What are the best secure multi-party computation project topics?

Top topics include additive and Shamir secret sharing demos, private set intersection, secure aggregation for federated learning, privacy-preserving linear regression/classification, and MP-SPDZ protocol benchmarks.

Which tools and datasets are used?

MP-SPDZ, PySyft, TF Encrypted concepts, CrypTen, Python; datasets include public tabular sets (UCI, Adult) used in PPML experiments and synthetic multi-party inputs.

Do you provide complete packages?

Yes — protocol notes, evaluation metrics, university-format report, PPT and viva Q&A focused on educational SMPC research.

Secure Multi-Party Computation Projects | SMPC · Secret Sharing · Privacy-Preserving ML

Secure Multi-Party Computation Final Year Projects 2026

Secure multi-party computation (SMPC) enables parties to jointly compute a function over their private inputs without revealing those inputs. Student projects emphasize educational implementations of secret sharing, private set intersection, privacy-preserving ML and secure aggregation using open frameworks.

Below: 80+ topics with tools and representative datasets / input settings.

Tools & Platforms

MP-SPDZ PySyft CrypTen Python · numpy TF Encrypted concepts UCI · Synthetic

Best Secure Multi-Party Computation Project Topics (80+)

Topics with tools and datasets / inputs.

#	Project Topic	Tools	Datasets / Inputs
Secret Sharing Fundamentals
01	ShareAdditive Secret Sharing Demo: Sum of Private Inputs	Python · numpy	Synthetic integers
02	ShareShamir Secret Sharing: Share, Reconstruct, Threshold	Python · finite fields	Toy secret values
03	ShareComparison of Additive vs Shamir Sharing Overhead	Python · benchmarks	Varying party counts
04	ShareSecure Sum Protocol among n Parties	Python · sockets lite	Distributed synthetic data
05	ShareSecure Comparison / Greater-Than with Shares	MP-SPDZ concepts · Python	Shared integers
06	ShareShare Conversion and Re-Sharing Exercises	Python · protocol notes	Multi-party shares
07	ShareMalicious vs Semi-Honest Threat Model Comparison	literature + demos	Protocol variants
08	ShareVisual Demo: How Shares Hide the Secret	Streamlit · interactive	Educational UI
09	ShareError Detection in Share Reconstruction	checksums · experiments	Corrupted shares
10	ShareTeaching Package: Secret Sharing from Scratch	notebooks · scripts	Lab exercises
Private Set Intersection (PSI)
11	PSINaive vs Cryptographic PSI Complexity Comparison	Python · analysis	Synthetic sets
12	PSIHash-Based PSI Protocol Educational Implementation	Python · hashing	Email / ID sets (synthetic)
13	PSIOT-Based PSI Concepts and Benchmark Notes	literature · MP-SPDZ	Standard PSI sizes
14	PSIPrivate Set Intersection Cardinality (PSI-CA)	Python · protocols	Set size experiments
15	PSIMulti-Party PSI Concepts for n > 2	protocol design · notes	Multi-party sets
16	PSIPSI for Contact Discovery Privacy Case Study	design · threat model	Mobile contact scenarios
17	PSIBenchmark: Communication and Runtime of PSI Variants	timing · bandwidth	Variable set sizes
18	PSIStreamlit Demo: Two Parties Find Common Elements Privately	Streamlit · PSI lite	User-uploaded sets
Privacy-Preserving Machine Learning (PPML)
19	PPMLPrivacy-Preserving Linear Regression with Secret Shares	PySyft / CrypTen concepts	UCI regression sets
20	PPMLSecure Logistic Regression for Binary Classification	MP-SPDZ · PySyft	Adult · UCI binary
21	PPMLSecure Aggregation of Model Gradients	Python · additive shares	Federated-style gradients
22	PPMLAccuracy vs Privacy Trade-off in PPML Training	CrypTen / Syft · metrics	Public ML datasets
23	PPMLEncrypted Inference with Pre-Trained Model Concepts	HE / SMPC hybrid notes	Image / tabular inference
24	PPMLVertical Partitioned Learning: Different Features per Party	split learning concepts	Feature-split Adult
25	PPMLHorizontal Partitioned Learning: Different Samples per Party	secure aggregation	Sample-split UCI
26	PPMLComparison: Cleartext vs Secure Training Cost	benchmarks · tables	Same model both modes
27	PPMLDifferential Privacy + SMPC Hybrid Awareness Study	DP noise + shares	PPML pipelines
28	PPMLReproducible PPML Experiment Template	PySyft / CrypTen · configs	Standard tabular tasks
Secure Aggregation & Federated Settings
29	FedSecure Aggregation Protocol for Federated Averaging	Python · masking / shares	Simulated FL clients
30	FedDrop-Out Robust Secure Aggregation Concepts	protocol design	Client failure scenarios
31	FedFederated Learning with SMPC Aggregation Demo	Flower / Syft concepts	Partitioned MNIST / UCI
32	FedCommunication Cost of Secure vs Plain Aggregation	bandwidth analysis	Varying client counts
33	FedCross-Silo Secure Analytics: Hospitals / Banks Scenario	design · threat model	Synthetic institutional data
34	FedSecure Sum for Distributed Statistics (Mean, Count)	secret sharing	Multi-party tables
35	FedPrivacy Budget Accounting in Hybrid DP+FL Systems	DP accountants · notes	FL experiment logs
36	FedDashboard: Federated Training with Secure Agg Status	Streamlit · sim	FL simulation UI
Garbled Circuits & Yao-Style Concepts
37	CircYao Garbled Circuit High-Level Walkthrough	educational notes · Python lite	Boolean circuit examples
38	CircCircuit Representation of Simple Functions (ADD, CMP)	circuit compilers concepts	Arithmetic → boolean
39	CircOblivious Transfer (OT) Building Block Demo	Python · OT toy	Educational OT runs
40	CircFree-XOR and Other GC Optimizations Survey	literature synthesis	Protocol papers
41	Circ2-Party Secure Function Evaluation End-to-End Toy	Python · GC + OT concepts	Private inputs → output
42	CircComparison: GC vs Secret-Sharing for Arithmetic Workloads	benchmark notes	Arithmetic circuits
43	CircMalicious Security Extensions Overview (Cut-and-Choose Concepts)	literature · diagrams	Threat model upgrade
44	CircTeaching Lab: From Plain Circuit to Garbled Evaluation	notebooks · steps	Student lab package
Protocols, Frameworks & Benchmarks
45	ProtoMP-SPDZ Tutorial: Write and Run a Simple MPC Program	MP-SPDZ	Built-in examples
46	ProtoProtocol Suite Comparison: SPDZ, MASCOT, Semi-Honest	MP-SPDZ · docs	Same function multiple suites
47	ProtoOnline vs Offline Phase Cost Breakdown	MP-SPDZ · profiling	Standard benchmarks
48	ProtoNetwork Latency Impact on MPC Runtime	controlled delay · timing	LAN vs simulated WAN
49	ProtoScaling with Number of Parties: Empirics	MP-SPDZ · multi-party	2–8 party experiments
50	ProtoPySyft Virtual Workers Secure Computation Demo	PySyft	Tensor operations
51	ProtoCrypTen Private Inference Walkthrough	CrypTen · PyTorch	Model + private input
52	ProtoFramework Comparison Table: Features and Limits	survey · tables	Syft · SPDZ · CrypTen
Applications & Case Studies
53	AppPrivacy-Preserving Auction / Bidding Simulation	SMPC · design	Synthetic bids
54	AppSecure Genome / Health Statistics Aggregation Concepts	secure sum · threat model	Synthetic health counts
55	AppPrivate Credit Scoring across Banks (Vertical PPML)	split features · LR	Synthetic credit features
56	AppPrivacy-Preserving Recommendation Feature Aggregation	secure agg · CF features	Synthetic user vectors
57	AppContact Tracing Privacy with PSI Concepts	PSI · design	Synthetic encounter IDs
58	AppSecure Payroll / Salary Statistics across Departments	secret sharing	Synthetic salary tables
59	AppMulti-Party Risk Score without Sharing Raw Data	PPML · design	Institutional risk features
60	AppCase Study Report: SMPC in a Chosen Industry	literature + design	Sector-specific scenario
Security Analysis, Usability & Capstone
61	AdvThreat Model Documentation Template for SMPC Systems	framework · checklist	Any protocol project
62	AdvSide-Channel Awareness: Timing and Network Leakage	measurement · notes	MPC timing traces
63	AdvFormal Security Definitions: Semi-Honest vs Malicious	theory notes · examples	Protocol proofs overview
64	AdvComposition of SMPC with Differential Privacy	hybrid design	PPML + DP experiments
65	AdvUsability: Developer Experience of MPC Frameworks	survey · heuristics	Syft / SPDZ UX notes
66	AdvCost Model: Communication, Computation, Rounds	analytical + empirical	Protocol cost tables
67	AdvOpen Challenges in Practical MPC Deployment	literature synthesis	Industry barriers
68	AdvEducational Simulator: Step-Through of a 2PC Protocol	Streamlit · animation	Interactive protocol steps
69	AdvBenchmark Suite: Fixed Functions across Frameworks	unified eval	Same circuits / programs
70	AdvTeaching Curriculum: Sharing → PSI → PPML Path	course outline · labs	Semester package
71	AdvCapstone: End-to-End SMPC Application for a Domain	design → implement → eval	User-chosen use case
72	AdvReproducibility Package: Seeds, Configs, Timing Logs	MP-SPDZ · scripts	Full experiment template
73	AdvAPI Wrapper around Local MPC for Demo Services	FastAPI · local SPDZ	Served secure sum API
74	AdvHonesty Assumptions and Incentive Compatibility Notes	mechanism design lite	Rational party models
75	AdvPost-Quantum Considerations for MPC Building Blocks	literature · OT/HE notes	PQC impact survey
76	AdvAudit Checklist for Academic MPC Implementations	security review list	Student codebases
77	AdvVisualization of Share Distribution and Reconstruction	matplotlib · interactive	Educational plots
78	AdvHybrid Trusted Hardware + MPC Architecture Concepts	TEE + MPC notes	Design diagrams
79	AdvLegal and Compliance Mapping (GDPR-Style) for SMPC	policy · technical map	Privacy regulation notes
80	AdvPerformance Regression Testing for MPC Programs	CI-style timing tests	Protocol versions
81	AdvCommunity Dataset of Synthetic Multi-Party Workloads	workload generator	Shared benchmark inputs
82	AdvFull Delivery Package: Code, Metrics, Thesis Structure	template · viva Q&A	Complete SMPC project

Projects are framed for educational research using open frameworks and public/synthetic data. Always document threat models and cite protocols. Contact us for protocol notes, metrics, university-format report, PPT and viva Q&A.

Why Choose Us for SMPC Projects?

Bangalore-based guidance for BE, BTech and MTech students in secure computation and privacy-preserving systems.

Secret Sharing & PSI

Additive/Shamir sharing demos, private set intersection and educational protocol walkthroughs.

PPML & Aggregation

Privacy-preserving regression/classification and secure aggregation for federated settings.

Circuits & Frameworks

Garbled circuit concepts, MP-SPDZ programs and PySyft/CrypTen experiments.

Applications & Analysis

Domain case studies, threat models, cost analysis and full thesis packages.

FAQ — Secure Multi-Party Computation Projects

Strong topics include secret sharing implementations, private set intersection, privacy-preserving linear models, secure aggregation for federated learning, MP-SPDZ protocol benchmarks and educational garbled-circuit walkthroughs.

MP-SPDZ, PySyft, CrypTen, Python; datasets include UCI tabular sets (e.g. Adult) for PPML and synthetic multi-party inputs for protocol demos.

No. Topics combine educational implementations, empirical benchmarks and clear threat-model documentation suitable for final-year evaluation.

Yes — protocol notes, evaluation metrics, university-format report, PPT and viva Q&A.

SMPC Project Lab — Bangalore

Protocol, PPML and application support for secure computation final-year projects.

Secret
Sharing

Additive · Shamir

Private Set
Intersection

PSI Protocols

Privacy-Preserving
ML

PySyft · CrypTen

Secure
Aggregation

Federated FL

Garbled
Circuits

2PC Concepts

MP-SPDZ
Benchmarks

Protocol Suites

Domain
Applications

Case Studies

Viva & Report
Support

Documentation