Biblio

With the explosive growth of IoT applications, billions of things are now connected via edge devices and a colossal volume of data is sent over the internet. Providing security to the user data becomes crucial. The rise in zero-day attacks are a challenge in IoT scenarios. With the large scale of IoT application detection and mitigation of such attacks by the network administrators is cumbersome. The edge device Raspberry pi is remotely logged using Secure Shell (SSH) protocol in 90% of the IoT applications. The case study of SSH brute force attack on the edge device Raspberry pi is demonstrated with experimentation in the IoT networking scenario using Intrusion Detection System (IDS). The IP crawlers available on the internet are used by the attacker to obtain the IP address of the edge device. The proposed system continuously monitors traffic, analysis the log of attack patterns, detects and mitigates SSH brute attack. An attack hijacks and wastes the system resources depriving the authorized users of the resources. With the proposed IDS, we observe 25% CPU conservation, 40% power conservation and 10% memory conservation in resource utilization, as the IDS, mitigates the attack and releases the resources blocked by the attacker.

Recently, phishing attacks have taking a new dimension with the addition of quick response code to phishing attacks vectors. Quick response code phishing attack is when an attacker lures its victims to voluntarily divulge personal information such as password, personal identification number, username and other information such as online banking details through the use of quick response code. This attack is on the rise as more and more people have adopted mobile phone usage not just for communication only but to perform transaction seamlessly. The ease of creation and use of quick response code has made it easily acceptable to both provider of goods and services and consumers. This attack is semantic as it exploits human vulnerabilities; as users can hardly know what is hidden in the quick response code before usage. This study reviewed various methodologies that earlier researcher have used to detect this semantic-based attack of phishing. The strength of each methodology, its weakness and general research gaps identified.

The use of information systems is a solutions to support the operations of the institution. In order to access information systems in accordance with their access rights, usually the user will enter a username and password as the authentication process. However, this has a weakness if the other side is cheating by sniffing or tapping user passwords. This makes the password unsafe to use for access information systems. If the username and password if it is stolen, abuse will occur for the crime or theft of the owner's identity accounts like name, email, telephone number, biological mother's name, account number and others. One solution is to apply two factor authentication method which is Time-Based One Time Password (TOTP) and Secure Algorithm Hash Algorithm 1 (SHA1). With this method, the system Authentication of a website or site does not only depend on the username and password to enter the account user but the user will get a token or code which is used to log in to the user's account. After testing hundred times, the authentication process who use Two Factor Authentication can tackle possible attacks on abuse o user access rights. Time Based Application One Time Password and Secure Hash Algorithm 1 Generate code that can't be the same because of the code it can only be used once with a time limit certain so it is difficult to guess. SHA1 with long input different strings will produce output with a fixed length string of 160 bits. Test results are obtained the results that 30 seconds is enough to prevent hackers log in and take over the account without permission and also prove that two-factor authentication can increase the security of the authentication process well. The time above is the result of testing the process user authentication until the hacker sniffing against tokens to try to take over the account.