Centralized Architecture Research Articles

Optimizing BFloat16 Deployment of Tiny Transformers on Ultra-Low Power Extreme Edge SoCs

Transformers have emerged as the central backbone architecture for modern generative AI. However, most ML applications targeting low-power, low-cost SoCs (TinyML apps) do not employ Transformers as these models are thought to be challenging to quantize and deploy on small devices. This work proposes a methodology to reduce Transformer dimensions with an extensive pruning search. We exploit the intrinsic redundancy of these models to fit them on resource-constrained devices with a well-controlled accuracy tradeoff. We then propose an optimized library to deploy the reduced models using BFLoat16 with no accuracy loss on Commercial Off-The-Shelf (COTS) RISC-V multi-core micro-controllers, enabling the execution of these models at the extreme edge, without the need for complex and accuracy-critical quantization schemes. Our solution achieves up to 220× speedup with respect to a naïve C port of the Multi-Head Self Attention PyTorch kernel: we reduced MobileBert and TinyViT memory footprint up to ∼94% and ∼57%, respectively, and we deployed a tinyLLAMA SLM on microcontroller, achieving a throughput of 1219 tokens/s with an average power of just 57 mW.

Multi-Tenant Cloud FPGA: A Survey on Security, Trust and Privacy

With the growing demand for enhanced performance and scalability in cloud applications and systems, data center architectures are evolving to incorporate heterogeneous computing fabrics that leverage CPUs, GPUs, and FPGAs. Unlike traditional processing platforms like CPUs and GPUs, FPGAs offer the unique ability for hardware reconfiguration at run-time, enabling improved and tailored performance, flexibility, and acceleration. FPGAs excel at executing large-scale search optimization, acceleration, and signal processing tasks while consuming low power and minimizing latency. Major public cloud providers, such as Amazon, Huawei, Microsoft, Alibaba, and others, have already begun integrating FPGA-based cloud acceleration services into their offerings. Although FPGAs in cloud applications facilitate customized hardware acceleration, they also introduce new security challenges that demand attention. Granting cloud users the capability to reconfigure hardware designs after deployment may create potential vulnerabilities for malicious users, thereby jeopardizing entire cloud platforms. In particular, multi-tenant FPGA services, where a single FPGA is divided spatially among multiple users, are highly vulnerable to such attacks. This paper examines the security concerns associated with multi-tenant cloud FPGAs, provides a comprehensive overview of the related security, privacy and trust issues, and discusses forthcoming challenges in this evolving field of study.

Embracing Data Mesh and Zero ETL: Revolutionizing Intra-Company Data Exchange and Collaboration

New methods of sharing and collaborating on data within companies are required due to the fast development of data ecosystems. In order to respond to changing business demands, organisations typically struggle with agility, scalability, and real-time insights caused by traditional centralised architectures and Extract, Transform, Load (ETL) procedures. In order to overcome these obstacles, this research investigates the revolutionary possibilities of the Data Mesh and Zero ETL paradigms. Data Mesh allows cross-functional teams to manage and distribute data as a product, decentralising ownership by aligning it with business domains. By doing away with tedious data pipelines, Zero ETL allows for frictionless, real-time data transfer across platforms and systems, significantly improving efficiency. Taken as a whole, these methods improve decision-making, streamline operations, and promote self-service analytics, all while redefining intra-company data cooperation. This study proves that data accessibility, governance, and time-to-insight all saw considerable improvements after analysing case studies and performance indicators in depth. Data Mesh and Zero ETL have the ability to transform the way organisations use data, encouraging a spirit of creativity, cooperation, and agility, according to the results. Businesses may use this research as a guide to adopt these paradigms and thrive in the ever-changing digital world. Innovative solutions for intra-company data interchange and cooperation are required due to the increasing complexity and volume of current data ecosystems.When it comes to agility, scalability, and real-time, traditional data architectures and Extract, Transform, and Load (ETL) procedures can't cut it. In order to tackle these problems head-on, this research looks at how the Data Mesh and Zero ETL paradigms may work together. By distributing ownership of data and tying it to certain business domains, Data Mesh allows teams to manage data as a product and guarantees interoperability. Zero ETL reduces the time and resources needed for data transformation and transfer while eliminating the need for conventional data pipelines. It enables real-time data exchange. A data-driven decision-making environment that is agile and collaborative is fostered by these paradigms when they are used together. Organisations that use these strategies increase data accessibility, governance, and operational efficiency, as shown by empirical assessments and real-world case studies. Data Mesh and Zero ETL have the ability to transform how companies handle data internally. This might lead to more innovation, less complexity, and a faster return on investment. Results from this research may help businesses update their data strategy and adopt a more collaborative, domain-oriented approach to data management.

Architecture of the administrative centre of Kharkiv, the capital – laboratory for the creation of the New Man: from concept to implementation

The interest in addressing social and political problems through architecture entered the professional discourse of Ukrainian architects in the 1920s. The creation of a new Soviet man became one of the central ideas of the early Soviet state. As a result of the planned transformation of social and family life, there was an active search for new typologies and concepts in both residential and public architecture. The creation of "social condensers," as a means of spatially materializing the idea of shaping a new Soviet man through architecture, became one of the most significant leitmotifs in the formation of architectural and urban planning ensembles in the capital city of Kharkiv, Kharkiv is known not only as a site for creating world renowned modernist complexes, but also as a venue for implementing social experiments. This article explores an example of such a "social condenser" through the ensemble of the Dzerzhynskyj Square (now Svobody Square) district, featuring its unique residential block-combines, as well as architectural concepts that were not realized in their originally conceived form.

Dynamic multimedia transmission scheduling by unmanned aerial vehicle–mounted base stations for a vehicular ad hoc network

On highways, vehicle speed and topology changes are likely to cause transmission delays. In this study, a multimedia transmission system for highways is proposed; this system combines a next-generation cloud radio access network, which has a centralised architecture, with unmanned aerial vehicle (UAV)-mounted base stations (UAV-BSs), cellular network base stations, and roadside units. The deployment characteristics of the UAV-BSs are examined to improve the service of vehicular ad hoc networks and the quality of experience of users. A UAV location assignment algorithm and a transmission resource allocation algorithm for multiple bit rates, communication channels, and relay stations are proposed to reduce multimedia playback lag. We implemented a simulation programme to evaluate how the proposed algorithms outperformed other relevant methods. The simulation results indicate that the proposed algorithms achieve lower lag time than do existing demand- and transmission-based methods. The findings of this study have implications for the practical application of multimedia transmission decision support on highways.

Urartu Yerleşim Arkeolojisine Yeni Bir Örnek: Tutmaç Taş Kale

Settlement Archaeology, one of the sub-branches of archaeology, is actually a science based on the use of science and natural sciences to understand, describe and explain long-term cultural and behavioural changes. This branch of science, which evaluates archaeological settlements according to environmental conditions, has been accepted since the 19th century. This branch of science, which has been applied on many settlements around the world, has not been tried on the centres of the Urartu Kingdom until now. The Urartu Kingdom, which existed between the 9th and 7th centuries BC, actually achieved this long-lasting sovereignty thanks to its ability to dominate the environmental conditions. In the Van Lake Basin, the main distribution region of the kingdom, some 120 fortresses dating back to the Urartu Period have been identified. The fortresses are mostly scattered around the fertile plains and plains where agriculture and animal husbandry activities were carried out. One of the centres where the kingdom spread is the Gürpınar Plain and the lands irrigated by the Hoşap water. Thanks to the excavations and surveys carried out in Gürpınar, we have information about the Urartian settlement order. One of these important settlements is Tutmaç Stone Fortress. Located within the borders of Tutmaç Quarter of Gürpınar, the Fortress shows a complete example of a rural tribal centre architecture with a pond, a flat settlement area and a surveillance Fortress connected to the Fortress. The place of the Fortress in the settlement pattern is discussed in this study. Key Words: Settlement Archaeology, Iron Age, Urartian, Gurpınar Plain, Tutmaç Stone Fortress

Cyber Security of Smart-Grid Frequency Control: A Review and Vulnerability Assessment Framework

Smart grid involves application of information and communication technology (ICT) for monitoring, protection, operation and control of interconnected power systems under various scenarios. Smart grid control (SGC) is an important aspect that is constantly subjected to various vulnerabilities, threats and attacks under central and distributed control architectures. Cybersecurity of SGC, especially, load frequency control (LFC), is an important issue that is addressed in this article. The state-of-the-art in cybersecurity and attacks on SGC and intensive literature review is discussed with a comprehensive list of references on LFC. The authors present a part of their own work carried out on a systematic vulnerability assessment (VA) framework that can be used to identify weak points in the LFC system. The proposed methodology is explained for VA of the standard 39-bus New England test system and the 96-bus reliability test system (RTS) to illustrate the concept of cybersecurity and VA of smart grid LFC.

Culture of Vineyard Roofs as Expression of Rural Architectural in Turkey: Nevsehir Goreme Examples

Folk architecture actions that define only need-oriented structures built by the society using local materials and local masters; Even though they were built without any concern for sustainability, they been contained important cultural assets in terms of reflecting the social and economic situation of the people. Immovable properties that serve different functions such as vineyard houses, wineries and agricultural warehouses built in the Central Anatolia geography of Turkey, which has fertile lands, have cultural value in the context of expressing the identity of the region in which they are located. In this study, vineyard roofs registered as immovable cultural assets by the Ministry of Culture and Tourism; it was examined in terms of material, technical and stylistic features. These structures, unique to Central Anatolian folk architecture, have been tried to be evaluated in an integrated manner with their architectural features and the conditions of the period in which they were built. The fact that vineyard roofs, which do not have any structural and functional similarities with vineyard houses, have not been the subject of a scientific publication before, was seen as a deficiency in the literature; these structures were cataloged by creating a typology based on the structures identified in Göreme Town and were subject to scientific study. Each of the vineyard roofs included in the study have been examined on site, photographed and measured. Since the vineyard roofs, which were examined with material, technique and decoration details, were seen to follow a certain line on the old vineyard road in Göreme Town; a sample that is significantly located along the route but remains within the borders of Uçhisar District today was also included in the study.

The development of fitness centre architecture: Integration of modern trends and conventional approaches

This study is concerned with the analysis of fitness centre architecture, with a particular focus on the integration of modern technologies with traditional design approaches. The objective was to examine the impact of contemporary architectural trends and technologies, including Building Information Modeling and artificial intelligence, on spatial solutions, functionality, and sustainability in the context of fitness centres. A comparative analysis was conducted between historical examples of Soviet-era sports complexes, which were imbued with ideological significance, and modern fitness centres, which are oriented towards the comfort and individual needs of users. The findings demonstrate that the process of globalisation has exerted a considerable influence on the standardisation of fitness centre design, frequently resulting in the erosion of national architectural characteristics. However, innovative approaches, such as the use of environmentally friendly materials and the integration of energy-efficient technologies, have been identified as pivotal to the development of modern fitness centres that are aligned with the needs of urban spaces. Based on an analysis of trends in various countries, recommendations were made for the creation of inclusive, eco-friendly, and innovative training spaces that support both social integration and individual goals. This study makes a significant contribution to architectural practice by offering ways to improve the efficiency of fitness centres through the use of modern technologies, the preservation of local cultural features, and the creation of comfortable environments for all visitors

BIOPHILIC ARCHITECTURE AND SPATIAL PERCEPTION: THE CASE OF GEOFFREY BAWA’S KEY WORKS AND THE PAM CENTRE, A COMPARATIVE ANALYSIS

The three pillars of biophilic architecture, Nature in the Space, Natural Analogues, and Nature of the Space are key design principles that focus on the integral relationship between the natural and the built environment. This study explores the application of these primary Biophilic design principles in Geoffrey Bawa’s architecture focusing on the aspects of both; architectural design (the craft) and user experience (the psychological and the social well-being). As this study aims to benefit the discourse of Malaysian Architecture, it will bring forth the corollaries between Geoffrey Bawa’s architecture and the newly retrofitted Centre of Malaysian Institute of Architects (PAM). This research has addressed three fundamental questions: (1) What roles do these three primary Biophilic design principles play in architecture? (2) How do they then engender a concrete sense of a cohesive and natural-feeling environment to the general user in the PAM Centre? (3) How effective is the Biophilic design applied in the PAM Centre in nurturing a close-knit connection with nature for its users, compared to other architecture of equivalent typology, namely the institutional buildings? This study employs qualitative approaches, including document analysis, precedent study, and a complete case study of the PAM Centre. This case study involves a comparative analysis of the Biophilic design principles specifically drawn from the architectures of Geoffrey Bawa and their applications in the PAM Centre. The findings reveal a deep understanding of three (3) main pillars of the Biophilic design and their effective integration as already manifested by Geoffrey Bawa, which enhances the natural ambience and connectivity to nature within the building and built environment. In conclusion, the research demonstrates Bawa’s Biophilic design principles which are evident in the architecture of PAM Centre successfully creating environments that are both natural and supportive of human well-being

HERP: Hierarchical and distributed clouds oriented efficient resource scheduling algorithm with stochastic requirements

With the development of cloud technology, hierarchical and distributed cross-cloud architecture is gradually replacing traditional centralized architecture, for example, used in edge (or fog) computing. Due to the fluctuation of resource requirements, if a node does not have sufficient resources to process requests, the same or higher-level nodes can share their resources by offloading or redirecting requests to themselves, at the possible cost of reduced service quality. However, it is difficult to effectively optimize the sharing effect based on mean requirements. We formulate the multilevel problem with horizontal and vertical resource sharing using stochastic models, identify the optimal structures with embedded subproblems, and obtain the approximation solution in an efficient dynamic programming manner. In the problem setting with a wide range of different parameters, the proposed algorithm can outperform existing mean and heuristic algorithms in all scenarios to improve the total satisfied requirements by up to 26%, and can be hundreds of times faster than these heuristic algorithms.

A Blockchain-Based Supervision Data Security Sharing Framework

Ensuring trust, security, and privacy among all participating parties in the process of sharing supervision data is crucial for engineering quality and safety. However, the current centralized architecture platforms that are commonly used for engineering supervision data have problems such as low data sharing and high centralization. A blockchain-based framework for the secure sharing of engineering supervision data is proposed by utilizing the tamper-proof, decentralized, and traceable characteristics of blockchain. The secure storage of supervision data is achieved by combining it with the IPFS (InterPlanetary File System), reducing the storage pressure of on-chain data. Additionally, a fast data retrieval framework is designed based on the storage characteristics of supervision data. Then, CP-ABE (Ciphertext Policy Attribute Based Encryption) is combined with a data storage framework to ensure the privacy, security, and reliability of supervisory data during the sharing process. Finally, smart contracts are designed under the designed framework to ensure the automatic and trustworthy execution of access control processes. The analysis and evaluation results of the security, encryption and decryption, and cost performance of the proposed blockchain framework show that the encryption and decryption time is completed within 0.1 s, the Gas cost is within the normal consumption range, and the time cost of smart contract invocation does not exceed 5 s, demonstrating good availability and reusability of the method proposed in this article.

Fault-tolerant security-efficiency combined authentication scheme for manned-unmanned teaming

Manned-unmanned teaming (MUM-T) is an emerging network system which interconnects manned aerial vehicles (MAVs) with unmanned aerial vehicles (UAVs) to enhance mission effectiveness and reduce workloads. Like other wireless systems, MUM-T is prone to attacks from the open communication channel. Therefore, an authentication scheme is required to establish secure and trusted communication between the MAV and the UAV. However, existing schemes fail to provide adequate security features and necessary efficiency, mostly due to their incomprehensive threat modeling and improper use of authentication techniques. Moreover, traditional centralized architecture of the authentication server leads to the single point of failure (SPOF) problem, which jeopardizes the robustness and scalability of MUM-T. In this paper, we propose a fault-tolerant authentication scheme for MUM-T that will solve these problems. To enhance its security, we construct a new threat model consisting of adversary's capabilities, security features, and security challenges to ensure the security of a scheme under combination attacks. To preserve the highest possible efficiency, we propose the design principle of using lightweight primitives for authentication and applying public key operations in key establishment. To address the SPOF problem, we employ a distributed fault-tolerant mechanism to share registration information within authentication servers and defend against faulty nodes. As is demonstrated by the security proof and performance comparison, our scheme succeeds in improving security and reducing overall costs, which provides a better solution than existing schemes.

HPC software for modelling field electron emission

The aim of this work is modeling processes of field electron emission in strong electromagnetic fields. This problem is relevant for many technical and medical applications. At present time, electrical devices that combine a large value of field, a powerful relativistic effect and an ultra-short time interval of action are in demand. They find their application in the treatment of the surfaces with inorganic, organic and mixed structures. Modeling of such devices encounters certain difficulties due to the complexity of the mathematical description of the emission processes. In this paper, an approach using the method of large smoothed particles in combination with grid calculation of fields based on Maxwell's equations is proposed. The study was carried out within the framework of the problem of calculating the field emission of electrons from the surface of axisymmetric metal cathodes on Cartesian and unstructured curved meshes. To implement the approach, a complex mathematical model, a parallel numerical algorithm and its software realization have been developed. The elaborated software is focused on the use of multiprocessor computing systems with a central architecture. Test calculations confirmed the correctness of the proposed approach and the high efficiency of its software implementation.

The monitoring system of running state data of converter station equipment based on sensor information and 3D positioning algorithm

Abstract The stable operation of multiple equipment in the converter station can ensure the safety of the DC transmission system. Once the fault occurs, it will pose a threat to the safety and stability of the power grid. It is necessary to monitor the running state of all kinds of equipment, and study the monitoring system of the running state data of the converter station equipment based on sensor information and a three-dimensional positioning algorithm. In terms of hardware design, TCP and IP communication protocols are used to connect the sensors, and the sensors are arranged according to the vibration conduction standard, constituting a three-layer monitoring architecture of monitoring center, sensor, and equipment. The sensor module is connected by interface, and the structure of the connecting control board for sensor data transmission is set to increase the flexibility of sensor nodes. In software design, the basic information of converter station equipment is corresponding to sensor technology, and the database of operating equipment is established. A three-dimensional positioning algorithm is used to determine the data output form, detect the running state data of the converter station equipment, and complete the system design. The experiment takes various types of running data as the test object. Under the system application in this paper, different running data can be correctly classified and data monitoring under various states can be realized, which has application value.

Robust and Privacy-Preserving Decentralized Deep Federated Learning Training: Focusing on Digital Healthcare Applications.

Federated learning of deep neural networks has emerged as an evolving paradigm for distributed machine learning, gaining widespread attention due to its ability to update parameters without collecting raw data from users, especially in digital healthcare applications. However, the traditional centralized architecture of federated learning suffers from several problems (e.g., single point of failure, communication bottlenecks, etc.), especially malicious servers inferring gradients and causing gradient leakage. To tackle the above issues, we propose a robust and privacy-preserving decentralized deep federated learning (RPDFL) training scheme. Specifically, we design a novel ring FL structure and a Ring-Allreduce-based data sharing scheme to improve the communication efficiency in RPDFL training. Furthermore, we improve the process of distributing parameters of the Chinese residual theorem to update the execution process of the threshold secret sharing, supporting healthcare edge to drop out during the training process without causing data leakage, and ensuring the robustness of the RPDFL training under the Ring-Allreduce-based data sharing scheme. Security analysis indicates that RPDFL is provable secure. Experiment results show that RPDFL is significantly superior to standard FL methods in terms of model accuracy and convergence, and is suitable for digital healthcare applications.

Review of Aleksander Laslo’s Research on Late Nineteenth and Early Twentieth-Century Architecture in Zagreb

Architect Aleksander Saša Laslo (Celje, 1950 – Zagreb, 2014) was one of the leading historians of Croatian twentieth-century architecture, with a research scope centered on the city of Zagreb. Its aim was to investigate the processes of modernisation, tracing the evolution from high historicism and eclecticism through Art Nouveau to proto-functionalism and New Building (Ger. Neues Bauen, Cro. novo građenje) – viewed through building spatial-organisation, construction, and then inevitably form. Laslo’s interest, of course, extended beyond the mere physical structure of the building to wider social, economic, and cultural context, and dynamic knowledge exchange with Central Europe during that time, within which Laslo positioned the architecture of Zagreb. Methodologically, since the very beginning in the early 1980s, Laslo relied on exhaustive research, cataloguing, and contemporary research of Central European architecture. To mark the tenth anniversary of the death of this prominent researcher of Zagreb’s architectural heritage, this paper provides the first review of Laslo’s work, highlighting its comprehensiveness, integrity, and scientific method.

CNS Delivery Systems Based on Nanotechnology with Particular Attention to Parkinson's and Alzheimer's Disease –A Review

Abstract:: Nanotechnology has emerged as a promising frontier in the field of drug delivery, offering unprecedented opportunities for precise and targeted interventions in neurodegenerative disorders, such as Parkinson's and Alzheimer's diseases. This review explores recent advancements in nanotechnology-based delivery systems designed to enhance drug transport across the blood-brain barrier and facilitate targeted drug delivery to the central nervous system. The unique challenges posed by the intricate central nervous system architecture, particularly in the context of Parkinson's and Alzheimer's diseases, necessitate innovative solutions to improve therapeutic outcomes. The review comprehensively discusses various nanocarrier platforms, including liposomes, polymeric nanoparticles, dendrimers, and exosomes, and their potential applications in drug delivery to the central nervous system (CNS). Special emphasis is placed on addressing the multifaceted challenges associated with neurodegenerative diseases, such as the need for sustained drug release, protection of therapeutic agents from enzymatic degradation, and the efficient crossing of the blood-brain barrier. Furthermore, the review highlights recent breakthroughs in nanotechnology-driven diagnostic and therapeutic approaches, ranging from early detection of disease biomarkers to the targeted delivery of neuroprotective agents. The potential of personalized medicine and the integration of advanced imaging techniques with nanotechnology for precise disease monitoring are also discussed. In conclusion, this review provides a comprehensive overview of recent advancements in nanotechnologybased delivery systems tailored for CNS targeting, with a specific focus on Parkinson's and Alzheimer's diseases. The synthesis of current research findings underscores the transformative potential of nanotechnology in reshaping the landscape of therapeutic strategies for neurodegenerative disorders, offering hope for improved patient outcomes and the development of novel treatment modalities.

Clinical, Ophthalmic, and Genetic Characterization of RPGRIP1-Associated Leber Congenital Amaurosis/Early-Onset Severe Retinal Dystrophy

PurposeTo present the clinical characteristics, retinal features, natural history, and genetics of RPGRIP1-Associated Early Onset Severe Retinal Dystrophy (EOSRD)/Leber Congenital Amaurosis (LCA). DesignRetrospective case series. MethodsReview of clinical notes, multi-modal retinal imaging, and molecular diagnosis of 18 patients (17 families) with EOSRD/LCA and disease-causing variants in RPGRIP1. ResultsThe mean age of visual symptoms onset was 0.87 ± 1 year (birth-3 years) and the mean age at baseline visit was 11.4 ± 10.2 years (1-39 years). At the baseline visit, 44% of patients were legally blind (range= 2-39 years) and there was no significant association found between age and best corrected visual acuity (BCVA) in cross sectional analysis. Retinal evaluation showed an abolished electroretinogram or a cone-rod dystrophy pattern, none or minimal pigment deposits, a hyperautofluorescent ring at the posterior pole, and a largely preserved central macular architecture, with retained outer nuclear layer and ellipsoid zone island into adulthood. Eleven variants (48%) were previously unreported, and 13 families (76%) had a double null genotype (DN). Twelve patients (67%) had follow up assessments over a 15.7 ± 9.5 year period. The rate of BCVA decline was 0.02 LogMAR (1 letter)/year. ConclusionsRPGRIP1-EOSRD/LCA often presents at birth or early infancy, with nystagmus, decreased VA, hyperopia, and photophobia. Patients with a DN genotype may develop symptoms earlier and have worse vision. Multimodal imaging may show a hyperautofluorescent posterior pole ring, and relatively preserved central macular architecture, suggesting that the condition is a promising candidate for gene supplementation.

Model-based framework for exploiting sensors of IoT devices using a botnet: a case study with android

ABSTRACT Botnets have become a severe security threat not only to the Internet but also to the devices connected to it. Factors like the exponential growth of IoT, the COVID-19 pandemic, and the ever-larger number of cybercriminals are incentivising the growth of botnets in this domain. The recent outbreak of botnets like Dark Nexus (derived from Qbot and Mirai), Mukashi, LeetHozer, Hoaxcalls, etc. shows the alarming rate at which this threat is converging. The botnets have attributes that make them an excellent platform for malicious activities in IoT devices used by organisations to safeguard the personal and confidential data of their customers, employees, and business partners. The IoT devices have built-in sensors or actuators that can be exploited to monitor or control the physical environment of the entities connected to them, thereby violating the fundamental concept of privacy-by-design of these devices. In this paper, we design and describe a modular botnet framework for IoT. The framework uses an enhanced centralised architecture associated with a novel ‘Domain Fluxing Technique’. The proposed framework will provide insights into how privacy in IoT devices can be incorporated at design time to check the sensors and actuators in these devices against malicious exploitation, consequently preserving privacy.