Analysis on IOT Botnet and DDOS attack

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.Cataloged from PDF version of thesis report.Includes bibliographical references (page 33-35).IoT has the potential to affect our ways of life. It is the next step of Internet where all the physical objects around us will be connected to each other. According to Gartner, by 2020 there will be over 26 billion connected devices. However, the security of such a big network of interconnected devices is of paramount importance. According to a report from Russian-based Kaspersky Labs, botnets - not spam, viruses or worm- currently pose the biggest threat to the Internet.However, few works that have been done on this issue in the recentpast are not successful on themselves alone. In this paper, I present an in depth understanding of the problem and propose a mechanism to counter this issue. My proposal is based on Transductive Confidence Machines, which was previously proposed as a mechanism to provide confidence measures on classification decisions. It proposes to make use of this algorithm with the help of honeypot to collect attack data and uses these data to make the system more proficient.Md. Walid Bin NurB. Computer Science and Engineerin