Jaspreet Kaur

Shajulin Benedict, Rumaize P., Jaspreet Kaur

IoT cloud enabled societal applications have dramatically increased in the recent past due to the thrust for innovations, notably through startup initiatives, in various sectors such as agriculture, healthcare, industry, and so forth. The existing IoT cloud solutions have led practitioners or researchers to a haphazard clutter of serious security hazards and performance inefficiencies. This paper proposes a blockchain enabled IoT cloud implementation to tackle the existing issues in smart cities. It particularly highlights the implementation of chaincodes for air quality monitoring systems in SmartCities; the proposed architecture named as IoT enabled Blockchain for Air Quality Monitoring System (IB-AQMS) is illustrated using experiments. Experimental results were carried out and the findings were disclosed in the paper.

Jaspreet Kaur

Nowadays security is major concern for any user connected to the internet. Various types of attacks are to be performed by intruders to obtaining user information as manin-middle attack, denial of service, malware attacks etc. Malware attacks specifically ransomware attack become very famous recently. Ransomware attack threaten the users by encrypting their most valuable data, lock the user screen, play some random videos and by various more means. Finally attacker take benefits by users through paid ransom. In this paper, we propose a framework which prevent the ransomware attack more appropriately using various techniques as blockchain, honeypot, cloud & edge computing. This framework is analysed mainly through the IoT devices and generalized to the any malware attack.

Jaspreet Kaur

The Routing Protocol for Low-Power and Lossy Networks (RPL) is the existing routing protocol for Internet of Things (IoT). RPL is a proactive,lightweight, Distance Vector protocol which offers security against various forms of routing attacks. Still, there are various attacks(as rank, version attacks and many more ) which is possible in this network due to problem of unauthenticated or unencrypted control frames, centralized root controller, compromised or unauthenticated devices and many more ways. There are various solutions present in the literature but every solution has its pros and cons. There is no appropriate system framework till now which completely solves these all issues. So, we present an ultimate approach to mitigate these RPL attacks more efficiently and effectively. We use IDS based system for internal attacks and a mini-firewall for removing the external attacks. In IDS based approach, we use intrusion detection system at multiple locations for analyzing the behaviour of nodes. The final decision whether the node is attacker or not depends on mainly three things as: trust between the neighbouring nodes, local decision by multiple sink nodes and global decision by root node. We also use some blockchain features in this framework for better internal security. We use some threshold values and rules in mini-firewall for removing external attacks. In this paper, we provide the proposed approach and theoretical analysis of this approach which provide better protection from these attacks than any other method.

Jernej Tonejc, Jaspreet Kaur, Adrian Karsten et al.

Building automation systems (BAS) are interlinked networks of hardware and software, which monitor and control events in the buildings. One of the data communication protocols used in BAS is Building Automation and Control networking protocol (BACnet) which is an internationally adopted ISO standard for the communication between BAS devices. Although BAS focus on providing safety for inhabitants, decreasing the energy consumption of buildings and reducing their operational cost, their security suffers due to the inherent complexity of the modern day systems. The issues such as monitoring of BAS effectively present a significant challenge, i.e., BAS operators generally possess only partial situation awareness. Especially in large and inter-connected buildings, the operators face the challenge of spotting meaningful incidents within large amounts of simultaneously occurring events, causing the anomalies in the BAS network to go unobserved. In this paper, we present the techniques to analyze and visualize the data for several events from BAS devices in a way that determines the potential importance of such unusual events and helps with the building-security decision making. We implemented these techniques as a mobile (Android) based application for displaying application data and as tools to analyze the communication flows using directed graphs.