#IstioCon Using ECC Workload Certificates (pilot-agent environmental variables) Jacob Delgado / Aspen Mesh #IstioCon ECC workload certificates ● In various environments, the need for x509 certificates certificates that use Elliptical Curve Cryptography (ECC) is a requirement ● In Istio 1.6, support for workloads to use ECC certificates for mTLS in sidecar-to-sidecar communication was added ○ As of Istio 7+, 1.8.2+ and 1.9.0+ there is no longer the restriction that a plugged in CA certificate must use ECC cryptography (using ECDSA P-256) to use this feature ● Only ECDSA P-256 is supported #IstioCon

interfaccia utente grafica e sulla console. (Usare esempi shell.) • Essere obiettivi. (Usare popcon, ecc.) Suggerimento Si è cercato di spiegare aspetti gerarchici e i più bassi livelli di funzionamento la password di root ad altri. Nota I permessi di un file (inclusi i device hardware come CD-ROM, ecc. che sono nient’altro che un altro file per il sistema Debian) lo possono rendere inutilizzabile o l’utente che lo possiede (proprietario), il gruppo a cui appartiene, la data dell’ultimo accesso ad esso, ecc. L’idea di rappresentare praticamente tutto nel file system è stata un’innovazione di Unix e i kernel

核的形 式存在于芯片中 智能 IC 卡、智能密码钥匙、加 密卡、加密机等 Sm2 GB/T 32918-2016 ISO/IEC 10118-3:2018 ECC加解密，签名验 签，密钥交换 非对称 加密 128 ECC 是 TLCP、区块链等场景，用于签名 验签等 Sm3 GM/T 0004-2012 ISO/IEC 10118-3:2018 计算密码杂凑 哈希 256 SHA256 务通、警务通等重要领域）。 SM2 Introduction of SM2 Rust China Conf 2022 – 2023, Shanghai, China • SM2 为椭圆曲线（ECC）公钥加密算法，非对称加密，提 供加解密、数字签名、证书生成、密钥交换功能。由于以上 用例，也常用于区块链或网络安全密码协议，如SSL/TLS、 VPN。 • 保证数据机密性、真实性和完整性。 • SM4_CBC，SM4_GCM SM4_GCM， SM4_CCM 签名算法 RSA_SHA1，RSA_SM3， ECC_SM3，IBS_SM3 ECC_SM3，IBC，RSA_SHA256 SM2_SM3 密钥交换 ECDHE，IBSDH，ECC，IBC， RSA ECDHE，ECC，IBSDH，RSA SM2ECDHE 密钥派生 PRF（HMAC SHA1，SM3） PRF（HMAC SHA1，SM3）

2 TensorRT 8.0.3 21.08 NVIDIA CUDA 11.4.1 1.10.0a0+3fd9dcf 21.07 NVIDIA CUDA 11.4.0 1.10.0a0+ecc3718 TensorRT 8.0.1.6 21.06 NVIDIA CUDA 11.3.1 1.9.0a0+c3d40fd 21.05 21.04 NVIDIA CUDA 11.3.0 2 TensorRT 8.0.3 21.08 NVIDIA CUDA 11.4.1 1.10.0a0+3fd9dcf 21.07 NVIDIA CUDA 11.4.0 1.10.0a0+ecc3718 TensorRT 8.0.1.6 21.06 NVIDIA CUDA 11.3.1 1.9.0a0+c3d40fd 21.05 21.04 NVIDIA CUDA 11.3.0 2 TensorRT 8.0.3 21.08 NVIDIA CUDA 11.4.1 1.10.0a0+3fd9dcf 21.07 NVIDIA CUDA 11.4.0 1.10.0a0+ecc3718 TensorRT 8.0.1.6 21.06 NVIDIA CUDA 11.3.1 1.9.0a0+c3d40fd 21.05 21.04 NVIDIA CUDA 11.3.0

Resource(object): def on_get(self, req, resp): doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5-6e8adba7cc0e.png' } ] } # Create a JSON representation of the resource resp.body = json.dumps(doc Resource(object): def on_get(self, req, resp): doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5-6e8adba7cc0e.png' } ] } resp.data = msgpack.packb(doc, use_bin_type=True) resp.content_type additional parameter. def test_list_images(client): doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5-6e8adba7cc0e.png' } ] } response = client.simulate_get('/images') result_doc = msgpack.unpackb(response

doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5- 6e8adba7cc0e.png' } ] } # Create a JSON representation doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5- 6e8adba7cc0e.png' } ] } resp.data = msgpack.packb(doc test_list_images(client): doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5- 6e8adba7cc0e.png' } ] } response = client.simulate_get('/images')

Resource(object): def on_get(self, req, resp): doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5-6e8adba7cc0e.png' } ] } # Create a JSON representation of the resource (continues on next page) Resource(object): def on_get(self, req, resp): doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5-6e8adba7cc0e.png' } ] } resp.data = msgpack.packb(doc, use_bin_type=True) resp.content_type additional parameter. def test_list_images(client): doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5-6e8adba7cc0e.png' } ] } response = client.simulate_get('/images') result_doc = msgpack.unpackb(response

Resource(object): def on_get(self, req, resp): doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5-6e8adba7cc0e.png' } ] } # Create a JSON representation of the resource resp.body = json.dumps(doc Resource(object): def on_get(self, req, resp): doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5-6e8adba7cc0e.png' } ] } resp.data = msgpack.packb(doc, use_bin_type=True) resp.content_type parameter. def test_list_images(client): doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5-6e8adba7cc0e.png' } ] } response = client.simulate_get('/images') result_doc = msgpack.unpackb(response

Resource(object): def on_get(self, req, resp): doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5-6e8adba7cc0e.png' } ] } # Create a JSON representation of the resource resp.body = json.dumps(doc Resource(object): def on_get(self, req, resp): doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5-6e8adba7cc0e.png' } ] } resp.data = msgpack.packb(doc, use_bin_type=True) resp.content_type parameter. def test_list_images(client): doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5-6e8adba7cc0e.png' } ] } response = client.simulate_get('/images') result_doc = msgpack.unpackb(response

doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5- 6e8adba7cc0e.png' } ] } # Create a JSON representation doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5- 6e8adba7cc0e.png' } ] } resp.data = msgpack.packb(doc test_list_images(client): doc = { 'images': [ { 'href': '/images/1eaf6ef1-7f2d-4ecc-a8d5- 6e8adba7cc0e.png' } ] } response = client.simulate_get('/images')