Economic Denial of Sustainability Attacks Mitigation in the Cloud

Cyber security is one of the most attention seeking issues with the increasing advancement of technology specifically when the network availability is threaten by attacks such as Denial of Service attacks (DoS), Distributed DoS attacks (DDoS), and Economic Denial of Sustainability (EDoS). The loss of the availability and accessibility of cloud services have greater impacts than those in the traditional enterprises networks. This paper introduces a new technique to mitigate the impacts of attacks which is called Enhanced DDoS-Mitigation System (Enhanced DDoS-MS) that helps in overcoming the determined security gap. The proposed technique is evaluated experimentally and the result shows that the proposed method adds lower delays as a result of the enhanced security. The paper also suggests some future directions to improve the proposed framework

Computer Forensics: Dark Net Forensic Framework and Tools Used for Digital Evidence Detection

As the development of technology increases and its use becomes increasingly more widespread, computer crimes grow. Hence, computer forensics research is becoming more crucial in developing good forensic frameworks and digital evidence detection tools to deter more cyber-attacks. In this paper, we explore the science of computer forensics, a dark web forensic framework, and digital evidence detection tools

Cloud Computing Security Services to Mitigate DDoS Attacks

This chapter focuses on the challenges and risks faced in cloud security services in the areas which include identity access management, web security, email security, network security, encryption, information security, intrusion management, and disaster management while implementing a cloud service infrastructure. This chapter endorses the best practices in successfully deploying a secure private cloud infrastructure with security measures and mitigation and proposed a unique three-tier infrastructure design to mitigate distributed denial of service attacks on cloud infrastructures

Cloud Adoption Decision-making Processes by Small Businesses: A Multiple Case Study

Cloud services have emerged as a compelling technology with immense benefits, but many companies still have concerns about cloud services adoption because of several failures that have occurred, including mistakes by service providers, exploitation of security flaws by hackers, and immature policies and procedures. The specific problem is how small businesses often lack the understanding of the ramifications of their respective decision-making processes to adopt cloud services. There is little understanding of the decision-making processes managers use in cloud services adoption. The purpose of this qualitative multiple case study was to explore the decision-making processes of 3 small businesses in information technology, legal, and healthcare industries and 3 cloud service providers with a total of 12 participants. The primary question explored the decision-making factors that contribute to the success of companies adopting cloud services. The conceptual framework was based on Mintzberg et al.’s strategic decision-making model, which consists of problem identification, solution development, and selection. Data for the study were collected through semi structured interviews and were analyzed using cross-case analysis. Five prominent themes that emerged were cost savings, cloud information security, competitive advantage, skills availability, and reliability. This research uncovered important factors in the decision-making process, including lack of training and a formal cloud adoption framework. This research may influence positive social change by deepening small businesses’ understanding of essential factors in the decision to successfully adopting cloud services