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Research paper thumbnail of Threats and Countermeasures of Cyber Security in Direct and Remote Vehicle Communication Systems

ArXiv, 2020

Traffic management, road safety, and environmental impact are important issues in the modern worl... more Traffic management, road safety, and environmental impact are important issues in the modern world. These challenges are addressed by the application of sensing, control and communication methods of intelligent transportation systems (ITS). A part of ITS is a vehicular ad-hoc network (VANET) which means a wireless network of vehicles. However, communication among vehicles in a VANET exposes several security threats which need to be studied and addressed. In this review, firstly, the basic flow of VANET is illustrated focusing on its communication methods, architecture, characteristics, standards, and security facilities. Next, the attacks and threats for VANET are discussed. Moreover, the authentication systems are described by which vehicular networks can be protected from fake messages and malicious nodes. Security threats and counter measures are discussed for different remote vehicle communication methods namely, remote keyless entry system, dedicated short range communication, ...

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Research paper thumbnail of Comparative Performance Exploration and Prediction of Fibrosis, Malign Lymph, Metastases, Normal Lymphogram Using Machine Learning Method

Innovations in Bio-Inspired Computing and Applications. IBICA 2019. Advances in Intelligent Systems and Computing, Vol. 1180, 2021

The main focus of this paper is to predict clusters of patient records such as Fibrosis, Malign L... more The main focus of this paper is to predict clusters of patient records such as Fibrosis, Malign Lymph, Metastases, Normal Lymphogram obtained via different classification techniques and compare the presentation of classification algorithms based on some parameters such as precision, recall, F1 value (F-measure), classification accuracy (CA) and area under the curve (AUC). The Lymphographic dataset consist of 18 predictor attributes. Experimental results display that the Neural network provides highest classification accuracy and precision as well as F1 value among the other four classification algorithm which are KNN, SVM (Support vector machine) learner, Random forest learner, Ada boost. It permits the classifier to precisely perform multi-class medical data classification. Confusion Matrix has also been described for the above mentioned classifier using the lymphographic dataset. This paper also visualizes the ranking of Lymphogram dataset using the scoring method and analysis of scatter plot, box plot and distribution plot.

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Research paper thumbnail of Threats and Countermeasures of Cyber Security in Direct and Remote Vehicle Communication Systems

Journal of Information Assurance and Security. ISSN 1554-1010, 2020

Traffic management, road safety, and environmental impact are important issues in the modern worl... more Traffic management, road safety, and environmental impact are important issues in the modern world. These challenges are addressed by the application of sensing, control and communication methods of intelligent transportation systems (ITS). A part of ITS is a vehicular ad-hoc network (VANET) which means a wireless network of vehicles. However, communication among vehicles in a VANET exposes several security threats which need to be studied and addressed. In this review, firstly, the basic flow of VANET is illustrated focusing on its communication methods, architecture, characteristics, standards, and security facilities. Next, the attacks and threats for VANET are discussed. Moreover, the authentication systems are described by which vehicular networks can be protected from fake messages and malicious nodes. Security threats and counter measures are discussed for different remote vehicle communication methods namely, remote keyless entry system, dedicated short range communication, cellular scheme, Zigbee, Bluetooth, radio frequency identification, WiFi, WiMAX, and different direct vehicle communication methods namely on-board diagnosis and universal serial bus.

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Research paper thumbnail of Threats and Countermeasures of Cyber Security in Direct and Remote Vehicle Communication Systems

ArXiv, 2020

Traffic management, road safety, and environmental impact are important issues in the modern worl... more Traffic management, road safety, and environmental impact are important issues in the modern world. These challenges are addressed by the application of sensing, control and communication methods of intelligent transportation systems (ITS). A part of ITS is a vehicular ad-hoc network (VANET) which means a wireless network of vehicles. However, communication among vehicles in a VANET exposes several security threats which need to be studied and addressed. In this review, firstly, the basic flow of VANET is illustrated focusing on its communication methods, architecture, characteristics, standards, and security facilities. Next, the attacks and threats for VANET are discussed. Moreover, the authentication systems are described by which vehicular networks can be protected from fake messages and malicious nodes. Security threats and counter measures are discussed for different remote vehicle communication methods namely, remote keyless entry system, dedicated short range communication, ...

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Research paper thumbnail of Comparative Performance Exploration and Prediction of Fibrosis, Malign Lymph, Metastases, Normal Lymphogram Using Machine Learning Method

Innovations in Bio-Inspired Computing and Applications. IBICA 2019. Advances in Intelligent Systems and Computing, Vol. 1180, 2021

The main focus of this paper is to predict clusters of patient records such as Fibrosis, Malign L... more The main focus of this paper is to predict clusters of patient records such as Fibrosis, Malign Lymph, Metastases, Normal Lymphogram obtained via different classification techniques and compare the presentation of classification algorithms based on some parameters such as precision, recall, F1 value (F-measure), classification accuracy (CA) and area under the curve (AUC). The Lymphographic dataset consist of 18 predictor attributes. Experimental results display that the Neural network provides highest classification accuracy and precision as well as F1 value among the other four classification algorithm which are KNN, SVM (Support vector machine) learner, Random forest learner, Ada boost. It permits the classifier to precisely perform multi-class medical data classification. Confusion Matrix has also been described for the above mentioned classifier using the lymphographic dataset. This paper also visualizes the ranking of Lymphogram dataset using the scoring method and analysis of scatter plot, box plot and distribution plot.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Threats and Countermeasures of Cyber Security in Direct and Remote Vehicle Communication Systems

Journal of Information Assurance and Security. ISSN 1554-1010, 2020

Traffic management, road safety, and environmental impact are important issues in the modern worl... more Traffic management, road safety, and environmental impact are important issues in the modern world. These challenges are addressed by the application of sensing, control and communication methods of intelligent transportation systems (ITS). A part of ITS is a vehicular ad-hoc network (VANET) which means a wireless network of vehicles. However, communication among vehicles in a VANET exposes several security threats which need to be studied and addressed. In this review, firstly, the basic flow of VANET is illustrated focusing on its communication methods, architecture, characteristics, standards, and security facilities. Next, the attacks and threats for VANET are discussed. Moreover, the authentication systems are described by which vehicular networks can be protected from fake messages and malicious nodes. Security threats and counter measures are discussed for different remote vehicle communication methods namely, remote keyless entry system, dedicated short range communication, cellular scheme, Zigbee, Bluetooth, radio frequency identification, WiFi, WiMAX, and different direct vehicle communication methods namely on-board diagnosis and universal serial bus.

Bookmarks Related papers MentionsView impact