Shahnawaz Qadir
@uok.edu.in
Assistant Professor, Information Technology
University of Kashmir
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Science, Information Systems, Artificial Intelligence
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Shahnawaz Qadir and Hakeem I Mhaibes
IEEE
In a smart workplace, the integration of intelligent assistance systems for meeting scheduling presents significant benefits. However, the reliance on specific commands often hampers user experience. To address this challenge, we introduce the Exponential Adaptation-based State-Action-Reward-State-Action (EA-SARSA) system. This sophisticated solution accommodates both text and voice inputs, enhancing user interaction. Furthermore, to ensure robust data security, inputs are encrypted using the Sieve of Atkin Lenstra-based Elliptic Curve Cryptography (SAL- ECC) technique. Following input processing and encryption, the system dynamically analyzes schedules by cross-referencing encrypted data with personalized database records. This enables seamless identification of available time slots or notification of scheduling conflicts. The system then optimizes schedules on a daily basis for enhanced efficiency. During meeting execution, decrypted schedule details are retrieved and leveraged to determine the optimal travel route using smart devices in the Internet of Things (SIoT) environment. Empirical validation underscores the efficacy and productivity gains afforded by the EA-SARSA system, making it a compelling solution for modern workplace productivity enhancement.
Shahnawaz Qadir and Rana Hashmy
IEEE
Centralized signature verification methods in the Internet of Things (IoT) limit efficiency and introduce human error. This research proposes a novel multi-level signature verification system built upon smart contracts in a permissioned blockchain environment to enhance security and optimize efficiency within the Internet of Things (IoT). The system leverages user contracts created using IoT-Solidity, seamless integration with MetaMask and Ganache, and implements robust hash codes and multi-level verification processes. Performance evaluation utilizes critical metrics, such as gas limit and throughput, to quantify the system's effectiveness. This innovative approach presents a transformative solution for elevating the security paradigm within IoT by harnessing the combined power of multi-level verification and permissioned blockchain technology.
Hakeem I Mhaibes and Shahnawaz Qadir
International Journal of Electrical and Computer Engineering Systems Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Wireless Sensor Network (WSN) is emerging as a dominant technology with its applications in areas like agriculture, communication, environment monitoring, and surveillance. The inherited vulnerability and resource-constrained nature of sensor nodes led researchers to propose many lightweight cryptographic protocols for WSN. These sensors are low-cost, low energy, have low processing capability and have low storage restrictions. WSN suffers from many risks because of these unique constraints. This paper proposes a new lightweight security framework for WSNs and covers different lightweight cryptographic schemes for WSN applications. The aim is to provide cryptographic primitives for integrity, confidentiality, and protection from the man-in-the-middle and reply attacks. The work is based solely on symmetric cryptography and it has four phases; Network Initialization, Node Initialization, Nodes Communication, and Node Authentication. This work adopts the Low-Energy Adaptive Clustering Hierarchy (LEACH) framework, which deploys random rotation to distribute the energy among a group of nodes. The probability of attacking in LEACH is higher at cluster head and member nodes. Therefore, data transmission among communicated nodes is encrypted over multiple levels of protection by dynamic session keys to provide a high level of security. In addition, an authentication ticket is provided by a cluster head for each authenticated node to identify another node. The session keys are dynamically generated and updated during the communication to prevent compromising or capturing the keys. Through simulation and evaluation of the system, the results showed less energy consumption and efficient cryptographic primitive were compared with existing schemes