An efficient emerging network and secured hopping scheme employed over the unsecured public channels

Abstract

With the emergence of new smart technologies, including the Internet of Things, wireless media are playing an important role to connect numerous devices to fulfill the requirements of newly developed communication systems. The massive connectivity, therefore, made the wireless spectrum too crowded and gave several challenges to resisting against potential wireless jammers. Note that, the two main challenges that have always been a part of any communication system, especially in the case of wireless communication, are information security and information jamming. Carefully considering the given challenges, this study uses a new advanced anti-jamming approach, a modulation technique based on the frequency-hopping spread spectrum, which has notably high resistance accounted against various potential jammers. The objective of this study is two-fold. First, the physical channel properties are considered, and the random bits are transmitted, employing a cryptographic secured hoping-spread pattern, having a set of carrier frequencies, known at both sides of the transmission. Second, the hashing code is computed only for the key, and transmitted along the original hopset, but with distinct frequencies set. The deployed practical anti-jamming approach, therefore, computed a high efficiency to examine the information secrecy well and primarily the connection availability even in the presence of the jammers. Moreover, this study considered and modeled a communication system and evaluated the proposed system's performance, applying the theories of Shannon's entropy and Wyner's entropy (i.e. Wyner's wiretap channel), to anticipate the system's perfect secrecy, even in the worst case when jammer has unlimited computational capabilities.

Intuitive Development to Examine Collaborative IoT Supply Chain System Underlying Privacy and Security Levels and Perspective Powering through Proactive Blockchain

“…Therefore, collecting information from IoT objects is sensitive and important to keep secure, not to be leaked maliciously; ensuring the confidentiality of information is important for IoT. In literature [3,6,43,51], numerous solutions, especially cryptography algorithms as strong security solutions, are used to enhance various security challenges of IoT; cryptography encryption operations are significant to protect IoT sensitive information from adversaries. However, for IoT, a network composes a massive number of objects, it is difficult to protect the confidentiality of information from millions of objects, even with edge/fog connectivity, employing cryptography encryption algorithms [51,59].…”

“…For IoT-based warehouse inventory management and the supply chain system [ 41 , 42 ], the issues of privacy and security can be solved by employing cryptography and information hiding mechanisms [ 5 , 6 , 22 , 23 , 24 , 25 ]. For IoT, cryptography solutions [ 40 , 43 ], such as symmetric and asymmetric solutions, are the best solutions to provide and gain security or confidentiality in unsecured transmission. Both solutions used complex encryption and decryption operations, having different key pairs and sizes, to secure transmission against vulnerabilities and attacks [ 5 , 40 ].…”

“…Similarly, , this condition will be true if the contents of have not been changed during communications, case 5 and case 6, and verified by computing . In situations, when an adversary is strong enough to intercept the communication systems, targeting is to launch some integrity attacks , where represents the possible number of integrity attacks, such as man-in-the-middle attacks and packet injection, using some solutions or built-in tools [ 43 , 51 ]. Thus, the contents of are maybe modified if the adversary has enough computing power to compute the hash value equivalent to the original computed value as , or = .…”

“…In the case of an adversary , the IoT-SC controller can ensure the authenticity if the computed MAC value is not matched. However, in some cases, there is a probability that has not been sent from the originator , or the basis on the adversary computation power, and employing some intuitive attacks tools [ 43 , 51 ], an adversary pretends himself as the originator of , but indeed it is not an authorized node. Therefore, we can demonstrate potentials or any harmful effects of an adversary by examining the and , depending on the possible number of attacks , where represents the possible number of authentication attacks to the system.…”