GOM: New Genetic Optimizing Model for broadcasting tree in MANET
- Elaiwat, Said, Alazab, Ammar, Venkatraman, Sitalakshmi, Alazab, Mamoun
- Authors: Elaiwat, Said , Alazab, Ammar , Venkatraman, Sitalakshmi , Alazab, Mamoun
- Date: 2010
- Type: Text , Conference proceedings
- Full Text:
- Description: Data broadcasting in a mobile ad-hoc network (MANET) is the main method of information dissemination in many applications, in particular for sending critical information to all hosts. Finding an optimal broadcast tree in such networks is a challenging task due to the broadcast storm problem. The aim of this work is to propose a new genetic model using a fitness function with the primary goal of finding an optimal broadcast tree. Our new method, called Genetic Optimisation Model (GOM) alleviates the broadcast storm problem to a great extent as the experimental simulations result in efficient broadcast tree with minimal flood and minimal hops. The result of this model also shows that it has the ability to give different optimal solutions according to the nature of the network. © 2010 IEEE.
- Authors: Elaiwat, Said , Alazab, Ammar , Venkatraman, Sitalakshmi , Alazab, Mamoun
- Date: 2010
- Type: Text , Conference proceedings
- Full Text:
- Description: Data broadcasting in a mobile ad-hoc network (MANET) is the main method of information dissemination in many applications, in particular for sending critical information to all hosts. Finding an optimal broadcast tree in such networks is a challenging task due to the broadcast storm problem. The aim of this work is to propose a new genetic model using a fitness function with the primary goal of finding an optimal broadcast tree. Our new method, called Genetic Optimisation Model (GOM) alleviates the broadcast storm problem to a great extent as the experimental simulations result in efficient broadcast tree with minimal flood and minimal hops. The result of this model also shows that it has the ability to give different optimal solutions according to the nature of the network. © 2010 IEEE.
Getting connected : Insights into social capital from recent adult learning research
- Authors: Golding, Barry
- Date: 2007
- Type: Text , Journal article
- Relation: Australian Journal of Adult Learning Vol. 47, no. 1 (2007), p. 10-24
- Full Text:
- Reviewed:
- Description: This paper begins by teasing out the nature of social capital and its particular and current relevance to adult learning policy and practice in Australia. The paper identifies a number of benefits and significant problems with social capital as an organising construct for adult learning research and policy in Australia. Some connections are made between social capital and lifelong learning, and important distinctions are drawn between 'bonding' and 'bridging' social capital. I draw on my experiences and insights over the past seven years using network diagrams as a research tool. Network diagrams are identified as a useful tool for charting relationships between learning organisations and individuals. The paper suggests ways of using the network relationships in these diagrams as a proxy for social capital in a range of formal and informal settings in which adult learning occurs in Australia. Network diagrams are seen to have particular utility in situations where communities and organisations become too small for surveys, where relationships become complex and ambiguous as well as in rural and remote communities where distance and spatial relationships affect access to learning.
- Description: C1
- Description: 2003005519
- Authors: Golding, Barry
- Date: 2007
- Type: Text , Journal article
- Relation: Australian Journal of Adult Learning Vol. 47, no. 1 (2007), p. 10-24
- Full Text:
- Reviewed:
- Description: This paper begins by teasing out the nature of social capital and its particular and current relevance to adult learning policy and practice in Australia. The paper identifies a number of benefits and significant problems with social capital as an organising construct for adult learning research and policy in Australia. Some connections are made between social capital and lifelong learning, and important distinctions are drawn between 'bonding' and 'bridging' social capital. I draw on my experiences and insights over the past seven years using network diagrams as a research tool. Network diagrams are identified as a useful tool for charting relationships between learning organisations and individuals. The paper suggests ways of using the network relationships in these diagrams as a proxy for social capital in a range of formal and informal settings in which adult learning occurs in Australia. Network diagrams are seen to have particular utility in situations where communities and organisations become too small for surveys, where relationships become complex and ambiguous as well as in rural and remote communities where distance and spatial relationships affect access to learning.
- Description: C1
- Description: 2003005519
Action research and network development : Creating actionable knowledge
- Authors: Braun, Patrice
- Date: 2006
- Type: Text , Conference paper
- Relation: Paper presented at 7th ALARPM and 11th PAR World Congress, Groningen, Netherlands : 21st August, 2006
- Full Text:
- Reviewed:
- Description: To make a valuable contribution to our society today, knowledge must be relevant, applicable and actionable. On the side of managers it calls for collaborative approaches to knowledge creation and knowledge transfer between their organisations and knowledge institutions. On the side of academics, it calls for engaged scholarship aimed at knowledge transfer and knowledge contribution to the practical know-how of managers and organisations. Action researchers have long advocated collaborative knowledge creation processes as the way forward, despite the fact that working within an environment that aspires for knowledge to be become applicable and actionable can be complex and challenging. This paper discusses actionable research methods with a focus on networks and learning in a regional development context.
- Description: E1
- Description: 2003001943
- Authors: Braun, Patrice
- Date: 2006
- Type: Text , Conference paper
- Relation: Paper presented at 7th ALARPM and 11th PAR World Congress, Groningen, Netherlands : 21st August, 2006
- Full Text:
- Reviewed:
- Description: To make a valuable contribution to our society today, knowledge must be relevant, applicable and actionable. On the side of managers it calls for collaborative approaches to knowledge creation and knowledge transfer between their organisations and knowledge institutions. On the side of academics, it calls for engaged scholarship aimed at knowledge transfer and knowledge contribution to the practical know-how of managers and organisations. Action researchers have long advocated collaborative knowledge creation processes as the way forward, despite the fact that working within an environment that aspires for knowledge to be become applicable and actionable can be complex and challenging. This paper discusses actionable research methods with a focus on networks and learning in a regional development context.
- Description: E1
- Description: 2003001943
A novel ensemble of hybrid intrusion detection system for detecting internet of things attacks
- Khraisat, Ansam, Gondal, Iqbal, Vamplew, Peter, Kamruzzaman, Joarder, Alazab, Ammar
- Authors: Khraisat, Ansam , Gondal, Iqbal , Vamplew, Peter , Kamruzzaman, Joarder , Alazab, Ammar
- Date: 2019
- Type: Text , Journal article
- Relation: Electronics (Switzerland) Vol. 8, no. 11 (2019), p.
- Full Text:
- Reviewed:
- Description: The Internet of Things (IoT) has been rapidly evolving towards making a greater impact on everyday life to large industrial systems. Unfortunately, this has attracted the attention of cybercriminals who made IoT a target of malicious activities, opening the door to a possible attack to the end nodes. Due to the large number and diverse types of IoT devices, it is a challenging task to protect the IoT infrastructure using a traditional intrusion detection system. To protect IoT devices, a novel ensemble Hybrid Intrusion Detection System (HIDS) is proposed by combining a C5 classifier and One Class Support Vector Machine classifier. HIDS combines the advantages of Signature Intrusion Detection System (SIDS) and Anomaly-based Intrusion Detection System (AIDS). The aim of this framework is to detect both the well-known intrusions and zero-day attacks with high detection accuracy and low false-alarm rates. The proposed HIDS is evaluated using the Bot-IoT dataset, which includes legitimate IoT network traffic and several types of attacks. Experiments show that the proposed hybrid IDS provide higher detection rate and lower false positive rate compared to the SIDS and AIDS techniques. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
- Authors: Khraisat, Ansam , Gondal, Iqbal , Vamplew, Peter , Kamruzzaman, Joarder , Alazab, Ammar
- Date: 2019
- Type: Text , Journal article
- Relation: Electronics (Switzerland) Vol. 8, no. 11 (2019), p.
- Full Text:
- Reviewed:
- Description: The Internet of Things (IoT) has been rapidly evolving towards making a greater impact on everyday life to large industrial systems. Unfortunately, this has attracted the attention of cybercriminals who made IoT a target of malicious activities, opening the door to a possible attack to the end nodes. Due to the large number and diverse types of IoT devices, it is a challenging task to protect the IoT infrastructure using a traditional intrusion detection system. To protect IoT devices, a novel ensemble Hybrid Intrusion Detection System (HIDS) is proposed by combining a C5 classifier and One Class Support Vector Machine classifier. HIDS combines the advantages of Signature Intrusion Detection System (SIDS) and Anomaly-based Intrusion Detection System (AIDS). The aim of this framework is to detect both the well-known intrusions and zero-day attacks with high detection accuracy and low false-alarm rates. The proposed HIDS is evaluated using the Bot-IoT dataset, which includes legitimate IoT network traffic and several types of attacks. Experiments show that the proposed hybrid IDS provide higher detection rate and lower false positive rate compared to the SIDS and AIDS techniques. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
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