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IoT Enabled Intelligent System for Radiation Monitoring and Warning Approach using Machine Learning
Muhammad Saifullah,Imran Sarwar Bajwa,Muhammad Ibrahim,Mutyyba Asgher International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.5
Internet of things has revolutionaries every field of life due to the use of artificial intelligence within Machine Learning. It is successfully being used for the study of Radiation monitoring, prediction of Ultraviolet and Electromagnetic rays. However, there is no particular system available that can monitor and detect waves. Therefore, the present study designed in which IOT enables intelligence system based on machine learning was developed for the prediction of the radiation and their effects of human beings. Moreover, a sensor based system was installed in order to detect harmful radiation present in the environment and this system has the ability to alert the humans within the range of danger zone with a buzz, so that humans can move to a safer place. Along with this automatic sensor system; a self-created dataset was also created in which sensor values were recorded. Furthermore, in order to study the outcomes of the effect of these rays researchers used Support Vector Machine, Gaussian Naïve Bayes, Decision Trees, Extra Trees, Bagging Classifier, Random Forests, Logistic Regression and Adaptive Boosting Classifier were used. To sum up the whole discussion it is stated the results give high accuracy and prove that the proposed system is reliable and accurate for the detection and monitoring of waves. Furthermore, for the prediction of outcome, Adaptive Boosting Classifier has shown the best accuracy of 81.77% as compared with other classifiers.
Ransomware Dissemination and Mitigation Techniques - A Review
Kashif Nisar,Muhammad Imran Sarwar (Member IEEE),Muhammad Tariq Arfan,Muhammad Waseem Iqbal,Sana Ahmad 한국차세대컴퓨팅학회 2021 한국차세대컴퓨팅학회 학술대회 Vol.2021 No.11
Digital assets are one of the most important precious entities for any organization and if someone captures them for the purpose of ransom, then it would be a serious threat. The threat actor behind this activity is the ransomware. The threat posed by the ransomware on personal and business data assets expands very quickly. Data on an infected computer becomes encrypted until a ransom is paid for its release. Each year, ransomware causes hundreds of millions of dollars of losses for the companies throughout the world. Frequently, new versions are released because of the enormous profit margins and notorious practices. Antivirus software and other intrusion detection systems can be bypassed, so they are not a permanent solution so-far. This research work contributes some latest dissemination and mitigation techniques that are using in ransomware attacks. We also discussed the countermeasures to mitigate the ransomware attacks and some decryption tools and ransomware simulation to find the vulnerabilities in the system.