Evaluation of Cloud-Based Cyber Security System

Cloud-based cyber security systems leverage the power of cloud computing to protect digital assets from cyber threats. By utilizing remote servers and advanced algorithms, these systems provide real-time monitoring, threat detection, and incident response. They offer scalable solutions, enabling businesses to adapt to evolving threats and handle increasing data volumes. Cloud-based security systems provide benefits such as reduced infrastructure costs, continuous updates and patches, centralized management, and global threat intelligence. They protect against various attacks, including malware, phishing, DDoS, and unauthorized access. With their flexibility, reliability, and ease of deployment, cloud-based cyber security systems are becoming essential for organizations seeking robust protection in today's interconnected digital landscape. The research significance of cloud-based cyber security systems lies in their ability to address the growing complexity and scale of cyber threats in today's digital landscape. By leveraging cloud computing, these systems offer several key advantages for researchers and organizations: Scalability: Cloud-based systems can scale resources on-demand, allowing researchers to handle large volumes of data and analyze complex threat patterns effectively. Cost-efficiency: The cloud eliminates the need for extensive on-premises infrastructure, reducing costs associated with hardware, maintenance, and upgrades. Researchers can allocate resources based on their needs, optimizing cost-effectiveness. Real-time monitoring and threat detection: Cloud-based systems provide real-time monitoring of network traffic, enabling quick identification of suspicious activities and potential threats. Researchers can leverage advanced analytics and machine learning algorithms to enhance threat detection capabilities. Collaboration and knowledge sharing: Cloud platforms facilitate collaboration among researchers and organizations by enabling the sharing of threat intelligence, best practices, and research findings. Compliance and regulatory requirements: Cloud platforms often offer built-in compliance features and tools to meet regulatory requirements, assisting researchers in adhering to data protection and privacy standards. Overall, the research significance of cloud-based cyber security systems lies in their ability to provide scalable, cost-effective, and advanced security capabilities, empowering researchers to mitigate evolving cyber threats and protect sensitive data and systems effectively. We will be using Weighted Product Methodology (WPM) which is a decision-making technique that assigns weights to various criteria and ranks alternatives based on their weighted scores. It involves multiplying the ratings of each criterion by their corresponding weights and summing them up to determine the overall score. This method helps prioritize options and make informed decisions in complex situations. Taken of Operational, Technological, Organizational Recorded Electronic Delivery, Recorded Electronic Deliver, Blockchain technology, Database security, Software updates, Antivirus and antimalware The Organizational cyber security measures comes in last place, while Technological cyber security measures is ranked top and Operational measures comes in between the above two in second place. In conclusion, a cloud-based cyber security system revolutionizes the way organizations safeguard their digital assets. By utilizing remote servers, advanced algorithms, and real-time monitoring, it offers scalable and robust protection against evolving threats. With features like threat detection, data encryption, and centralized management, it ensures enhanced security, agility, and efficiency. Embracing a cloud-based approach empowers organizations to stay ahead in the ever-changing landscape of cyber security, effectively safeguarding their critical data and infrastructure

Understanding Security Threats in Cloud

As cloud computing has become a trend in the computing world, understanding its security concerns becomes essential for improving service quality and expanding business scale. This dissertation studies the security issues in a public cloud from three aspects. First, we investigate a new threat called power attack in the cloud. Second, we perform a systematical measurement on the public cloud to understand how cloud vendors react to existing security threats. Finally, we propose a novel technique to perform data reduction on audit data to improve system capacity, and hence helping to enhance security in cloud. In the power attack, we exploit various attack vectors in platform as a service (PaaS), infrastructure as a service (IaaS), and software as a service (SaaS) cloud environments. to demonstrate the feasibility of launching a power attack, we conduct series of testbed based experiments and data-center-level simulations. Moreover, we give a detailed analysis on how different power management methods could affect a power attack and how to mitigate such an attack. Our experimental results and analysis show that power attacks will pose a serious threat to modern data centers and should be taken into account while deploying new high-density servers and power management techniques. In the measurement study, we mainly investigate how cloud vendors have reacted to the co-residence threat inside the cloud, in terms of Virtual Machine (VM) placement, network management, and Virtual Private Cloud (VPC). Specifically, through intensive measurement probing, we first profile the dynamic environment of cloud instances inside the cloud. Then using real experiments, we quantify the impacts of VM placement and network management upon co-residence, respectively. Moreover, we explore VPC, which is a defensive service of Amazon EC2 for security enhancement, from the routing perspective. Advanced Persistent Threat (APT) is a serious cyber-threat, cloud vendors are seeking solutions to ``connect the suspicious dots\u27\u27 across multiple activities. This requires ubiquitous system auditing for long period of time, which in turn causes overwhelmingly large amount of system audit logs. We propose a new approach that exploits the dependency among system events to reduce the number of log entries while still supporting high quality forensics analysis. In particular, we first propose an aggregation algorithm that preserves the event dependency in data reduction to ensure high quality of forensic analysis. Then we propose an aggressive reduction algorithm and exploit domain knowledge for further data reduction. We conduct a comprehensive evaluation on real world auditing systems using more than one-month log traces to validate the efficacy of our approach

Enhancing Cloud Security by a Series of Mobile Applications That Provide Timely and Process Level Intervention of Real-Time Attacks

Cyber threat indicators that can be instantly shared in real-time may often be the only mitigating factor between preventing and succumbing to a cyber-attack. Detecting threats in cloud computing environment can be even more of a challenge given the dynamic and complex nature of hosts as well as the services running. Information security professionals have long relied on automated tools such as intrusion detection/prevention systems, SIEM (security information and event management), and vulnerability scanners to report system, application and architectural weaknesses. Although these mechanisms are widely accepted and considered effective at helping organizations stay more secure, each can also have unique limitations that can hinder in this regard. Therefore, in addition to utilizing these resources, a more proactive approach must be incorporated to bring to light possible attack vectors and hidden places where hackers may infiltrate. This paper shares an insightful example of such lessor known attack vectors by closely examining a host routing table cache, which unveiled a great deal of information that went unrecognized by an intrusion detection system. Furthermore, the author researched and developed a robust mobile app tool that has a multitude of functions which can provide the information security community with a low-cost countermeasure that can be used in a variety of infrastructures (e.g. cloud, host-based etc.). The designed mobile app also illustrates how system administrators and other IT leaders can be alerted of brute force attacks and other rogue processes by quickly identifying and blocking the attacking IP addresses. Furthermore, it is an Android based application that also uses logs created by the Fail2Ban intrusion prevention framework for Linux. Additionally, the paper will also familiarize readers with indirect detection techniques, ways to tune and protect the routing cache, the impact of low and slow hacking techniques, as well as the need for mobile app management in a cloud

Assessing database and network threats in traditional and cloud computing

Cloud Computing is currently one of the most widely-spoken terms in IT. While it offers a range of technological and financial benefits, its wide acceptance by organizations is not yet wide spread. Security concerns are a main reason for this and this paper studies the data and network threats posed in both traditional and cloud paradigms in an effort to assert in which areas cloud computing addresses security issues and where it does introduce new ones. This evaluation is based on Microsoft’s STRIDE threat model and discusses the stakeholders, the impact and recommendations for tackling each threat

Multipath Routing of Fragmented Data Transfer in a Smart Grid Environment

The purpose of this paper is to do a general survey on the existing communication modes inside a smart grid, the existing security loopholes and their countermeasures. Then we suggest a detailed countermeasure, building upon the Jigsaw based secure data transfer [8] for enhanced security of the data flow inside the communication system of a smart grid. The paper has been written without the consideration of any factor of inoperability between the various security techniques inside a smart gridComment: 5 pages, 2 figure