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Phishing Email Detection Using Machine Learning Techniques
Alammar, Meaad,Badawi, Maria Altaib International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.5
Email phishing has become very prevalent especially now that most of our dealings have become technical. The victim receives a message that looks as if it was sent from a known party and the attack is carried out through a fake cookie that includes a phishing program or through links connected to fake websites, in both cases the goal is to install malicious software on the user's device or direct him to a fake website. Today it is difficult to deploy robust cybersecurity solutions without relying heavily on machine learning algorithms. This research seeks to detect phishing emails using high-accuracy machine learning techniques. using the WEKA tool with data preprocessing we create a proposed methodology to detect emails phishing. outperformed random forest algorithm on Naïve Bayes algorithms by accuracy of 99.03 %.
Toward a New Safer Cybersecurity Posture using RC6 & RSA as Hybrid Crypto-Algorithms with VC Cipher
Jenan.S, Alkhonaini,Shuruq.A, Alduraywish,Maria Altaib, Badawi International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.1
As our community has become increasingly dependent on technology, security has become a bigger concern, which makes it more important and challenging than ever. security can be enhanced with encryption as described in this paper by combining RC6 symmetric cryptographic algorithms with RSA asymmetric algorithms, as well as the Vigenère cipher, to help manage weaknesses of RC6 algorithms by utilizing the speed, security, and effectiveness of asymmetric algorithms with the effectiveness of symmetric algorithm items as well as introducing classical algorithms, which add additional confusion to the decryption process. An analysis of the proposed encryption speed and throughput has been conducted in comparison to a variety of well-known algorithms to demonstrate the effectiveness of each algorithm.