their sens... more Wireless Sensor Networks (WSN) are composed of small sensor nodes that either transmit their sensed data to the sink node directly or transmit it to its respective cluster head, which then transmits it to the sink node. However, this consumes a lot of network bandwidth and energy from the constrained sensor nodes. To address these constraints, Mobile Agents (MA) paradigm can be used in WSNs, which may lead to better energy and bandwidth conservation. When a single mobile agent is insufficient to complete a task, multiple mobile agents can be deployed to perform in parallel and reduce network latency. The set of sensor nodes and their sequence that MAs must migrate to complete a task is called an itinerary. The planning of the itinerary is the most prominent and significant issue related to the MA-based system, including the determination of an appropriate number of MAs to be dispatched, determining the set of sensor nodes and their sequence to be visited by MAs. This paper proposes ...
Assessing Multi Mobile Agents in WSN with an Optimistic Approach for Cardinality Determination
In distributed systems, information, resources, and services are spread across different sites or... more In distributed systems, information, resources, and services are spread across different sites or hosts. These sites serve as platforms for accessing the necessary resources and performing actions. The data is stored in various formats and levels of accuracy and reliability. This has led to the development of mobile agent technology, which enables the retrieval of valuable information from distributed systems even in resource-limited environments. Mobile agents migrate across the network, utilizing the computational resources of each host they visit, including CPU, file structure, and memory. Unlike traditional methods, mobile agents do not require a stable connection to migrate, allowing efficient access to distributed system resources. They contribute to saving network bandwidth, improving robustness, and enhancing fault tolerance in distributed systems. This research paper aims to characterize mobile agents and highlight their advantages. Mobile agents have a wide range of applic...
International Journal of Applied Management Science, 2023
An efficient algorithm DNA-based Symmetric Key Algorithm (DNA-SKA) for generating secret keys for... more An efficient algorithm DNA-based Symmetric Key Algorithm (DNA-SKA) for generating secret keys for sensor nodes is proposed in this paper. The key feature of the proposed algorithm is the usage of a DNA sequence as an initial key which is proffered to be selected from National Council of Biotechnological Information (NCBI) database available publically. Authentication process is required to make a secure communication between nodes. The Base Station then provides both nodes with two unique DNA strands generated by the unwinding of a single DNA molecule selected from NCBI database. The nodes then perform a simple but ingenious mechanism on the strands to obtain a similar symmetric key to be used for further encryption of the data to be communicated between the nodes. Computationally, it is a lightweight algorithm and better suitable for devices like sensor nodes because of their limited computing resources.
International Journal of Computer Applications, 2017
Internet is being expanded because of the enhancement of today's networks and with these expansio... more Internet is being expanded because of the enhancement of today's networks and with these expansion different types of unauthorized activities building up to make the network vulnerable. Many researchers are working around the world to protect the systems from any kind of unauthorized access. In this study we have implemented an Intrusion Detection System based on K-Centroid Clustering and Genetic Algorithm to achieve a better detection rate and false positive rate. In our system training set is classified into different clusters based on K-Centroid clustering and then GA is performed to check each connection of the test set and finally result has been obtained for every specific connection. We have used both Kdd99Cup and NSLKDD dataset to get the experiment result of our system. Finally analyzing with those data we have got a decent detection rate in our implemented system.
Vehicular Ad hoc Networks (VANET) became one of the most challenging research areas in the field ... more Vehicular Ad hoc Networks (VANET) became one of the most challenging research areas in the field of Mobile Ad hoc Networks (MANET). In VANET vehicles send emergency and safety messages from one control channel having a restricted bandwidth, which results in increasing collision to the channel. In this paper Differential Evolution (DE) optimization algorithm is used in vehicular ad hoc network. DE algorithm is used to choose which vehicle is the most suitable to act as cluster manager by minimizing the fitness function. Using various key metrics of interest including data packet delivery ratio, throughput, time complexity, a modified scheme based on Differential Evolution (DE) algorithm is proposed which is compared to the PSO based routing in VANET.
A number of various techniques have been already developed for providing security in sensor netwo... more A number of various techniques have been already developed for providing security in sensor networks. It may be anticipated that these techniques provide less secure sensor network which has numerous adverse effects associated with them. Thus there is a sufficient scope for improvement of secure electronic communication, as the proficiency of attacks is growing rapidly in wireless sensor networks. DNA steganography is a technique of covered writing, which provides secure system in sensor network to some extent. Steganography is more effective over cryptography as later one only conceals information but steganography obscures the information, as well as camouflage the data to various attackers. DNA steganography is an inventive approach to reduce the popularity of public key cryptography over the wireless sensor networks. In the proposed work, a secret key is introduced which is purely based on DNA sequence named as DNA stego key and is only known to sender and receiver. This DNA ste...
DNA-Based Cryptography for Security in Wireless Sensor Networks
Wireless sensor networks (WSNs) employ tiny nodes which accumulate information in various applica... more Wireless sensor networks (WSNs) employ tiny nodes which accumulate information in various applications and security is essential for sensor network applications, such as military target movement, etc. To impart security and privacy to tiny sensor nodes is challenging task due to the restricted capabilities of sensor nodes in terms of computation, communication, memory/storage, and battery power. This paper proposes DNA-based cryptography with the use of secure socket layer. It is exploratory research of biological based cryptosystem. As in conventional cryptography public/private key, pair is used for encryption/decryption process, we herein propose a DNA-based system in which the key pair is generated with the use of RSA algorithm and shared with SSL protocol. So, this proposed system resolves some of the problems related with sensor nodes and here we attain security in three stages, i.e., information security, computation security, and biological security.
A Review of Image Steganography Techniques: Development Trends to Enhance Performance
International Journal of Advanced Research in Computer Science, 2017
Steganography deals with the study of invisible information. It is the art and science of hiding ... more Steganography deals with the study of invisible information. It is the art and science of hiding the existence of message being sent so that except sender and receiver no one knows about the sent message. Secret message is hidden inside mediums like text, images, network and protocol. These are used as carrier to hide the secret message without any significant change in the carrier which is visible to human eye. This doesn’t cause any suspicion about the secret message. This paper presents the review of different security and data hiding techniques available that are used to implement the image steganography.
A Comprehensive Survey of VANET Architectures and Design
Vehicular ad hoc networks (VANETs) are suitable networks that can be used in smart transportation... more Vehicular ad hoc networks (VANETs) are suitable networks that can be used in smart transportation system. VANET is based on short-range wireless communication between vehicles. VANETs do not need any outlay, apart from the wireless network interface. Vehicular Ad-Hoc Networks (VANET) are particular type of Mobile ad Hoc Networks (MANET) where wireless set vehicles form a network automatically while traveling along the road. Messages can be delivered openly among vehicles without permanent infrastructure. This paper presents various kinds of communication system and components in VANET.
A Novel De Routing Scheme for Vehicular Ad-Hoc Network
Vehicular Ad hoc Networks (VANET) became one of the most challenging research areas in the field ... more Vehicular Ad hoc Networks (VANET) became one of the most challenging research areas in the field of Mobile Ad hoc Networks (MANET). In VANET vehicles send emergency and safety messages from one control channel having a restricted bandwidth, which results in increasing collision to the channel. In this paper Differential Evolution (DE) optimization algorithm is used in vehicular ad hoc network. DE algorithm is used to choose which vehicle is the most suitable to act as cluster manager by minimizing the fitness function. Using various key metrics of interest including data packet delivery ratio, throughput, time complexity, a modified scheme based on Differential Evolution (DE) algorithm is proposed which is compared to the PSO based routing in VANET.
Uploads
Papers by Monika Poriye