Cyber Security and Network Security

Chapter 10has explored the modern Information Technology environment necessitates increasing the value for money while ignoring the potency of the gathered components. The rising demand for storage, networking, and accounting has fueled the growth of massive, complex data centers, as well as the big server businesses that manage several current internet operations, as well as economic, trading, and corporate operations. A data centre can hold thousands of servers and consume the same amount of electricity as a small city. The massive amount of calculating power required to run such server systems controls a variety of conflicts, including energy consumption, greenhouse gas emissions, substitutes, and restarting affairs, among others. This is virtualization, which refers to a group of technologies that cover a wide range of applications and hobbies. This can be applied to the sectors of hardware and software, as well as innovations on the outskirts of virtualization’s emergence. This study demonstrates how we proposed using virtualization technologies to gradually transform a traditional data centre structure into a green data centre. This study looks into the reasons for the price profits of supporting virtualization technology, which is recommended by practically every major company in the market. This is a technology that can drastically reduce capital costs in our environment while also almost committing to low operating costs for the next three years while pursuing the finance. We’ll talk about value in terms of cost and space, with space equating to future cost.

The security of big data is being studied, as well as how to keep the performance of the data while it is being transmitted over the network. There have been various studies that have looked into the topic of big data. Furthermore, many of those studies claimed to provide data security but failed to maintain performance. Several encryption techniques, including RSA and AES, have been utilized in past studies. However, if these encryption technologies are used, the network system’s performance suffers. To address these concerns, the proposed approach employs compression mechanisms to minimize the file size before performing encryption. Furthermore, data is spit to increase the reliability of transmission. Data has been transferred from multiple routes after the data was separated.

If any hackers choose to collect that data in an unauthentic method, they will not be able to obtain complete and meaningful data. By combining compression and splitting mechanisms with big data encryption, the suggested model has improved the security of big data in a network environment. Furthermore, using a user-defined port and various pathways during the split transmission of large data improves the dependability and security of big data over the network projects in Chapter 11.

We express our great pleasure, sincere thanks, and gratitude to the people who significantly helped, contributed and supported to the completion of this book. Our sincere thanks to Fr. Benny Thomas, Professor, Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, Karnataka India, and Dr. Arup Kumar Pal, Assistant Professor, Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines) Dhanbad, Jharkhand India for their continuous support, advice and cordial guidance from the beginning to the completion of this book.

We would also like to express our honest appreciation to our colleagues at the Haldia Institute of Technology Haldia, West Bengal, India, and CHRIST (Deemed to be University), Bengaluru, Karnataka India, for their guidance and support.

We also thank all the authors who have contributed some chapters to this book. This book would not have been possible without their contribution.

We are also very thankful to the reviewers for reviewing the book chapters. This book would not have been possible without their continuous support and commitment towards completing the chapters’ review on time.

To all of the team members at Scrivener Publishing, who extended their kind cooperation, timely response, expert comments, and guidance, we are very thankful to them.

Finally, we sincerely express our special and heartfelt respect, gratitude, and gratefulness to our family members and parents for their endless support and blessings.

Sabyasachi Pramanik

Department of Computer Science and Engineering, Haldia Institute of Technology, Haldia, West Bengal, India

sabyalnt@gmail.com

Debabrata Samanta

Department of Computer Science, CHRIST (Deemed to be University) Bengaluru, Karnataka

debabrata.samanta369@gmail.com

M. Vinay

Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India

vinay.m@christuniversity.in

Abhijit Guha

First American India Private Limited, Bangalore, India

aguha@firstam.com

Subhradip Debnath*, Aniket Das and Budhaditya Sarkar

Department of Computer Science, Institute of Engineering and Management, Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal, India

In today’s world that is mostly through applications interacting over the internet, data security both inside and outside the client devices is a very critical topic. MSME sector and the new enterprises coming up are mostly shifting to the cloud space for grabbing up the opportunities of the virtual market that are coming up and shifting their work culture to the online space. Thus, the enterprise communication that was mainly happening in offline methods, behind closed doors, and locked storage rooms with files has now shifted to a more public space, files being routed through the public internet to public facing servers. Resulting in a whole new domain of security and compliance problems as many of the servers for Public/Hybrid Cloud models fall under a joint ownership between two or more parties/stakeholders. Thus, securing the data in transit, i.e., coming in and out of the cloud, and the data in rest, i.e., the data lying inside the cloud, needs to be encrypted such that no third party can access it without the consent of its owner. In this proposed research model, it is proposed that data from a client application as in an enterprise communication application are encrypted using modified algorithms which would be accessible securely through a series of access control functionalities with least privilege access policies. The data is further packed up and are transported over the SSL layers to an server side application instance running in a public cloud (here)/private cloud which shall decrypt the information coming through and sorts the data accordingly and further saves them into the object-based storages, NoSQL, and Ledger databases with high availability and security at rest. The data at rest is further encrypted, can be packed up, and sent back to the client application when requested with necessary encryption in transit criteria fulfilled. The transactions are carried out using role-based assigning systems and least access privilege access mode, thus successfully stopping the concepts of threats to privacy, data eavesdropping, threat to personal security, etc.

Keywords:Enterprise, architecture, secure, application, data, cloud, encryption, threats

Human life is driven by data. In this century, every business decision that is undertaken is based on derivations of data collected over the years. Data warehouses and databases are overflowing with ever growing data, but the main concern at this point of time is the security of both data in transit, i.e., being sent over the public internet and the security of the data at rest. Security of the data does not only mean about its confidentiality but also its availability and integrity.