Hassan Jameel

Group-Based Trust Management Scheme for Clustered Wireless Sensor Networks

Traditional trust management schemes developed for wired and wireless ad hoc networks are not well suited for sensor networks due to their higher consumption of resources such as memory and power. In this work, we propose a new lightweight group-based trust management scheme (GTMS) for wireless sensor networks, which employs clustering. Our approach reduces the cost of trust evaluation. Also, theoretical as well as simulation results show that our scheme demands less memory, energy, and communication overheads as compared to the current state-of-the-art trust management schemes and it is more suitable for large-scale sensor networks. Furthermore, GTMS also enables us to detect and prevent malicious, selfish, and faulty nodes.

A trust model for ubiquitous systems based on vectors of trust values

Ubiquitous computing foresees a massively networked world supporting a population of diverse but cooperating mobile devices where trust relationships between entities are uncertain. Though there have been lots of effort focusing on trust for ubiquitous systems, they did not attach enough importance to uncertainty in their model. On the other hand, most of the works draw a general picture without a detailed computational model. In this paper, we present a trust model based on the vectors of trust values of different entities. The evaluation of trust depends upon the recommendation of peer entities common to the interacting entities. These recommendations are weighted according to the number and time of past interactions. Furthermore we present a method of handling false recommendations without introducing significant computational burden. The model can calculate trust between two entities in situations both in which there is past experience among the interacting entities and in which the two entities are communicating for the first time. Several tuning parameters are suggested which can be adjusted to meet the security requirement of a ubiquitous system.

Trust Management Problem in Distributed Wireless Sensor Networks

Sensor network security solutions that have been proposed so far are mostly built on the assumption of a trusted environment, which is not very realistic so we need trust management before deploying any other security solution. Traditional trust management schemes that have been developed for wired and wireless ad-hoc networks are not suitable for wireless sensor networks because of higher consumption of resources such as memory and power. In this paper, we propose a novel lightweight group based trust management scheme (GTMS) for distributed wireless sensor networks in which the whole group will get a single trust value. Instead of using completely centralized or distributed trust management schemes, GTMS uses hybrid trust management approach that helps in keeping minimum resource utilization at the sensor nodes

Achieving Network Level Privacy in Wireless Sensor Networks

Full network level privacy has often been categorized into four sub-categories: Identity, Route, Location and Data privacy. Achieving full network level privacy is a critical and challenging problem due to the constraints imposed by the sensor nodes (e.g., energy, memory and computation power), sensor networks (e.g., mobility and topology) and QoS issues (e.g., packet reach-ability and timeliness). In this paper, we proposed two new identity, route and location privacy algorithms and data privacy mechanism that addresses this problem. The proposed solutions provide additional trustworthiness and reliability at modest cost of memory and energy. Also, we proved that our proposed solutions provide protection against various privacy disclosure attacks, such as eavesdropping and hop-by-hop trace back attacks.

Mobile-to-Grid middleware: bridging the gap between mobile and grid environments

Currently, access to Grid services is limited to resourceful devices such as desktop PCs but most mobile devices (with wireless network connections) cannot access the Grid network directly because of their resource limitations. Yet, extending the potential of the Grid to a wider audience promises increase in flexible usage and productivity. In this paper we present a middleware architecture that addresses the issues of job delegation to a Grid service, support for offline processing, secure communication, interaction with heterogeneous mobile devices and presentation of results formatted in accordance with the device specification. This is achieved by outsourcing the resource intensive tasks from the mobile device to the middleware. We also demonstrate through formal modeling using Petri nets that the addition of such a middleware causes minimum overhead and the benefits obtained outweigh this overhead.

AutoMAGI - an Autonomic middleware for enabling Mobile Access to Grid Infrastructure

Access to Grid services is currently limited to devices having substantial computing, network and memory resources such as PCs. On the other hand, most of mobile devices do not have enough capabilities to be either direct clients or services in the Grid environment. The existing middleware platforms like Globus do not fully address mobility, yet extending the potential of the Grid to a wider audience promises increase in its flexibility and productivity. Furthermore, the promising approach of autonomic computing holds the key to the self-management of such a multifarious undertaking and provides a way to further build upon this complexity without incurring additional drawbacks. In this paper we present AutoMAGI, an autonomic middleware that can handle the complexity of extending the potential of the Grid to a wider mobile audience, by incorporating the features of context-awareness, self-configuration, self-optimization, self-healing and self-protection in it. We address the issues of job delegation to a Grid service, support for offline processing, secure communication, interaction with heterogeneous mobile devices and presentation of results formatted in accordance with the device limitations

Network Level Privacy for Wireless Sensor Networks

Full network level privacy spectrum comprises of identity, route, location and data privacy. Existing privacy schemes of wireless sensor networks only provide partial network level privacy. Providing full network level privacy is a critical and challenging problem due to the constraints imposed by the sensor nodes, sensor networks and QoS issues. In this paper, we propose full network level privacy solution that addresses this problem. This solution comprises of Identity, Route and Location (IRL) privacy algorithm and data privacy mechanism, that collectively provides protection against privacy disclosure attacks such as eavesdropping and hop-by-hop trace back attacks.

Trusting Anomaly and Intrusion Claims for Cooperative Distributed Intrusion Detection Schemes of Wireless Sensor Networks

Any unidentified malicious nodes in the network could send faulty anomaly and intrusion claims about the legitimate nodes to the other nodes. Verifying the validity of such claims is a critical and challenging issue that is not considered in existing cooperative-based distributed anomaly and intrusion detection schemes of wireless sensor networks. In this paper, we propose a validation algorithm that addresses this problem. This algorithm utilizes the concept of intrusion-aware reliability that helps to provide adequate reliability at the modest communication cost.

A component-based architecture for an autonomic middleware enabling mobile access to grid infrastructure

The increasing pervasiveness of wide-area distributed computing resources, like computational Grids, has given rise to applications that have inherent problems of complexity, adaptability, dynamism and heterogeneity etc. The emerging concept of autonomic computing holds the key to the self-management of such a multifarious undertaking and provides a way to further build upon this complexity without incurring additional drawbacks. Furthermore, access to Grid services at present is generally limited to devices having substantial computing, network and memory resources whereas most of mobile devices do not have the sufficient capabilities to be either direct clients or services in the Grid environment. The existing middleware platforms like Globus do not fully address mobility, yet extending the potential of the Grid to a wider audience promises increase in its flexibility and productivity. In this paper, we present a component-based autonomic middleware that can handle the complexity of extending the potential of the Grid to a wider mobile audience, by incorporating the features of context-awareness and self-management. We also address the middleware issues of job delegation to a Grid service, support for disconnected operation/offline processing and secure communication.

Mobile-to-grid middleware: an approach for breaching the divide between mobile and grid environments

In this paper we present an architecture of a middleware layer that enables users of mobile devices to seamlessly and securely access distributed resources in a Grid. It lays the ground work for an application toolkit that addresses issues such as delegation of the job to the Grid service, interaction with heterogeneous mobile devices, support for offline processing, secure communication between the client and the middleware and presentation of results formatted in accordance with the device specification by outsourcing computationally intensive tasks with high storage and network bandwidth demands.