Shams Tabrez Siddiqui

Jazan University

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Haneef Khan

Jazan University

Shadab Alam

Jazan University

Mohammad Rafeek Khan

Jazan University

Md Imran Alam

Jazan University

Khalid Ali Qidwai

Jazan University

Mohammed Shuaib

Jazan University

Mohammad Ubaidullah Bokhari

Aligarh Muslim University

Ashok Kumar Gupta

Delhi Technological University

Malik Zaib Alam

Jazan University

Mohammad Khamruddin

Jazan University

Cooperative Institutions

Jazan University

Aligarh Muslim University

Koneru Lakshmaiah Education Foundation

Saveetha University

Hindustan Institute of Technology and Science

Quaid-i-Azam University

Kalasalingam Academy of Research and Education

Lovely Professional University

Guru Gobind Singh Indraprastha University

King Abdulaziz University

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IoT and Blockchain Integration Challenges

Haneef Khan Ishan Budhiraja Sarfaraz Ahmad Wahaj Malik Zaib Alam Shams Tabrez Siddiqui

By 2025, more than 96% of products will have Internet of Things (IoT) components at their core, the rapid spread of IoT inspires the development of novel applications for the end user, illustrating just how dominant this technology will become. However, if proper safety measures are not taken, serious issues may arise, such as the victimization of innocent people in crimes like burglary caused by the unauthorized disabling of a smart system. Blockchain, a distributed ledger system, is rapidly becoming a match in the field of data transfer with security. The Internet of Things (IoT) network will get the benefit from blockchain technology, which makes IoT possible to build trust in distributed networks without the need for a governing body to intervene. In this article, we focus on the most significant challenges that have still to be solved in order to achieve integration in between IoT and the Blockchain.

Distributed ledger

Ledger

Proof-of-work system

10.1109/ccet56606.2022.10080564

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Citations (5)

Integrating IoT and Blockchain-Enabled Device-to-Device Communication to Improve Privacy in Intelligent Quarantine Environments

Shams Tabrez Siddiqui

The exponential progress of Internet of Things (IoT) technology has resulted in the emergence of groundbreaking solutions across diverse industries, such as healthcare and quarantine management. In the realm of global health crises, such as the ongoing COVID-19 pandemic, the successful execution of efficient quarantine protocols assumes paramount importance. The objective of this research paper is to examine the potential integration of Internet of Things (IoT) devices, wireless sensors, and blockchain technology in order to establish a Smart Quarantine Environment (SQE). The SQE aims to improve privacy, security, and efficiency in the management of quarantine protocols. By analyzing the existing literature and exploring relevant case studies, this paper seeks to provide insights into the feasibility and benefits of implementing such a system. The utilization of IoT devices and wireless sensors enables the facilitation of real-time monitoring and data collection. This approach is supported by the integration of blockchain technology, which ensures data integrity, transparency, and user control. By addressing concerns related to privacy and security, this combination of technologies enhances the overall effectiveness of the system.

10.1109/csitss60515.2023.10334137

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Analysis of data science and AI-enabled 6G wireless communication networks

Известия высших учебных заведений Радиоэлектроника (2023)

K. R. Nancharaiah Kiran Chand Ravi Ajeet Kumar Srivastava K. Arunkumar Shams Tabrez Siddiqui

Current networks, such as 4G and the forthcoming 5G networks, may not be capable to fully congregate quickly emerging traffic strains due to the proliferation of smart fatal, infrastructures and explosion of diverse applications with varying necessities. As a result, 6G network research has already seen participation from both the private sector and the academic community. Recently, a innovative paradigm has emerged for the intelligent design and optimization of 6G networks, based on the combination of artificial intelligence (AI) and data science (DS). Therefore, this article proposes an AI-enabled architecture for 6G-networks, which is alienated into four layers: an intelligent-sensing, a data-analytics, intelligent-control and smart-application, with the goal of realizing patterns sighting, smart-resource management, automatic network adjustment, and intelligent-service provisioning. We then go over the uses of DS&AI methods in 6G networks, such as AI-enhanced mobile edge-computing, intelligent-mobility, and smart-spectrum management, and go into detail about how to implement these methods to maximize the network's performance. We also emphasize key areas for future study and possible clarifications for AI-enabled 6G networks, together with as computational efficiency, algorithm resilience, hardware-development, and energy-management.

Resilience

Provisioning

10.20535/s0021347023050059

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SECURITY& PRIVACY THREATS, ATTACKS AND COUNTERMEASURES IN INTERNET OF THINGS

Zenodo (CERN European Organization for Nuclear Research) (2019)

Faheem Masoodi Shadab Alam Shams Tabrez Siddiqui

The idea to connect everything to anything and at any point of time is what vaguely defines the concept of the Internet of Things (IoT). The IoT is not only about providing connectivity but also facilitating interaction among these connected things. Though the term IoT was introduced in 1999 but has drawn significant attention during the past few years, the pace at which new devices are being integrated into the system will profoundly impact the world in a good way but also poses some severe queries about security and privacy. IoT in its current form is susceptible to a multitudinous set of attacks. One of the most significant concerns of IoT is to provide security assurance for the data exchange because data is vulnerable to some attacks by the attackers at each layer of IoT. The IoT has a layered structure where each layer provides a service. The security needs vary from layer to layer as each layer serves a different purpose. This paper aims to analyze the various security and privacy threats related to IoT. Some attacks have been discussed along with some existing and proposed countermeasures.

10.5121/ijnsa.2019.11206

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Citations (4)

Analyzing energy efficiency of flying objects in Wireless Sensor and Mobile Ad Hoc Networks

Shams Tabrez Siddiqui Adeel Ahmad Jorair Ahmad Mohammad Haseebuddin Alighazi Siddiqui

10.1109/icrtcst61793.2024.10578539

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Citations (1)

Cloud-Based E-Learning: Using Cloud Computing Platform for an Effective E-Learning

Advances in intelligent systems and computing (2018)

Shams Tabrez Siddiqui Shadab Alam Zaki Ahmad Khan Ashok Kumar Gupta

CLARITY

E-Learning

10.1007/978-981-13-2414-7_31

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Citations (56)

Software Requirement Ambiguity Avoidance Framework (SRAAF) for Selecting Suitable Requirement Elicitation Techniques for Software Projects

Ashok Kumar Gupta Shams Tabrez Siddiqui Khalid Ali Qidwai Agha Salman Haider Haneef Khan

Ambiguity is an intrinsic deficiency of natural language written requirement documents. Requirement Engineers face difficulties while communicating with stakeholders from different backgrounds and knowledge to extract requirements. The selection of a suitable requirement elicitation technique plays a critical role to improve the quality of elicited requirements. Differences among elicitation techniques are very large; it implies that some techniques may perform better than others for a particular situation. Generally, requirement engineers select elicitation techniques based on their interests, knowledge, and experience. The selection of the right technique is critical as all techniques can not fit into different situations. In addition, before starting the new project, there is no software available that can help in selecting suitable elicitation techniques based on the situation. This paper proposed a software-based selection of suitable elicitation techniques used in SRAAF (Software Requirement Ambiguity Avoidance Framework). The tool focuses on the first phase of SRAAF, specifically the situational parameter based selection of effective elicitation techniques. These situational parameters are mapped onto the knowledge base for the selection process. The tool takes situational parameters as input related to three categories: project, requirement engineer, and stakeholders. The tool suggests a technique based on situational parameters under the current settings. If any new evidence related to situational parameters, elicitation technique or contextual value is originated, these values or information can be easily included in the tool.

Situational ethics

Situation Awareness

Software requirements

10.1109/ccet56606.2022.10080574

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Renewable Energy Efficiency of Unmanned Aerial Vehicles Operating with Wireless Sensor Networks and Mobile Ad Hoc Networks

Wakeel Ahmad Sarfaraz Ahmed Adeel Ahmad Shams Tabrez Siddiqui Mohammad Khamruddin

The amalgamation of Unmanned Aerial Vehicles (UAVs) into Wireless Sensor Networks (WSNs) and Mobile Ad Hoc Networks (MANETs) provides significant prospects to improve network capabilities. This study examines the energy renewable efficiency and performance of UAVs operating in WSNs and MANETs. The assessment considers a variety of elements that influence energy consumption, including the possibility of integrating renewable energy, energy management measures, and the impact on overall network performance. This seeks to provide insights into optimizing energy usage and improving the operating efficiency of UAVs in these dynamic network situations through extensive analysis and evaluation. A special emphasis is placed on the management of mobility, the optimization of energy usage, and the effectiveness of routing protocols. The paper explores existing protocols such as LEACH, AODV and OLSR highlighting their benefits and challenges for UAV's. A comparative analysis evaluates adapted protocols based on metrics such as energy efficiency, latency, and reliability.

10.1109/specon61254.2024.10537447

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Citations (1)

Blockchain for 5G-Enabled IoHT—A Framework for Secure Healthcare Automation

Lecture notes in networks and systems (2023)

Md. Imran Alam Md Oqail Ahmad Shams Tabrez Siddiqui Mohammad Rafeek Khan Haneef Khan

Wearable Technology

10.1007/978-981-19-7615-5_64

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Citations (6)

TSSR: A Proposed Tool for Secure Software Requirement Management

International Journal of Information Technology and Computer Science (2014)

Mohammad Ubaidullah Bokhari Shams Tabrez Siddiqui

This paper provides a unified framework in which entire design of the project can be captured right from the beginning of the software development. This paper discusses about the requirements which should be included in the development of the requirement management tools. As the requirements, criteria which have been discussed, we introduce a requirement management tool known as TSSR (Tool for Secure Software Requirement). This tool manages risk analysis, system requirements, security of the system and project, users/group restriction, encrypted database, traceability and extension of the tool to interact with external requirement management tools. The aim of this paper is to describe the TSSR framework and its four components: Planner, Modeller, Prover and Documenter which will be helpful in interacting and managing requirements with arbitrary number of external tools for secure software development.

Traceability

Functional requirement

Requirement prioritization

Requirements Traceability

Software requirements

10.5815/ijitcs.2015.01.01

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Citations (5)