Mesopotamian Journal of CyberSecurity

ue to the processes involved in the electronic transformation of data, computer systems, and the Internet have led to significant security, privacy, and confidentiality issues in recent years. Intrusion detection systems (IDSs) are one of the most promising data and network protection tools; there are many approaches and techniques used for the detection of intrusions based on the intrusion type; in this paper, different types of intrusions are reviewed, and the different kinds of systems for detecting intrusions, challenges and future directions for researchers determined at the end of this paper

The honeyword system can be considered a mechanism for detecting passwords aiming to develop hashed password security via creating a password cracking easier to be detected. A lot of false passwords come with true passwords for forming the false and true passwords for all users. When a hacker logs in and uses a honeyword, a silent alarm trigger illustrates that the honeyword system could be compromised. A lot of mechanisms of honeyword generating have been submitted and all of them have a defect in the generation, a support shortage for every honeyword characteristic, and a slew of honeyword complications. HSA (harmony search algorithm), a metaheuristic intelligence algorithm getting inspiration from music, can be utilized here for offering a way to generate honeyword. The suggested mechanism of honeyword generating is enhancing the generating, enhancing every honeyword characteristic, and addressing the shortcomings of each prior approach. This paper is showing many previous mechanisms of honeyword generating, clarifying the proposed one, discussing every experimental finding, and comparing the novel mechanism of honeyword generating with the ones before it

Many methods have been used to build intrusion detection system based on the intended aim to be achieved in with the selected method. The hybrid methods (more than one method) usually gives better results and accuracy. The recent developments and popularization of network & information technologies have necessitated the need for network information security. Human-based smart intrusion detection systems (IDSs) are built with the capability to either warn or intercept network intrusion; this is not possible with the conventional network security systems. However, most information security studies have focused on improvement of the effectiveness of smart network IDSs. This study used TLBO algorithm as a feature selection algorithm to choose the best subset features and SVM classifier to classify the packet if it is intrusion or normal packet, two machine learning datasets used to test the proposed algorithm, the results show that the proposed algorithm perform better than many of the existing work in IDS

Recent use of computer systems and the Internet has contributed to severe protection, privacy and confidentiality problems due to the processes involved in the electronic data transformation. Much has been done to improve the security and privacy of information systems, but these issues remain in computer systems; there is, in fact, no system in the world That is early stable. Furthermore, various network attacks develop when the signature database incorporates a new signature with irregular behaviour. With many types of attacks emerging, many techniques are being built and used in many forms of network attacks. Intrusion detection systems ( IDS) are one of those methods. This method allows the management of several network networks, cloud storage and an information system. The IDS can track and detect attacks to breach a system's security features (confidentiality, availability, and integrity). This research aims at classifying IDS based on their intended goal and to compare different types of IDS in each class

Steganography is a form of encryption which has been used since the days of ancient Greece. It is a method of hiding information within other data. For instance, you may have a company logo in your email, and if someone intercepted the emails being sent, they would see only the innocuous image data. But if they could get access to the same file on your hard drive, they would realise that it contains a message. Steganography deals with hiding the secret information in the cover medium with as minimum distortion as possible. Three types of hiding; text hiding, speech hiding, and encrypted text hiding in coded images are presented in this paper. Also, the challenges and future directions are presented