AI in Assembly Level Security Testing
Ensuring their security has become a critical challenge with the increasing complexity of modern software systems. Assembly-level security testing plays a crucial role in identifying vulnerabilities at the lowest layer of the code, where many sophisticated attacks can occur. This research investigates the application of artificial intelligence (AI) techniques in enhancing assembly-level security testing. We explore how AI, specifically machine learning models, can be leveraged to automate the detection of security flaws in assembly code by analyzing instruction patterns, control flow, and memory access behaviors. The paper presents a novel approach combining deep learning and static analysis tools to identify vulnerabilities such as buffer overflows, race conditions, and improper memory accesses. Experimental results show that AI-based techniques can significantly reduce the time and effort required for security analysis while improving the accuracy of vulnerability detection. Additionally, we discuss the challenges and limitations of applying AI in this context, particularly in terms of interpretability and integration with existing security tools. The findings highlight the potential of AI to revolutionize assembly-level security testing, paving the way for more efficient and robust vulnerability detection in low-level software development.
Published by: Shiwangi Soni
Author: Shiwangi Soni
Paper ID: V10I6-1254
Paper Status: published
Published: November 18, 2024
Optimizing Leadership Through Effective Time Management: A Comprehensive Review
Effective time management is a cornerstone of successful leadership, where leaders must adeptly balance numerous responsibilities, deadlines, and competing priorities. This study provides a comprehensive analysis of time management strategies specifically tailored for leadership roles, drawing on a thorough literature review and empirical findings. Key time management techniques are identified, alongside their relevance to the distinct demands of leadership, with a particular focus on how these practices contribute to organizational success (Covey, 1994; Claessens et al., 2007). Furthermore, the paper investigates common challenges leaders encounter in managing time effectively, such as decision-making fatigue and priority conflicts (Macan, 1994). Practical, research-backed solutions are proposed to address these obstacles, aiming to support leaders in optimizing time management for enhanced productivity and influence. By synthesizing both theoretical and practical insights, this study contributes to the discourse on leadership efficacy, underscoring the vital role of effective time management in achieving strategic goals and fostering a productive work environment (Grissom et al., 2015; Gupta & Sharma, 2016).
Published by: Navya Bajaj
Author: Navya Bajaj
Paper ID: V10I6-1234
Paper Status: published
Published: November 16, 2024
Intersecting Psychopathologies: Analyzing Delusional and Hallucinatory Presentations in Schizophrenia and Dementia Patients
This study examines the intersection of psychopathologies between schizophrenia and dementia, focusing on delusional and hallucinatory presentations that complicate diagnosis and treatment. Both disorders exhibit overlapping psychotic symptoms, including hallucinations and delusions, yet are driven by distinct neurobiological and cognitive underpinnings. This research aims to improve diagnostic accuracy and guide individualized therapeutic strategies for patients presenting with overlapping psychotic features. Findings emphasize the importance of tailored neuropsychological assessments and the potential benefits of adapting therapeutic approaches from schizophrenia treatment for dementia patients experiencing psychosis. This study contributes to the evolving understanding of neuropsychiatric overlaps and distinctions, underscoring the need for further research on targeted interventions.
Published by: Gunika Goyal, Zuby Hasan
Author: Gunika Goyal
Paper ID: V10I6-1207
Paper Status: published
Published: November 15, 2024
IoT Based E-Waste Facility Locator
The escalating concern of digital waste (e-waste) prompts the immediate demand for an ingenious service, plus the IoT-based e-waste administration system offers a substantial improvement in resolving this expanding worry. E-waste, filled with harmful products poses considerable ecological as well as health and wellness dangers when poorly handled. To tackle this issue the system utilizes innovative formulas such as artificial intelligence as well as anticipating analytics to procedure information from ultrasonic sensing units released in e-waste collection containers. These formulas allow real-time tracking of container fill degrees, permitting waste administration authorities to intend collections exactly. By maximizing hills plus source allotment with the main cloud system, the system not only lowers the threat of overrunning containers but likewise reduces unneeded waste collection lorry journeys therefore lowering gas intake together with greenhouse gas exhausts. This detailed method not only boosts the logistical facets of e-waste administration but also cultivates openness and responsibility, making it a useful payment to worldwide initiatives in advertising accountability as well as lasting e-waste disposal techniques.
Published by: Swathi.B, Inbavalli.A
Author: Swathi.B
Paper ID: V10I6-1179
Paper Status: published
Published: November 15, 2024
Strengthening Cybersecurity in Indian Healthcare – Lessons from the Recent Ransomware Attacks on Hospitals
The recent rise in ransomware attacks against healthcare institutions highlights some critical gaps in global cyber security, but most notably in India. More and more reliant on digital systems, Indian hospitals are now becoming hot targets for attackers. Attacks reveal vulnerabilities in data security and continuity of operations and financial integrity. It is a comparative study of repeated vulnerabilities in health care information security based on a thorough analysis of existing previous research on ransomware attacks-from both Indian and international contexts. Periodicals disclose similar themes: continued usage of antiquated infrastructure, inadequate investment in cyber security resources, and failure to prepare for incident response. Through such synthesis, this study propounds that what is articulated aptly in the Indian context could be reaffirmed by a multi-layered approach at cyber security, including zero-trust frameworks, encryption protocols, and very much more collaboration between the public and private sectors. Therefore, these strategic suggestions must aid in growing resilience and capacity to confront and counter potential attackers so that this health care system protects sensitive information and delivers all critical services with advances in cyber attacks. Thus, for a strategic stake in safety, this paper recommends a multi-layer approach towards cyber security in Indian healthcare. This will make an attempt at ascertaining insights from various international best practices in reforms that go beyond changing regulations and law enforcement while incorporating technological innovations. Instead, such recommendations would include AI-based threat detection systems, zero-trust architecture, and powerful incident response plans. Main research areas identified are workforce training, stakeholder collaborations, and government-led initiatives in the enforcement of cyber security standards. Following lessons learned from the recent ransomware attacks, this paper suggests a roadmap for the betterment of Indian healthcare institutions toward more resilient cyber security frameworks that can protect it better against emerging cyber threats in the future.
Published by: Poongodi R K, Samuel R, Rohith P, Parthasarathy S, Ramana B
Author: Poongodi R K
Paper ID: V10I6-1225
Paper Status: published
Published: November 15, 2024
Effect of Interest Rate Change on Probability of Banking Industry in India
Interest rate risk represents one of the key forms of financial risk faced by banks it has given rise to an extensive body of research mainly focused on the estimation of the sensitivity of banks' stock returns to changes in interest rates profitability is a major concern for the banking sector the public sector commercial banks are the backbone of Indian economy and it supports many ways many sectors like agriculture, small business, small industries, big industries, directly in providing the finance every research have its base and the outcomes are based on the type of study in the process of review of literature in books, journals, annual reports, websites of banking sector it has been observed that there are many deficiencies in the performance of the banking sector. It is expected that banks have to monitor, maintain, and manage their assets and liabilities portfolios in a systematic manner taking into account the various risks involved in these areas. Profit and loss account and balance sheet risk of a bank can have a significant influence on interest rate risk the rise and fall in the interest rate have a great impact on the profitability return on equity and return on assets. The present research work focuses on the impact of interest rate changes on the profitability of the banking industry in India the study covers 30 years and a model that was developed was regression analysis to valid the study with a minimum of 0.05 level of significance is considered very important to justice the impact of an interest rate change on the profitability of the public sector and Commercial banks.
Published by: Sakshi Garg
Author: Sakshi Garg
Paper ID: V10I6-1212
Paper Status: published
Published: November 14, 2024
