A Survey on the Security and the Evolution of Osmotic and Catalytic Computing for 5G Networks

The 5G networks have the capability to provide high compatibility for the new applications, industries, and business models. These networks can tremendously improve the quality of life by enabling various use cases that require high data-rate, low latency, and continuous connectivity for applications pertaining to eHealth, automatic vehicles, smart cities, smart grid, and the Internet of Things (IoT). However, these applications need secure servicing as well as resource policing for effective network formations. There have been a lot of studies, which emphasized the security aspects of 5G networks while focusing only on the adaptability features of these networks. However, there is a gap in the literature which particularly needs to follow recent computing paradigms as alternative mechanisms for the enhancement of security. To cover this, a detailed description of the security for the 5G networks is presented in this article along with the discussions on the evolution of osmotic and catalytic computing-based security modules. The taxonomy on the basis of security requirements is presented, which also includes the comparison of the existing state-of-the-art solutions. This article also provides a security model, "CATMOSIS", which idealizes the incorporation of security features on the basis of catalytic and osmotic computing in the 5G networks. Finally, various security challenges and open issues are discussed to emphasize the works to follow in this direction of research.Comment: 34 pages, 7 tables, 7 figures, Published In 5G Enabled Secure Wireless Networks, pp. 69-102. Springer, Cham, 201

Smart devices security enhancement via power supply monitoring

The continuous growth of the number of Internet of Things (IoT) devices and their inclusion to public and private infrastructures has introduced new applciations to the market and our day-to-day life. At the same time, these devices create a potential threat to personal and public security. This may be easily understood either due to the sensitivity of the collected data, or by our dependability to the devices' operation. Considering that most IoT devices are of low cost and are used for various tasks, such as monitoring people or controlling indoor environmental conditions, the security factor should be enhanced. This paper presents the exploitation of side-channel attack technique for protecting low-cost smart devices in an intuitive way. The work aims to extend the dataset provided to an Intrusion Detection Systems (IDS) in order to achieve a higher accuracy in anomaly detection. Thus, along with typical data provided to an IDS, such as network traffic, transmitted packets, CPU usage, etc., it is proposed to include information regarding the device's physical state and behaviour such as its power consumption, the supply current, the emitted heat, etc. Awareness of the typical operation of a smart device in terms of operation and functionality may prove valuable, since any deviation may warn of an operational or functional anomaly. In this paper, the deviation (either increase or decrease) of the supply current is exploited for this reason. This work aimed to affect the intrusion detection process of IoT and proposes for consideration new inputs of interest with a collateral interest of study. In parallel, malfunction of the device is also detected, extending this work's application to issues of reliability and maintainability. The results present 100% attack detection and this is the first time that a low-cost security solution suitable for every type of target devices is presented. © 2020 by the authors

Monitoring supply current thresholds for smart device's security enhancement

The rapid growth of connected devices and the sensitive data they generate poses a significant challenge for manufacturers seeking to comprehensively protect their devices from attack. This paper presents a study and its results from the correlation of the supply current of a smart device to its functional characteristics in order to detect a manufacturing or an operational anomaly. This concept was originated from the fact that most of the available smart devices in the market (connected to the Internet, establishing thus the so-called Internet of Things - IoT), are Application Specific devices thus having limited functionality. Issues on IoT applications, urging for solutions, are security, availability, and reliability. Awareness of the typical operation of a smart device in terms of operation and functionality may prove valuable, since any deviation may warn for an operational or functional anomaly. In this paper, the deviation (either increase or decrease) of the supply current is exploited for this reason. This work aims to affect the intrusion detection process for IoT and proposes for consideration new inputs of interest with a collateral interest of study. The results present 100% of attack detection. © 2019 IEEE

CIPHER BLOCK BASED AUTHENTICATION MODULE: A HARDWARE DESIGN PERSPECTIVE

Message Authentication Codes (MACs) are widely used in order to authenticate data packets, which are transmitted thought networks. Typically MACs are implemented using modules like hash functions and in conjunction with encryption algorithms (like Block Ciphers), which are used to encrypt the transmitted data. However NIST in May 2005 issued a standard, addressing certain applications and their needs, defining a way to implement MACs through FIPS-approved and secure block cipher algorithms. In this paper the best performing implementation of the CMAC standard is presented, in terms of throughput, along with an efficient AES design and implementation

Application of novel technique in RIPEMD-160 aiming at high-throughput

IEEE International Symposium on Industrial Electronics, 2008, Pages 1937-1940Hash functions, form a special family of cryptographic algorithms that satisfy current requirements for security, confidentiality and validity for several applications in technology. Many applications like PKI, IPSec, DSA, MAC's need the requirements mentioned before. All the previous applications incorporate hash functions and address, as the time passes, to more and more users-clients and thus the increase of their throughput is quite necessary. In this paper we propose an implementation that increases throughput and frequency significantly and at the same time keeps the area small enough for the hash function RIPEMD-160, which is emanated from the necessity for existence of very strong algorithms in cryptanalysis. This technique involves the application of spatial and temporal pre-computation. The proposed technique leads to an implementation with more than 35% higher throughput. © 2008 IEEE