Quantum Computing in Cybersecurity
Description
Quantum physics, however, safeguards against data eavesdropping. A significant amount of money is being invested in developing and testing a quantum version of the internet that will eliminate eavesdropping and make communication nearly impenetrable to cyber-attacks. The simultaneous activation of quantum terrorists (organized crime) can lead to significant danger by attackers introducing quantum information into the network, breaking the global quantum state, and preventing the system from returning to its starting state. Without signs of identifying information and real-time communication data, such vulnerabilities are very hard to discover. Terrorists' synchronized and coordinated acts have an impact on security by sparking a cyber assault in a fraction of a second.
The encryption is used by cyber-criminal groups with the genuine, nefarious, and terrible motives of killing innocent people or stealing money. In the hands of criminals and codes, cryptography is a dangerous and formidable weapon. Small amounts of digital information are hidden in a code string that translates into an image on the screen, making it impossible for the human eye to identify a coded picture from its uncoded equivalents. To steal the cryptographic key necessary to read people's credit card data or banking information, cyber thieves employ installed encryption techniques, human mistakes, keyboard loggers, and computer malware.
This new volume delves into the latest cutting-edge trends and the most up-to-date processes and applications for quantum computing to bolster cybersecurity. Whether for the veteran computer engineer working in the field, other computer scientists and professionals, or for the student, this is a one-stop-shop for quantum computing in cyber security and a must have for any library.
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Persons
Romil Rawat, PhD, is an assistant professor at Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore. With over 12 years of teaching experience, he has published numerous papers in scholarly journals and conferences. He has also published book chapters and is a board member on two scientific journals. He has received several research grants and has hosted research events, workshops, and training programs. He also has several patents to his credit.
Rajesh Kumar Chakrawarti, PhD, is a professor and the Dean of the Department of Computer Science & Engineering, Sushila Devi Bansal College, Bansal Group of Institutions, India. He has over 20 years of industry and academic experience and has published over 100 research papers and chapters in books.
Sanjaya Kumar Sarangi, PhD, is an adjunct professor and coordinator at Utkal University, Coordinator and Adjunct Professor, Utkal University, Bhubaneswar, India. He has over 23 years of academic experience and has authored textbooks, book chapters, and papers for journals and conferences. He has been a visiting doctoral fellow at the University of California, USA, and he has more than 30 patents to his credit.
Jaideep Patel, PhD, is a professor in the Computer Science and Engineering Department at the Sagar Institute of Research and Technology, Bhopal, India. He holds five patents, and has published two books and one book chapter.
Vivek Bhardwaj, PhD, is an assistant professor at Manipal University Jaipur, Jaipur, India. He has over eight years of teaching and research experience, has filed five patents, and has published many articles in scientific journals and conferences.
Anjali Rawat is a consultant for Apostelle Overseas Education, and she has over five years of consulting, teaching, and research experience. She has chaired international conferences and hosted several research events, and she holds several patents and has published research articles.
Hitesh Rawat is a faculty member in the Management Department at the Sri Aurobindo Institute of Technology and Management, Indore, India. He has over six years of consulting, teaching, and research experience and has also chaired international conferences and hosted several research events.
Content
Preface xix
1 Cyber Quantum Computing (Security) Using Rectified Probabilistic Packet Mark for Big Data 1
Anil V. Turukmane and Ganesh Khekare
1.1 Introduction 2
1.2 Denial-of-Service Attacks 3
1.3 Related Work 5
1.4 Proposed Methodology 8
1.5 Trace Back Mechanism for Rectified Probabilistic Packet Marking 10
1.6 Conclusion 13
2 Secure Distinctive Data Transmission in Fog System Using Quantum Cryptography 17
Ambika N.
2.1 Introduction 18
2.2 Properties of Quantum Computing 19
2.3 Applications of Quantum Computing 22
2.4 Background 24
2.5 Literature Survey 25
2.6 Proposed Work 26
2.7 Analysis of the Study 27
2.8 Conclusion 29
3 DDoS Attack and Defense Mechanism in a Server 33
Pranav Bhatnagar, Shreya Pai and Minhaj Khan
3.1 Introduction 34
3.2 DoS Attack 37
3.3 DDoS Attack 39
3.4 DDoS Mitigation 51
3.5 Conclusion 54
4 Dark Web Content Classification Using Quantum Encoding 57
Ashwini Dalvi, Soham Bhoir, Faruk Kazi and S. G. Bhirud
4.1 Introduction 58
4.2 Related Work 61
4.3 Proposed Approach 65
4.4 Result and Discussion 70
4.5 Conclusion 76
5 Secure E-Voting Scheme Using Blockchain 81
Shrimoyee Banerjee and Umesh Bodkhe
5.1 Introduction 82
5.2 Literature Survey 87
5.3 Implementation and Methodology 89
5.4 Result Analysis & Output 100
5.5 Conclusion and Future Directions 102
6 An Overview of Quantum Computing--Based Hidden Markov Models 105
B. Abhishek, Sathian D., Amit Kumar Tyagi and Deepshikha Agarwal
6.1 Introduction 105
6.2 Elaboration of Hidden Quantum Markov Model 107
6.3 Example of HQMMs (Isolated Word Recognition in Action) 115
6.4 Matching of State Observation Density 117
6.5 Conclusion and Results 118
7 Artificial Intelligence and Qubit--Based Operating Systems: Current Progress and Future Perspectives 121
Tejashwa Agarwal and Amit Kumar Tyagi
7.1 Introduction to OS, AI and ML 122
7.2 Learning Configurations 123
7.3 Building ML Models 124
7.4 Work Done in Improving Process Scheduling 124
7.5 Artificial Intelligence in Distributed Operating Systems 128
7.6 Current Progress 129
7.7 Quantum Artificial Intelligence 133
7.8 Conclusion 135
8 Techno-Nationalism and Techno-Globalization: A Perspective from the National Security Act 137
Hepi Suthar, Hitesh Rawat, Gayathri M. and K. Chidambarathanu
8.1 Introduction 138
8.2 Conclusion 161
9 Quantum Computing Based on Cybersecurity 165
P. William, Vivek Parganiha and D.B. Pardeshi
9.1 Introduction 166
9.2 Preliminaries 166
9.3 Threat Landscape 168
9.4 Defensive Measurements, Countermeasures, and Best Practises 170
9.5 Conclusion 171
10 Quantum Cryptography for the Future Internet and the Security Analysis 175
P. William, A.B. Pawar and M.A. Jawale
10.1 Introduction 175
10.2 Related Works 177
10.3 Preliminaries 178
10.4 Quantum Cryptography for Future Internet 180
10.5 Conclusion 185
11 Security Aspects of Quantum Cryptography 189
P. William, Siddhartha Choubey and Abha Choubey
11.1 Introduction 189
11.2 Literature Survey 190
11.3 Quantum Key Distribution 192
11.4 Cryptography 193
11.5 Quantum Cryptography with Faint Laser Pulses 195
11.6 Eavesdropping 196
11.7 Conclusion 198
12 Security Aspects of Quantum Machine Learning: Opportunities, Threats and Defenses 201
P. William, Vivek Parganiha and D.B. Pardeshi
12.1 Introduction 201
12.2 Quantum Computing Basics 202
12.3 Security Applications 206
12.4 Quantum Machine Learning 210
12.5 Conclusion 213
13 Cyber Forensics and Cybersecurity: Threat Analysis, Research Statement and Opportunities for the Future 217
Nirav Bhatt and Amit Kumar Tyagi
13.1 Introduction 218
13.2 Background 219
13.3 Scope of this Work 220
13.4 Methodology and Analysis of Simulation Results 222
13.5 Quantum-Based Cybersecurity and Forensics 228
13.6 Conclusion and Future Works 230
14 Quantum Computing: A Software Engineering Approach 233
Mradul Agrawal, Aviral Jain, Rudraksh Thorat and Shivam Sharma
14.1 Introduction 234
14.2 Background of Research Area 235
14.3 Why Cryptography? 235
14.4 Classical Cryptography 238
14.5 Quantum Cryptography (QCr) 239
14.6 Quantum Key Distribution 240
14.7 Cryptanalysis 242
14.8 Entanglement 242
14.9 Quantum Teleportation 243
14.10 Applications of QCr in Cybersecurity 243
14.11 Quantum Key Distribution Protocols Implementation 244
14.12 Research and Work 244
14.13 Challenges Faced by QC 245
14.14 Limitations 245
14.15 Conclusion 246
15 Quantum Computing to the Advantage of Neural Network 249
Aditya Maltare, Ishita Jain, Keshav Agrawal and Tanya Rawat
15.1 Introduction 250
15.2 Significance of Quantum Computers in Machine Learning 251
15.3 Related Work 252
15.4 Proposed Methodology 255
15.5 Result and Analysis 258
15.6 Conclusion 258
16 Image Filtering Based on VQA with Quantum Security 263
Avni Burman, Bhushan Bawaskar, Harsh Dindorkar and Hrithik Surjan
16.1 Introduction 263
16.2 Related Work 267
16.3 Problem Statement 269
16.4 Working 269
16.5 Proposed Methodology Solution 270
16.6 Result Analysis 272
16.7 Conclusion 272
17 Quantum Computing Techniques Assessment and Representation 275
Dewansh Khandelwal, Nimish Vyas, Priyanshi Skaktawat, Vaidehi Anwekar, Om Kumar C.U. and D. Jeyakumar
17.1 Introduction 276
17.2 Fundamentals of QC 278
17.3 Properties of QC 278
17.4 Topography of QC 280
17.5 The Architecture of QC 281
17.6 Quantum Algorithm 283
17.7 Design Limitations of Quantum Computer 284
17.8 Different Categories of Quantum Computer 286
17.9 Advantages of QC 287
17.10 Disadvantages of QC 287
17.11 Applications of QC 288
17.12 Major Challenges in QC 290
17.13 Conclusion 291
18 Quantum Computing Technological Design Along with Its Dark Side 295
Divyam Pithawa, Sarthak Nahar, Vivek Bhardwaj, Romil Rawat, Ruchi Dronawat and Anjali Rawat
18.1 Introduction 296
18.2 Related Work 297
18.3 History and Evolution of QCOM 298
18.4 Components & Concepts that Make QCOM Possible 300
18.5 Plans for the Future Development of Quantum Computer 302
18.6 Dark Side of QCOM 306
18.7 Plans for Protection in Quantum Era 309
18.8 Conclusion 310
19 Quantum Technology for Military Applications 313
Sarthak Nahar, Divyam Pithawa, Vivek Bhardwaj, Romil Rawat, Anjali Rawat and Kiran Pachlasiya
19.1 Introduction 314
19.2 Related Work 317
19.3 Overview of QTECH 318
19.4 QTECH in Defence 325
19.5 Military Applications of QTECH 327
19.6 Challenges and Consequences of Quantum Warfare 331
19.7 Conclusion 332
20 Potential Threats and Ethical Risks of Quantum Computing 335
Apurva Namdev, Darshan Patni, Balwinder Kaur Dhaliwal, Sunil Parihar, Shrikant Telang and Anjali Rawat
20.1 Introduction 335
20.2 Research Design & Methodology 339
20.3 Brief In-Depth Overview of Possible Vulnerabilities 341
20.4 New Risks to be Created 349
20.5 Futuristic Picture of Quantum Ethics 350
20.6 Conclusion 352
21 Is Quantum Computing a Cybersecurity Threat? 353
Akshat Maheshwari, Manan Jain, Vindhya Tiwari, Mandakini Ingle and Ashish Chourey
21.1 Introduction 354
21.2 How QCom Threatens Cybersecurity 360
21.3 How QCom could Improve Cybersecurity 361
21.4 Quantum Cryptography and Its Applications 362
21.5 Proposed Methodology 363
21.6 Background/Objective 366
21.7 Conclusion 366 References 367
22 Quantum Computing in Data Security: A Critical Assessment 369
Sadullah Khan, Chintan Jain, Sudhir Rathi, Prakash Kumar Maravi, Arun Jhapate and Divyani Joshi
22.1 Introduction 370
22.2 Present Cryptographic Algorithms and Systems 371
22.3 Comparing Traditional Computing and Quantum Computing 373
22.4 Post--Quantum Cryptography (PQC) 377
22.5 Quantum Cryptography and Its Applications 378
22.6 Corporate Competitions Towards Quantum Computing 383
22.7 Threats Posed to Critical Infrastructure and Mechanisms 384
22.8 Conclusion 388
23 Quantum Computing and Security Aspects of Attention-Based Visual Question Answering with Long Short-Term Memory 395
Madhav Shrivastava, Rajat Patil, Vivek Bhardwaj, Romil Rawat, Shrikant Telang and Anjali Rawat
23.1 Introduction 396
23.2 Literature Review 399
23.3 Problem Statement 401
23.4 Problem Elaboration 401
23.5 Proposed Methodology 402
23.6 Methods 404
23.7 Solution Approach 407
23.8 Expected Results 407
23.9 Conclusion 409
23.10 Abbreviations 410
24 Quantum Cryptography -- A Security Architecture 413
Sunandani Sharma, Sneha Agrawal, Sneha Baldeva, Diya Dabhade, Parikshit Bais and Ankita Singh
24.1 Introduction 413
24.2 Related Work 414
24.3 Properties of Quantum Information 415
24.4 Methodology 416
24.5 Supported Explanation 418
24.6 Conclusion 422
25 Quantum Computing Anomalies in Communication 425
Anushka Ayachit, Jahanvee Sharma, Bhupendra Panchal, Sunil Patil, Safdar Sardar Khan and Rijvan Beg
25.1 Introduction 425
25.2 Significance of Quantum Computing 427
25.3 The Dark Side of Quantum Computing 433
25.4 Previous Works 436
25.5 Conclusion 437
26 Intrusion Detection System via Classical SVM and Quantum SVM: A Comparative Overview 441
Ananya Upadhyay, Ruchir Namjoshi, Riya Jain, Jaideep Patel and Gayathri M.
26.1 Introduction 442
26.2 Related Work 443
26.3 Models for IDS 443
26.4 Conclusion 449
27 Quantum Computing in Military Applications and Operations 453
Aman Khubani, Anadi Sharma, Axith Choudhary, Om Shankar Bhatnagar and K. Chidambarathanu
27.1 Introduction 454
27.2 Literary Survey 455
27.3 Definition 456
27.4 Quantum Military Applications 462
27.5 Applications of QCRYP 465
27.6 Limitations 468
27.7 Conclusion 468
28 Quantum Cryptography Techniques: Evaluation 471
Shashank Sharma, T.M. Thiyagu, Om Kumar C.U. and D. Jeyakumar
28.1 Introduction 472
28.2 Quantum Technology (QTech) in Defence 473
28.3 The QKD Model 476
28.4 Related Work 478
28.5 Preliminaries 479
28.6 QKD Protocols Implementation 482
28.7 Risk Analysis 483
28.8 Applications of Quantum Cryptography 484
28.9 Challenges of Quantum Cryptography 485
28.10 Conclusion and Future Work 486
29 Cyber Crime Attack Vulnerability Review for Quantum Computing 489
Vaishnavi Gawde, Vanshika Goswami, Balwinder Kaur Dhaliwal, Sunil Parihar, Rupali Chaure and Mandakini Ingle
29.1 Introduction 490
29.2 Significance of Cyber Crime Attack for QC 492
29.3 Related Work 493
29.4 Proposed Methodology 494
29.5 Conclusion 500
References 501
About the Editors 505
Index 507
1
Cyber Quantum Computing (Security) Using Rectified Probabilistic Packet Mark for Big Data
Anil V. Turukmane* and Ganesh Khekare
Department of Computer Science Engineering, Parul University, Vadodar, Gujarat, India
Abstract
In recent years, denial-of-service (DoS) assaults have been a system flaw. DoS disobedience testing has become one of the most important streams in system Quantum Computing Security). This dynamic field of investigation has yielded astounding frameworks such as pushback message, ICMP take after back, and following package improvement methods. In tributary regarded informatics, the probabilistic packet marking (PPM) standard drew in considerable thinking. To begin with, the alluring purpose of this informatics follow-up approach is that it permits alterations to etch bound data on ambush packages that support chosen likelihood. After gathering a sufficient number of examined packages, the loss (or information plan centre) will construct a set of systems that offence groups crossed and, as a result, the setback will be assigned zones. The goal of the PPM algorithmic project is to demonstrate that produced outline is the same as offence graph, where relate degree attack outline is that course of action of techniques ambush packs investigated and created outline could be diagrammed by PPM algorithmic framework. The main goal of the structure is to provide a powerful approach to cope with tracking down an assailant's back IP address through a media like the internet. The system will stamp every shipment that is to be traded over the internet as indicated by the group's substance and deliver it via trade media. When it reaches its final destination, the stamping of any package is altered, and the structure is ready to be taken. The majority of PPM concerns have entailed a few issues such as loss of stamping information, issues recreating ambush routes, and low precision than on. In the first paper, we propose a dynamic probabilistic packet marking (DPPM) approach as a replacement for another upgrade reasonability of PPM. On the other hand, if you're utilising mounted checking likelihood, we propose gauging regardless of whether the package has been stamped or not, and then selecting the appropriate checking likelihood. Most of the problems with the PPM approach could be solved using DPPM. A formal examination reveals that DPPM outperforms PPM in a variety of ways. The proposed solution is useful in domains where it is important to keep track of back IP addresses while changing the package, such as cybercrime and the illegal treatment of data groups where certain basic information must be transferred. Propose a P Packet M basic end condition, which is commonly omitted or not explicitly stated in writing. Due to the new end condition, the client of a new control has more freedom to inspect the precision of the chart that has been created.
Keywords: Quantum Computing (Security), Quantum Cryptography and Quantum Computing (Security), control mechanism, cyber crime, quantum attacks
1.1 Introduction
Over the last two decades, the world has seen significant advances in science and innovation that have successfully met a wide spectrum of human needs. These requests range from basic necessities like power bills and rail ticket reservations to more complex ones like force matrices for the era of violence and sharing. These advancements have raised the standard of human existence in terms of modernity and simplicity. Unexpectedly, a competing invention for negotiating Quantum Computing (Security) has evolved, with its own set of repercussions, hindering innovation. Robbery, hacking, and the blackout of private information are examples of information-related attacks. Anonymous subterranean attack networks that can efficiently assault a specific target every time are likely to be available, according to the media and many types of network Quantum Computing (Security) literature. This merely depicts a possible transition from today's attack to future attacks. Everything is on the table in the present world, from "damage and devastation" wars to "information warfare," to the negotiation of the aforementioned attack. Finally, attackers/networks that can hide are usually the ones who carry out these attacks.
The scope of attacks on targets is as extensive as that of constructional technology, but this thesis focuses on a specific sort of attack known as denial-of-service (DoS) attacks. DoS assaults are a form of targeted attack whose purpose is to deplete the target's resources and, as a result, prohibit large customers from obtaining service. For quite some time, great focus has been placed on the Quantum Computing (Security) of network infrastructure, which has continued to be used for a variety of transactions. The internet Quantum Computing (Security) business, academia, and even the United States Conference, which has organized multiple conferences on the subject, have all taken notice [1, 2]. Various safety strategies have been proposed, each attempting to address a different set of issues. The anonymous attack is the specific risk that this research focuses on. Because the Source Address (SA) information is spooled in the attack packages, the identity of the attacker(s) is not immediately visible to the individual in anonymous attacks.
1.2 Denial-of-Service Attacks
The focus of this thesis is on service denial (DoS) attacks on PC networks. The goal of these attacks is to deny legitimate users access to network services. This PhD includes a comprehensive look at many attack and defence mechanisms, as well as unique defensive mechanisms and new information on defensive mechanism selection and evaluation. DoS mitigation is an important part of network and computer Quantum Computing (Security). Network and computer Quantum Computing (Security) are frequently discussed in scientific domains. Computer Quantum Computing (Security) language is still imbalanced, which is a big issue [10, 11]. Computer and network Quantum Computing (Security) were originally prioritised in the mid-1970s, and some of the most meticulous Quantum Computing (Security) documentation was published in [12]. Denial-of-service attacks come in a variety of forms, and the number of them is expanding all the time as new procedures and data networks are developed. These attacks should be divided into two categories: physical and virtual, with the purpose of better comprehending the most common denial-of-service (DoS) attempts (or network-based). There are two other types of attacks that fall within this category, each of which represents the attack's overall goal: disabling critical services and draining system resources [13].
An Overview of Denial-of-Service Attacks
System disruption (DoS) attacks have been shown to be a significant and long-term threat to users, businesses, and internet infrastructure [16-20]. Blocking access to a specific object, such as a web application, is one of the key targets of these assaults. There have been numerous DoS guards proposed in the literature, but none of them can be trusted with any degree of certainty. Vulnerable hosts on the internet, as well as attack traffic sources, are virtually certain to be exploited. It's just not possible to keep every host on the internet secure at all times. (In July 2005 it was assessed that there were roughly 350,000 hosts on the internet.) Furthermore, detecting and channelling legitimate traffic attacks without causing legal traffic injury to collateral is quite difficult.
A DoS attack can be carried out in one of two ways: as a flood or as a logical attack. A flood DoS attack is based on brute force. A victim is given as much information as possible, even if it is unneeded. This squandering of network bandwidth fills space with unnecessary data (e.g., spam mail, garbage files, and deliberate error messages), loads flawed data onto fixed-size data structures inside host software, and necessitates a significant amount of data management effort. To increase the impact of DoS attacks, they might continue to be planned from multiple sources (Distributed DoS, DDoS).
1.2.1 DoS Attacks in Real Life
Actual internet DoS instances were investigated throughout the popular era of 1989 to 1995. The three most common consequences were as follows: in 51% of the cases, there was a circle, and in 33% of the cases, there was a network decline of 33%, and in 26% of the cases, certain vital data was deleted. A single occasion can result in a variety of problems (the whole of rates is more than 100%). A college was the target of the first big DDoS attack in August 1999. This attack disabled the target's network for two days. On February 7, 2000, a few key web-based locations were attacked, and they were cut off from the internet for many hours. These DDoS attacks may occasionally cause a single victim's assault movement of around 1 Gbit/s.
The quantity, duration, and location of distributed denial-of-service (DDoS) attacks on the internet were tracked using scatter monitoring. Backscatter is defined as the victim's spontaneous reflex movement in response to the assault package, which is sent with fake IP addresses. In the three weeks of investigation in February 2001, over 12,000 attacks were registered against over 5,000 distinct victims. Packet fragmentation was studied in real networks. Bugs in fragmented management software are exploited in various logic DoS assaults, and the results of this emphasis still suggest the presence of such DoS on the web.
According to the...
