Biblio

Undoubtedly, technology has not only transformed our world of work and lifestyle, but it also carries with it a lot of security challenges. The Distributed Denial-of-Service (DDoS) attack is one of the most prominent attacks witnessed by cyberspace of the current era. This paper outlines several DDoS attacks, their mitigation stages, propagation of attacks, malicious codes, and finally provides redemptions of exhibiting normal and DDoS attacked scenarios. A case study of a SYN flooding attack has been exploited by using Metasploit. The utilization of CPU frame length and rate have been observed in normal and attacked phases. Preliminary results clearly show that in a normal scenario, CPU usage is about 20%. However, in attacked phases with the same CPU load, CPU execution overhead is nearly 90% or 100%. Thus, through this research, the major difference was found in CPU usage, frame length, and degree of data flow. Wireshark tool has been used for network traffic analyzer.

The era of technology has seen many rising inventions and with that rise, comes the need to secure our systems. In this paper we have discussed how the old generation of people are falling behind at being updated in tandem with technology, and losing track of the knowledge required to process the same. In addition this factor leads to leakage of critical personal information. This paper throws light upon the steps taken in order to exploit the pre-existing operating system, Windows 7, Ultimate, using a ubiquitous framework used by everyone, i.e. Metasploit. It involves installation of a backdoor on the victim machine, from a remote setup, mostly Kali Linux operating machine. This backdoor allows the attackers to create executable files and deploy them in the windows system to gain access on the machine, remotely. After gaining access, manipulation of sensitive data becomes easy. Access to the admin rights of any system is a red alert because it means that some outsider has intense access to personal information of a human being and since data about someone explains a lot of things about them. It basically is exposing and human hate that. It depraves one of their personal identity. Therefore security is not something that should be taken lightly. It is supposed to be dealt with utmost care.

Cyber attacks are increasing at a rapid pace targeting financial institutions and the corporate sector, especially during pandemics such as COVID-19. Honeypots are implemented in data centers and servers, to capture these types of attacks and malicious activities. In this work, an experimental prototype is created simulating the attacker and victim environments and the results are consolidated. Attacker information is extracted using the Meterpreter framework and uses reverse TCP for capturing the data. Normal honeypots does not capture an attacker and his identity. Information such as user ID, Internet Protocol(IP) address, proxy servers, incoming and outgoing traffic, webcam snapshot, Media Access Control(MAC) address, operating system architecture, and router information of the attacker such as ARP cache can be extracted by this honeypot with "biteback" feature.

While Moving Target Defenses (MTDs) have been increasingly recognized as a promising direction for cyber security, quantifying the effects of MTDs remains mostly an open problem. Each MTD has its own set of advantages and disadvantages. No single MTD provides an effective defense against the entire range of possible threats. One of the challenges facing MTD quantification efforts is predicting the cumulative effect of implementing multiple MTDs. We present a scenario where two MTDs are deployed in an experimental testbed created to model a realistic use case. This is followed by a probabilistic analysis of the effectiveness of both MTDs against a multi-step attack, along with the MTDs' impact on availability to legitimate users. Our work is essential to providing decision makers with the knowledge to make informed choices regarding cyber defense.