JOURNAL OF NANOSCOPE (JN)

Effectiveness Of Detecting Android Malware Using Deep Learning Techniques

Atif Raza Zaidi, Tahir Abbas, Hamza Zahid, Sadaqat Ali Ramay — Mon, 06 Nov 2023 00:00:00 +0000

The pervasive adoption of Android in the smartphone market has attracted the attention of malicious actors who continually exploit its open system architecture. A number of cybercriminals have been targeting Android in recent times due to its popularity. As a result of the increasing demand for smartphones, malicious users have recently been drawn to Android and taken advantage of its open system design to commit crimes. As Android has grown in popularity, attackers have been targeting it more. It is possible to gain access to data hidden from view using algorithms even though security measures have been implemented. An Android malware detection system based on machine-deep learning has been developed by utilizing dynamic analysis, in which suspected malware is executed in a secure environment in order to observe its behavior, as well as static analysis, in which malware files are examined without being executed on an Android device. As a result of our experimental results, our suggested models have a higher accuracy rate than industry standards, with a static accuracy rate of 99 and a dynamic accuracy rate of 98 for CNN-LSTM

Usage and Implications of Artificial Intelligence for Research Purposes at University Level

Gulfraz Naqvi, Muhammad Abubakar Sarfaraz, Muhammad Usman Ali, Ahmer Ali — Sun, 31 Dec 2023 00:00:00 +0000

AI is a complex form of research that aims to enable machines to act, behave, and make decisions like humans. As advances in computing and Information Communication Technologies (ICT) continue, there is a gradual shift towards designing and designing computer systems and devices with human-like dimensions and functionality that make them more impactful. The method chosen for this study is quantitative research. The area where new technologies were using AI tools was those using learning analytics. The method of data collection was a survey questionnaire based on Google as a method of data collection based on closed questions. The questionnaire design followed several assumptions such as linear, multiple questions, etc. The method used for data analysis included descriptive statistical analysis, correlation, and regression analysis. Furthermore, statistical evidence has shown that AI tools can be widely used for research purposes. This study offers suggestions to university students that they can use AI tools effectively in their studies in universities, either by increasing their awareness and trying to adopt AI technologies or by ensuring that they carry technological tools a large face will dominate the role. University IT departments should collaborate with students to set up AI labs and strengthen virtual labs.

The Developing Field of Hybrid Perovskite Semiconductor Nanomaterials: A Survey of Recent Advances in their Production and Usage for Optoelectronic Applications.

Sun, 31 Dec 2023 00:00:00 +0000

Due to its distinctive characteristics, including high absorption coefficients, lengthy carrier diffusion lengths, and variable bandgap energies, hybrid perovskite semiconductor nanomaterials have become a potential class of materials for a variety of optoelectronic applications. In this article, we present a thorough analysis of current advancements in the production and application of hybrid perovskite semiconductor nanomaterials. We go over the different ways to create these materials, such as hybrid techniques, vapor-phase deposition, and solution-phase synthesis. We also emphasize the difficulties in synthesising them as well as the solutions being sought. The use of hybrid perovskite semiconductor nanomaterials for optoelectronic devices including photovoltaic, light-emitting diodes, and photo detectors has made some significant strides, which we also review. Lastly, we go over the open questions and potential research routes in this quickly developing area. This review highlights the revolutionary potential of hybrid perovskite semiconductor nanomaterials and offers a thorough overview of the state-of-the-art in this field.

Quantum Computing: Principles of Breaking Encryption

Gulfraz Naqvi, Muhammad Burhan Umar, Saqib Ali — Sun, 31 Dec 2023 00:00:00 +0000

The basis of modern security relies on encryption methods that are practically impossible, but theoretically possible, to break. Quantum computing is a process by which a computer takes advantage of quantum mechanics to solve complex problems. IBM has been working on and has made quantum computers available for almost a decade now. These machines can be used for cryptography related problems like decrypting complex encryptions much faster than the classical computers we have today. So much faster in fact, that a quantum computer can factor a 300-digit number in the same amount of time that a normal computer could multiply the two numbers together, making our current encryption methods obsolete.