Exploring the role of encryption and the dark web in cyber terrorism: legal challenges and countermeasures in India Hifajatali Sayyed, Sanu Rani Paul Cogent Social Sciences, 2025 The rapid growth of digital technologies has provided new opportunities for cyber criminals, including terrorist organizations, to exploit encrypted communications and the Dark Web for illicit activities. Cyber terrorism, characterized by the use of cyber-attacks to cause fear, disrupt societies, or damage national security, has become a significant threat in the modern world. Encryption technology ensures privacy and security for legitimate users, but it is also increasingly used by terrorists to coordinate attacks and evade detection. Simultaneously, the Dark Web offers anonymity, facilitating illegal activities such as recruitment, fundraising, and the planning of cyber-attacks. This research explores the intersection of encryption, the Dark Web, and cyber terrorism, examining the Indian legal implications of these technologies in facilitating terrorist activities. Using a doctrinal research methodology, this study analyzes existing Indian legal frameworks such as the Unlawful Activities (Prevention) Act and the Information Technology Act along with international conventions addressing encryption and the Dark Web. It evaluates the challenges posed by these technologies to law enforcement and the balance between national security and individual privacy rights. It evaluates potential countermeasures, including international cooperation, advanced decryption techniques, and policy reforms aimed at striking a balance between privacy and national security. This study provides insights into the growing threat posed by cyber terrorism in India and the urgent need for comprehensive legal and technological responses.
Artificial intelligence and criminal liability in India: exploring legal implications and challenges Hifajatali Sayyed Cogent Social Sciences, 2024 Artificial Intelligence (AI) is revolutionizing various industries, including the legal landscape, in India. As AI technology becomes more prevalent, questions arise regarding its potential impact on criminal liability. This abstract delves into the legal implications and challenges associated with AI’s involvement in criminal activities in India. The intersection of AI and crime poses complex questions about the attribution of criminal liability. The ability of AI algorithms to operate autonomously blurs the lines of accountability, making it challenging to determine who should be held responsible for AI-driven criminal acts. The abstract explores the concept of legal personhood for AI systems and the need for legal frameworks that address the responsibilities of AI developers, operators, and users. Additionally, the abstract highlights the importance of data privacy and security in the context of AI-driven criminal activities. Criminals can exploit AI algorithms to harvest and misuse personal data, necessitating robust data protection laws to safeguard individuals’ privacy rights. Furthermore, AI-generated fake content, such as deepfakes, raises concerns about the integrity of evidence and the potential for manipulating legal proceedings. The abstract also addresses the ethical considerations surrounding AI’s involvement in criminal activities. It highlights the urgent need for the Indian legal system to address the complex implications of AI’s involvement in criminal activities. By developing comprehensive legal frameworks, emphasizing ethical AI development, and prioritizing data privacy, India can navigate the challenges posed by AI-driven crime and ensure that technology advances responsibly and securely within the bounds of criminal liability.
From silence to sanction: comparative analysis of necrophilia laws in India and other countries Hifajatali Sayyed, Jyotsana Singh Cogent Social Sciences, 2024 This research paper focuses into the legal liability of necrophilia across various jurisdictions, with a focus on India. Necrophilia, a deeply stigmatized and seldom-discussed crime, presents unique challenges for legislators and legal practitioners. In India, the legal framework addressing necrophilia is often ambiguous, leading to inconsistencies in prosecution and punishment. This study aims to illuminate the gaps in Indian law by comparing it with the legal approaches of other countries, including those with explicit statutes and stringent penalties. Through a detailed examination of case laws, statutory provisions, and legal commentaries, the research identifies the strengths and weaknesses of different legal systems in dealing with necrophilia. The comparative analysis seeks to provide a comprehensive understanding of how different cultural, social, and legal contexts influence the formulation and enforcement of laws against necrophilia. By highlighting best practices and potential pitfalls, this study offers recommendations for enhancing the Indian legal framework to ensure more effective deterrence and prosecution of necrophilia. Ultimately, the research underscores the importance of clear, robust legal provisions to address this crime, advocating for legal reforms that balance the need for justice with respect for the sensitivities surrounding the issue.
Deep Learning-Powered Intrusion Detection Systems: Enhancing Efficiency in Network Security M. Balamurugan, UshaBala Varanasi, R.Alarmelu Mangai, P Vinayagam, S Karuppaiah, Hifajatali Sayyed Proceedings 3rd International Conference on Advances in Computing Communication and Applied Informatics Accai 2024, 2024 Although deep learning models have shown impressive results in various fields, their intrinsic complexity sometimes makes them difficult to understand, raising questions about their dependability and credibility in crucial applications. The usefulness of LRP in improving the interpretability of deep learning models is examined in the suggested work. Decision-making process insights are obtained using LRP to ascribe the significance of input characteristics to the model’s predictions. The investigation showed that LRP greatly enhances DL models’ interpretability. Users may discover key characteristics and get essential insights into the model’s decision-making process by viewing the relevance scores provided to input features. With a final interpretability score of 95%, the suggested strategy significantly improved over current techniques. The results show how crucial interpretability is for DL models and emphasize how helpful LRP is in boosting transparency and reliability. LRP helps users comprehend and evaluate the choices made by sophisticated neural networks by offering explanations for model predictions. This helps to improve the dependability and practicality of deep learning in real-world contexts.
Machine Learning Approaches for Sentiment Analysis in Social Media Data S. Thenappan, Anju R Krishnan, P. Sundara Bala Murugan, A.S. Valarmathy, P. Chitra, Hifajatali Sayyed 7th International Conference on Electronics Communication and Aerospace Technology Iceca 2023 Proceedings, 2023 As a crucial component of Natural Language Processing, sentiment analysis autonomously identifies and categorizes the positive and negative emotions reflected in social media text data. Here, the proposed work examines the viability of using Support Vector Machines (SVM) as a technique for machine learning to decipher online comments. Analysis of public opinion is crucial in the information age. Due to its nonlinear separability and efficacy with high-dimensional data, SVM is well-suited for this task. The bag-of-words technique is utilized for data acquisition, cleaning, and feature extraction. The SVM model is trained using cross-validation and hyperparameter adjustment, resulting in a 97% accuracy rate. Compared to other algorithms, the proposed SVM technique is preferable to the current method. The proposed work sheds light on how to assess the attitudes of social media users, whose findings may have significant implications for industries, including advertising, politics, and brand public opinion.
Power Optimization in 6T-SRAM Cell using Carbon Nanotube Field-Effect Transistors (CNTFET) L. Saranya, Priyanka Tanwar, S. Manikandan, Hifajatali Sayyed, Navaneethan S, R J Venkatesh 7th International Conference on Electronics Communication and Aerospace Technology Iceca 2023 Proceedings, 2023 Due to their superior performance, dependability, and low power consumption, carbon nanotube field-effect transistors (CNFETs) have become a silicon-free alternative to static random-access memory (SRAMs). A six-transistor CNTFET-based SRAM (C-SRAM) cell loses Power during inactive periods. This investigation proposes a voltage divider method and a power-down transistor method to reduce SRAM leakage power. HSPICE simulation determines the optimal channel length for the best low-power and high-performance performance. In Nanoscale technology, the percentage of total Power consumed by leakage is rising-a low-power C-SRAM cell to combat the power leakage problem. At the 32nm manufacturing node, HSPICE's CNTFET was used to simulate a 6T SRAM cell architecture using the Stanford CNFET model. The proposed step-down transistor method reduced leakage power by 38.4% and decreased delay by 9%, whereas the voltage divider method reduced leakage power by 19.3% and decreased delay by 4%.
RECENT SCHOLAR PUBLICATIONS
Exploring the role of encryption and the dark web in cyber terrorism: legal challenges and countermeasures in India H Sayyed, SR Paul Cogent Social Sciences 11 (1), 2479654 , 2025 2025 Citations: 10
Human Rights and the rehabilitative purpose of punishment: a critical legal perspective H Sayyed Passages: International Review of Political History and Legal Culture 17 (3 … , 2025 2025
AN ANALYSIS OF WITNESS PROTECTION TO VICTIMS OF SEXUAL OFFENCE H SAYYED, K KAUSHIK PASSAGENS. INTERNATIONAL REVIEW OF POLITICAL HISTORY AND LEGAL CULTURE 17 (1 … , 2025 2025
Artificial intelligence and criminal liability in India: exploring legal implications and challenges H Sayyed Cogent Social Sciences 10 (1), 2343195 , 2024 2024 Citations: 24
From silence to sanction: comparative analysis of necrophilia laws in India and other countries H Sayyed, J Singh Cogent Social Sciences 10 (1), 2433700 , 2024 2024 Citations: 2
Enhancing Restorative Justice through Victim and Witness Protection Measures H Sayyed, K Kaushik Jurnal Cita Hukum 12 (3), 671-684 , 2024 2024 Citations: 1
Impacto de las emergencias de salud pública de alcance internacional en la investigación en ciencias sociales P Aishwarya, PS Rani, S Hifajatali, P KDV Interacción y perspectiva: Revista de Trabajo Social 14 (3), 782-800 , 2024 2024
EXPLORING THE INTERPLAY BETWEEN ADVERTISEMENTS, MEDIA LAW, AND SOCIETY IN INDIA H Sayyed, J Kasture, KDV Prasad Lex Humana (ISSN 2175-0947) 15 (4), 347-363 , 2023 2023 Citations: 1
Witness Protection in Contemporary Society. H Sayyed, A Kaushal Journal of Positive School Psychology 6 (5) , 2022 2022 Citations: 6
The Dichotomy between the Sexual Autonomy of the Child and Indian Laws in the Light of Evolving Capacities of the Child H Sayyed, SR Paul NeuroQuantology 20 (5), 892 , 2022 2022
Removing barriers in the 21st Century of World Politics through the medium of Strategic Communication and Sports Law S Chanda, H Sayyed, MK Saha Rigeo 11 (10) , 2021 2021 Citations: 2
The Media, Crime Prevention and Contemporary Society: A Qualitative Approach. H Sayyed Turkish Online Journal of Qualitative Inquiry 12 (8) , 2021 2021
MOST CITED SCHOLAR PUBLICATIONS
Artificial intelligence and criminal liability in India: exploring legal implications and challenges H Sayyed Cogent Social Sciences 10 (1), 2343195 , 2024 2024 Citations: 24
Exploring the role of encryption and the dark web in cyber terrorism: legal challenges and countermeasures in India H Sayyed, SR Paul Cogent Social Sciences 11 (1), 2479654 , 2025 2025 Citations: 10
Witness Protection in Contemporary Society. H Sayyed, A Kaushal Journal of Positive School Psychology 6 (5) , 2022 2022 Citations: 6
From silence to sanction: comparative analysis of necrophilia laws in India and other countries H Sayyed, J Singh Cogent Social Sciences 10 (1), 2433700 , 2024 2024 Citations: 2
Removing barriers in the 21st Century of World Politics through the medium of Strategic Communication and Sports Law S Chanda, H Sayyed, MK Saha Rigeo 11 (10) , 2021 2021 Citations: 2
Enhancing Restorative Justice through Victim and Witness Protection Measures H Sayyed, K Kaushik Jurnal Cita Hukum 12 (3), 671-684 , 2024 2024 Citations: 1
EXPLORING THE INTERPLAY BETWEEN ADVERTISEMENTS, MEDIA LAW, AND SOCIETY IN INDIA H Sayyed, J Kasture, KDV Prasad Lex Humana (ISSN 2175-0947) 15 (4), 347-363 , 2023 2023 Citations: 1
Human Rights and the rehabilitative purpose of punishment: a critical legal perspective H Sayyed Passages: International Review of Political History and Legal Culture 17 (3 … , 2025 2025
AN ANALYSIS OF WITNESS PROTECTION TO VICTIMS OF SEXUAL OFFENCE H SAYYED, K KAUSHIK PASSAGENS. INTERNATIONAL REVIEW OF POLITICAL HISTORY AND LEGAL CULTURE 17 (1 … , 2025 2025
Impacto de las emergencias de salud pública de alcance internacional en la investigación en ciencias sociales P Aishwarya, PS Rani, S Hifajatali, P KDV Interacción y perspectiva: Revista de Trabajo Social 14 (3), 782-800 , 2024 2024
The Dichotomy between the Sexual Autonomy of the Child and Indian Laws in the Light of Evolving Capacities of the Child H Sayyed, SR Paul NeuroQuantology 20 (5), 892 , 2022 2022
The Media, Crime Prevention and Contemporary Society: A Qualitative Approach. H Sayyed Turkish Online Journal of Qualitative Inquiry 12 (8) , 2021 2021