Evolution of Malware in the Digital Transformation Age

2021 ◽  
pp. 244-266
Author(s):  
Shahid Alam
Keyword(s):  
Leading Edge ◽  
Digital Transformation ◽  
Future Research ◽  
Malware Analysis ◽  
New Wave ◽  
New Techniques ◽  
Research Directions ◽  
Detection Techniques ◽  
Future Research Directions ◽  
Native Code

As corporations are stepping into the new digital transformation age and adopting leading-edge technologies such as cloud, mobile, and big data, it becomes crucial for them to contemplate the risks and rewards of this adoption. At the same time, the new wave of malware attacks is posing a severe impediment in implementing these technologies. This chapter discusses some of the complications, challenges, and issues plaguing current malware analysis and detection techniques. Some of the key challenges discussed are automation, native code, obfuscations, morphing, and anti-reverse engineering. Solutions and recommendations are provided to solve some of these challenges. To stimulate further research in this thriving area, the authors highlight some promising future research directions. The authors believe that this chapter provides an auspicious basis for future researchers who intend to know more about the evolution of malware and will act as a motivation for enhancing the current and developing the new techniques for malware analysis and detection.

Deepfake videos: synthesis and detection techniques –a survey

2021 ◽  
pp. 1-21
Author(s):  
Shahela Saif ◽  
Samabia Tehseen
Keyword(s):  
Social Systems ◽  
Generative Models ◽  
Detection Methods ◽  
Future Research ◽  
Fake News ◽  
Research Directions ◽  
Detection Techniques ◽  
Future Research Directions ◽  
Video Creation ◽  
The One

Deep learning has been used in computer vision to accomplish many tasks that were previously considered too complex or resource-intensive to be feasible. One remarkable application is the creation of deepfakes. Deepfake images change or manipulate a person’s face to give a different expression or identity by using generative models. Deepfakes applied to videos can change the facial expressions in a manner to associate a different speech with a person than the one originally given. Deepfake videos pose a serious threat to legal, political, and social systems as they can destroy the integrity of a person. Research solutions are being designed for the detection of such deepfake content to preserve privacy and combat fake news. This study details the existing deepfake video creation techniques and provides an overview of the deepfake datasets that are publicly available. More importantly, we provide an overview of the deepfake detection methods, along with a discussion on the issues, challenges, and future research directions. The study aims to present an all-inclusive overview of deepfakes by providing insights into the deepfake creation techniques and the latest detection methods, facilitating the development of a robust and effective deepfake detection solution.

scholarly journals Moving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 309 ◽  
Author(s):  
Hind Bangui ◽  
Said Rakrak ◽  
Said Raghay ◽  
Barbora Buhnova
Keyword(s):  
Cloud Computing ◽  
Leading Edge ◽  
Cloud Services ◽  
Future Research ◽  
Research Directions ◽  
Iot Applications ◽  
Future Research Directions ◽  
Iot Devices ◽  
The Internet Of Things

Cloud computing has significantly enhanced the growth of the Internet of Things (IoT) by ensuring and supporting the Quality of Service (QoS) of IoT applications. However, cloud services are still far from IoT devices. Notably, the transmission of IoT data experiences network issues, such as high latency. In this case, the cloud platforms cannot satisfy the IoT applications that require real-time response. Yet, the location of cloud services is one of the challenges encountered in the evolution of the IoT paradigm. Recently, edge cloud computing has been proposed to bring cloud services closer to the IoT end-users, becoming a promising paradigm whose pitfalls and challenges are not yet well understood. This paper aims at presenting the leading-edge computing concerning the movement of services from centralized cloud platforms to decentralized platforms, and examines the issues and challenges introduced by these highly distributed environments, to support engineers and researchers who might benefit from this transition.

scholarly journals Digital transformation in sales as an evolving process

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stefan Wengler ◽  
Gabriele Hildmann ◽  
Ulrich Vossebein
Keyword(s):  
Empirical Research ◽  
Transformation Process ◽  
Digital Transformation ◽  
Transformation Model ◽  
Future Research ◽  
Research Directions ◽  
Management Implications ◽  
Content Type ◽  
Future Research Directions ◽  
Productivity Gains

Purpose The majority of business-to-business companies are working on their digital transformation in sales. Despite enormous transformation efforts, the expected productivity gains are often missing in most companies. Based on empirical research, this paper aims to develop a new market-oriented transformation model. Management implications as well as future research directions are derived for a more focused digital transformation process in sales. Design/methodology/approach Within the exploratory research study, 90 key informants were interviewed to provide better insights in the context of digital transformation in sales. The accuracy of the research results was safeguarded by triangulation. Findings As this research paper will show, the reasons for the missing productivity gains caused by a limited knowledge about the main success factors of digital transformation as well as a lack of understanding of digital transformation as an evolving process. Originality/value Based on the empirical research, a new market-oriented transformation model is developed and management implications as well as future research directions are derived for a more focused digital transformation process in sales.

scholarly journals A Survey on Approximation in Parameterized Complexity: Hardness and Algorithms

Algorithms ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 146
Author(s):  
Andreas Emil Feldmann ◽  
Karthik C. Karthik C. S. ◽  
Euiwoong Lee ◽  
Pasin Manurangsi
Keyword(s):  
Parameterized Complexity ◽  
Future Research ◽  
Np Hard ◽  
New Techniques ◽  
Research Directions ◽  
Ways Of Coping ◽  
Hard Problems ◽  
Future Research Directions ◽  
Np Hard Problems

Parameterization and approximation are two popular ways of coping with NP-hard problems. More recently, the two have also been combined to derive many interesting results. We survey developments in the area both from the algorithmic and hardness perspectives, with emphasis on new techniques and potential future research directions.

scholarly journals Transmission and detection techniques for Internet of Bio-Nano Things applications with static and mobile molecular communication: A survey

2021 ◽  
Vol 2 (3) ◽  
pp. 33-78
Author(s):  
Amit K. Shrivastava ◽  
Debanjan Das ◽  
Neeraj Varshney ◽  
Rajarshi Mahapatra
Keyword(s):  
Communication Systems ◽  
Future Research ◽  
Molecular Communication ◽  
Research Directions ◽  
Detection Techniques ◽  
Practical Design ◽  
Future Research Directions ◽  
Experimental Works ◽  
Detection Schemes ◽  
Health Applications

Recent studies have shown that designing communication systems at nanoscale and microscale for the Internet of Bio-Nano Things (IoBNT) applications is possible using Molecular Communication (MC), where two or multiple nodes communicate with each other by transmitting chemical molecules. The basic steps involved in MC are the transmission of molecules, propagation of molecules in the medium, and reception of the molecules at the receiver. Various transmission schemes, channel models, and detection techniques have been proposed for MC in recent years. This paper, therefore, presents an exhaustive review of the existing literature on detection techniques along with their transmission schemes under various MC setups. More specifically, for each setup, this survey includes the transmission and detection techniques under four different environments to support various IoBNT applications: (i) static transmitter and receiver in a pure-diffusive channel, (ii) static transmitter and receiver in a flow-induced diffusive channel, (iii) mobile transmitter and receiver in a pure-diffusive channel, (iv) mobile transmitter and receiver in a flow-induced diffusive channel. Also, performances and complexities of various detection schemes have been compared. Further, several challenges in detection and their possible solutions have been discussed under both static and mobile scenarios. Furthermore, some experimental works in MC are presented to show realistic transmission and detection procedures available in practice. Finally, future research directions and challenges in the practical design of the transmitter and receiver are described to realize MC for IoBNT health applications.

Advanced Middleware Architectural Aspects for Personalised Leading-Edge Services

2011 ◽  
pp. 94-117
Author(s):  
Nancy Alonistioti
Keyword(s):  
Knowledge Management ◽  
Service Provision ◽  
Autonomic Computing ◽  
State Of The Art ◽  
Leading Edge ◽  
Future Research ◽  
Research Directions ◽  
Architectural Model ◽  
Future Research Directions ◽  
Service Adaptation

This chapter introduces context-driven personalisation of service provision based on a middleware architectural approach. It describes the emerging environment on service provision, outlining the increasing requirements for personalisation as well as the state-of-the-art approaches in personalisation. A novel information space is presented to introduce the middleware architectures for personalisation in service provision. Technology enablers for context and knowledge management as well as service adaptation are also introduced, and an architectural model for the personalisation functionality is presented. The study also touches upon advanced concepts based on autonomic computing and communications to introduce future research directions.

Computerized Paleographic Investigation of Hebrew Iron Age Ostraca

Radiocarbon ◽  
2015 ◽  
Vol 57 (2) ◽  
pp. 317-325 ◽  
Author(s):  
Shira Faigenbaum-Golovin ◽  
Arie Shaus ◽  
Barak Sober ◽  
Israel Finkelstein ◽  
David Levin ◽  
...  
Keyword(s):  
Iron Age ◽  
Multispectral Imaging ◽  
Imaging Systems ◽  
Future Research ◽  
Signal Acquisition ◽  
New Techniques ◽  
Research Directions ◽  
Ongoing Research ◽  
Tel Aviv ◽  
Future Research Directions

This article surveys ongoing research of the Legibility Enhancement of Ostraca (LEO) team of Tel Aviv University in the field of computerized paleography of Hebrew Iron Age ink-written ostraca. We perform paleographic tasks using tools from the fields of image processing and machine learning. Several new techniques serving this aim, as well as an adaptation of existing ones, are described herein. This includes testing a range of signal-acquisition methodologies, out of which multispectral imaging and Raman spectroscopy have matured into imaging systems. In addition, we deal with semior fully automated facsimile construction and refinement, facsimile, and character evaluation, as well as the reconstruction of broken character strokes. We conclude with future research directions, addressing some of the long-standing epigraphic questions, such as the number of scribes in specific corpora or detection of chronological concurrences and inconsistencies.

The Role of Libraries, Archives, and Museums for Metaliteracy in Smart Cities

2022 ◽  
pp. 355-375
Author(s):  
Saima Qutab ◽  
Syed Adnan Adil ◽  
Lesley A. Gardner ◽  
Farasat Shafi Ullah
Keyword(s):  
Conceptual Framework ◽  
Smart Cities ◽  
Digital Transformation ◽  
Future Research ◽  
Digital Inclusion ◽  
Research Directions ◽  
Essential Components ◽  
Fast Pace ◽  
Future Research Directions

The concept of smart cities is gaining popularity within academic, practice, and policy circles. Smart cities are intended to be self-sufficient via cutting-edge technologies, purposive innovations, and inventions. However, while technology is growing at an unexpectedly fast pace, one of the essential components of smart cities ‘humans' is lagging behind. The need for and scope of literacies to survive in smart cities pose challenges for their citizens. This study aims to identify the range of literacies required in smart cities and the roles of libraries, archives, and museums (LAM) in supporting citizen literacies for social and digital inclusion. The LAM sector is one of the major stakeholders in the digital transformation sphere. Therefore, the LAM sector must identify the nature of required literacies, the roles and strengths of other stakeholders, and the opportunities to increase its presence in the process. This study systematically identifies and addresses these issues through a conceptual framework process and proposes future research directions for the LAM sector.

Sign in / Sign up

Export Citation Format

Share Document